ChatGPT answers, unedited

Yes. If by “AI crawler analytics” you mean historical data about crawlers such as GPTBot, ClaudeBot, Google-Extended, PerplexityBot, etc., there are a few API-accessible options.

1. Cloudflare — probably the closest fit

Cloudflare now exposes AI crawler analytics programmatically.

• AI Crawl Control GraphQL API gives you the analytics for your own Cloudflare-proxied site: requests, crawler, paths, response status, data transfer, referrers, etc. It exposes the same data available in the AI Crawl Control dashboard. Cloudflare Docs Cloudflare Docs
• You can filter by crawler/user agent, path, hostname, status, and date range. Cloudflare Docs
• Cloudflare Radar API is more interesting if you want broader ecosystem-level crawler statistics rather than just your own site. It has crawler summary and time-series endpoints, including an AI_BOTS data source. Cloudflare Docs Cloudflare Docs

developers.cloudflare.com

developers.cloudflare.com

2. Botify — historical server-log/crawl analytics

Botify has an API/BQL system that can expose historical crawl and server-log data from a site's own data. Its API is designed for programmatic querying and exports. Botify Botify

This is potentially useful if your question is more like:

“Give me every AI crawler request to my site over the past 18 months, grouped by bot, URL, status code, and day.”

The important distinction is that Botify's crawl collections represent your site's collected data, rather than a global dataset of AI crawler activity. Botify

developers.botify.com

3. Cloudflare Radar — if you want market-wide data

This may actually be what you're looking for if you're doing research/benchmarking rather than analyzing one website.

Radar's AI Bots & Crawlers dataset supports historical date ranges and dimensions such as user agent and crawl purpose, and its Data Explorer can generate the API request corresponding to a query. Cloudflare Radar

The API also explicitly provides crawler time series, rather than just current snapshots. Cloudflare Docs

One important distinction

There are two very different datasets people call “AI crawler analytics”:

For example, DataForSEO has a separate historical API for LLM mentions, with monthly data going back to August 2025, but that's measuring mentions/AI-search visibility rather than crawler requests. DataForSEO Docs

If you tell me whether you're after (a) your own site's crawler logs, (b) global AI-crawler statistics, or (c) competitive/domain-level AI visibility, I can narrow this down to the APIs that actually provide the historical fields you need and show you a Python/SQL example.

Yes. A few tools provide API access to AI crawler analytics, including historical data for programmatic analysis:

• developers.cloudflare.com — Best if you already use Cloudflare. It exposes AI crawler metrics (requests, crawlers, operators, paths, data transfer, trends) through the GraphQL Analytics API. Cloudflare Docs
• bevisible.app — Provides crawler analytics endpoints with date ranges, providers, categories, top pages, and crawler logs. BeVisible
• faurya.com — Offers AI crawl overview and page-level endpoints with historical date filters and time-series granularity. Faurya
• loglens.ai — Provides LLM crawler analytics including bot activity, intent categories, time series, and pages accessed. LogLens

If you mean global AI crawler activity across the web (not just your own domain/server logs), options are much more limited; most APIs measure your site’s observed crawler traffic. For research datasets, you’d typically need a vendor with a web crawl telemetry dataset rather than an analytics API.

Yes, there are tools/APIs that expose AI crawler analytics for programmatic analysis, but the right choice depends on what you mean by “historical AI crawler analytics”:

• Your own website’s AI crawler traffic (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc.)

These tools typically analyze server/CDN logs and provide APIs for requests, crawlers, pages accessed, timestamps, status codes, bandwidth, and trends.

• developers.cloudflare.com — provides AI crawler analytics and programmatic access through Cloudflare’s GraphQL Analytics API. It exposes crawler/operator breakdowns, requests over time, data transfer, paths, and filters by crawler/operator/date. Cloudflare Docs
• bevisible.app — offers endpoints for AI crawler analytics, including crawler visits, providers, categories, pages, and historical ranges. BeVisible
• faurya.com — provides REST endpoints for AI crawl summaries, page-level analytics, provider breakdowns, and time-series data. Faurya
• loglens.ai — includes LLM/AI crawler analytics with crawler intent classification and historical query windows. LogLens
• Public datasets / ecosystem-level AI crawler tracking

If you want aggregate research rather than analytics for your own domain:

• CrawlIndex provides an API and downloadable datasets containing crawler observations, daily history, and domain-level crawler statistics. CrawlIndex
• Building your own pipeline

Many companies instead ingest raw access logs (Cloudflare, nginx, Apache, AWS CloudFront, etc.) and classify:

• user-agent (GPTBot, ClaudeBot, PerplexityBot, etc.)
• IP verification ranges
• crawl intent (training vs retrieval vs search indexing)
• URL/page popularity
• crawl frequency over time

For a data science workflow, the APIs above usually give you JSON that can feed directly into Python/pandas, BigQuery, Snowflake, or a dashboard.

If you mean “historical analytics of AI bots crawling the entire web” (like a market intelligence dataset) rather than “analytics for my own site”, the available options are much more limited and usually involve licensed datasets rather than open APIs.

Yes. The strongest option I found is Cloudflare, and there are actually two relevant APIs depending on what you mean by “historical AI crawler analytics”:

• Cloudflare AI Crawl Control + GraphQL Analytics API — best if you want your own site's historical crawler activity. It exposes the same analytics as the dashboard programmatically, including requests, data transfer, crawler/operator, paths, response status, referrers, and time-series data. You can filter by crawlers such as GPTBot, ClaudeBot, OAI-SearchBot, etc. Cloudflare Docs Cloudflare Docs
• Cloudflare Radar API — best if you want aggregate/global AI crawler data, rather than analytics for one site. Its AI Bots and Web Crawlers endpoints provide historical summaries and time series, with dimensions such as user agent, operator, response status, vertical, and industry. Cloudflare Docs Cloudflare Docs

For programmatic analysis

For example, Radar exposes endpoints along the lines of:

GET /radar/ai/bots/timeseries
GET /radar/ai/bots/timeseries_groups/{dimension}
GET /radar/bots/crawlers/timeseries_groups/{dimension}

The crawler time-series API supports aggregation intervals such as 15 minutes, hourly, daily, and weekly, plus date-range filtering. Cloudflare Docs

If you're analyzing a particular website, I'd choose AI Crawl Control's GraphQL API because you can get much richer first-party data—for example:

date → crawler → URL/path → requests → status → bytes

That makes it suitable for loading into Python/pandas, BigQuery, Snowflake, etc. Cloudflare explicitly documents programmatic access for building custom reports and analysis. Cloudflare Docs

If you're trying to answer something more like “How has GPTBot/ClaudeBot/Google-Extended crawling changed across the web over the last 12–24 months?”, Radar is the more interesting API. Its Data Explorer also exposes the underlying API calls for its AI Bots & Crawlers dataset. Cloudflare Radar

If you tell me whether you want (a) analytics for your own domains, (b) industry/competitor-level data, or (c) global AI crawler trends, I can point you to the best API and show you the exact request/schema for pulling the historical data.

Yes. If by “AI crawler analytics” you mean historical traffic from GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc., there are now several APIs that expose this data programmatically.

Best options

• developers.cloudflare.com — probably the strongest option if you control the site through Cloudflare. It exposes the same AI-crawler analytics as the dashboard, including requests over time, crawler/operator, paths, status codes, referrals, and data transfer. You can query historical date ranges and aggregate it yourself. Cloudflare Docs Cloudflare Docs
• developers.cloudflare.com — better if you want global/industry-level AI bot trends, rather than analytics for one website. It has time-series endpoints and filters for AI crawlers, AI assistants, AI search, etc. Cloudflare Docs Cloudflare Docs
• bevisible.app — a simpler dedicated API for a particular project/site. Its crawler-analytics endpoint provides AI-crawler visits, providers, categories, top pages, missing pages, and activity, with ranges up to all and explicit from/to dates. BeVisible
• loglens.ai — specifically exposes LLM/AI crawler analytics with per-bot time series, crawler intent (training, search, fetcher), and pages crawled. Its API supports explicit start/end timestamps and up to 8,760 hours in a rolling query. LogLens
• datafa.st — useful if you're already using DataFast; it exposes bot traffic and the individual pages requested by bots, including crawler breakdowns. DataFast

One important distinction

There are really two different datasets:

1. Your site's actual AI-crawler logs

“GPTBot made 14,238 requests to /blog/... between Jan 1–31.”
→ Cloudflare AI Crawl Control, BeVisible, LogLens, DataFast, or your own server/CDN logs.

2. Internet-wide AI crawler trends

“AI crawlers increased 37% globally in the SaaS category during Q2.”
→ Cloudflare Radar is much closer to this. Cloudflare Docs

If your goal is programmatic historical analysis across many domains—e.g. “give me daily GPTBot/ClaudeBot/Perplexity activity for 10,000 websites going back 12 months”—that's a different and considerably harder requirement. I can research which APIs/data vendors actually offer that dataset and compare coverage, historical depth, granularity, pricing, and API limits.

Yes. There are several tools that expose AI crawler analytics via API for programmatic analysis. The right choice depends on whether you want your own site’s crawler logs, third-party web intelligence, or large-scale datasets.

APIs for your own website AI crawler analytics

• Cloudflare — If your traffic runs through Cloudflare, its AI Crawl Control analytics can be accessed programmatically through the GraphQL Analytics API. It provides crawler/operator breakdowns, requests, bandwidth, paths, and time-series data. Cloudflare Docs
• BeVisible — Provides REST endpoints for AI crawler analytics and logs, including crawler visits, providers, categories (training, indexing, answer fetch), top pages, and date-range filtering. BeVisible
• LogLens — Offers API access to LLM crawler analytics, including GPTBot, ClaudeBot, PerplexityBot, Google-Extended, intent classification, time series, and raw request logs. LogLens
• DataFast — Provides REST APIs for bot traffic analytics, with date ranges, crawler/company filters, categories, verification status, timeseries, and page-level data. DataFast DataFast
• DemandSphere — Provides crawl/log analytics APIs with bot classification, crawl activity, summaries, exports, and streaming options. DemandSphere

If you want to build your own pipeline

A common architecture is:

1. Collect raw web server/CDN logs:

• Cloudflare Logs
• AWS CloudFront logs
• Nginx/Apache access logs
• Fastly/Vercel logs
• Classify AI crawlers:

• GPTBot / ChatGPT-User
• ClaudeBot
• PerplexityBot
• Google-Extended
• Applebot-Extended
• Amazonbot
• Store events in:

• BigQuery
• Snowflake
• ClickHouse
• Elasticsearch/OpenSearch
• Analyze:

• crawl frequency by model provider
• pages fetched
• HTTP status distribution
• crawl depth
• changes over time
• correlation with AI search visibility

Things to check before choosing

• Historical retention: Some APIs only expose 30–90 days unless you pay for longer retention. BeVisible Faurya
• Verification: Prefer tools that verify crawlers by IP/reverse DNS rather than trusting only user-agent strings. TofuBofu
• Granularity: Decide whether you need aggregate metrics or raw request-level events.
• Coverage: Many tools measure crawl activity, not whether an AI model actually cited or used your content.

If you mean a global dataset of AI crawler activity across many websites (rather than analytics for a site you control), that is a different category and there are fewer options.

Yes. There are several APIs/tools that provide programmatic access to historical AI crawler analytics (for crawlers such as GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc.). The right choice depends on whether you want your own server-log data, a managed analytics platform, or AI visibility metrics.

Tools with AI crawler analytics APIs

BeVisible Faurya DemandSphere## Typical data you can pull

Most of these APIs expose some combination of:

• crawler/bot identity: - GPTBot
• ChatGPT-User
• ClaudeBot
• PerplexityBot
• Google-Extended
• request timestamps
• URLs/pages fetched
• HTTP status codes
• crawl frequency over time
• user-agent verification
• crawler category: - training
• indexing/search
• answer fetching
• geographic/request metadata (varies by provider)
• exports for BI pipelines

For example, some APIs expose endpoints like:

GET /crawler-analytics
GET /crawler-logs
GET /requests
GET /llms

with date filters such as:

?from=2026-01-01&to=2026-09-01

BeVisible LogLens## If you want to build your own analytics pipeline

A common architecture is:

1. Collect raw access logs:

• Nginx/Apache logs
• Cloudflare logs
• AWS CloudFront logs
• CDN logs
• Classify AI crawlers:

• user-agent matching
• reverse DNS verification where available
• Store events:

{
  "timestamp": "2026-09-10T12:00:00Z",
  "bot": "GPTBot",
  "url": "/docs/api",
  "status": 200,
  "bytes": 48291
}

1. Aggregate into: - daily crawl volume
2. pages crawled
3. bot share
4. crawl trends
5. AI search visibility dashboards

Some vendors also let you import historical logs if you already have archives. Asky Docs

Important limitation

There is no universal "AI crawler analytics API" from OpenAI, Anthropic, or Google that gives you global historical crawling data across the web. These tools generally measure:

• your own domain's observed crawler traffic, or
• analytics from infrastructure they control.

If you mean "historical AI crawler activity for any website/domain on the internet" (similar to Ahrefs/Semrush web indexes), that is a different category and much less available.

If you describe your use case (SEO research, AI visibility tracking, competitive analysis, internal BI, or training-data monitoring), I can narrow down the best API options.

Yes. There are several tools/APIs that expose AI crawler analytics programmatically, including historical request data, crawler identity, pages fetched, timestamps, and trends. The best choice depends on whether you want analytics for your own website (from server/CDN logs) or a global dataset of AI crawler behavior.

For your own website AI crawler analytics

• Cloudflare — If your site uses Cloudflare, its AI Crawl Control analytics can be accessed programmatically through the GraphQL Analytics API. It provides crawler/operator breakdowns, request trends, detection IDs, referrers, and bandwidth metrics. Cloudflare Docs

• Good for: enterprise-scale monitoring, bot control, historical trends.
• datafa.st — REST API for AI crawler traffic analytics. It supports historical date ranges, hourly/daily/weekly/monthly aggregation, crawler IDs, companies (OpenAI, etc.), categories such as answer_fetch, search_index, and training, plus requested pages. DataFast

• Good for: building dashboards, BI pipelines, automated analysis.
• faurya.com — Provides AI crawl summaries, provider totals, page-level analytics, time series, and recent crawl events. Faurya

• Good for: extracting AI crawler activity into custom applications.
• bevisible.app — Provides verified AI crawler visits, categories, providers, pages, and crawler logs through REST endpoints. BeVisible

• Good for: SEO/AI visibility workflows.

If you want a broader crawler dataset (not just your site)

• crawlindex.org — Offers public crawl statistics, daily history, domain-level observations, and crawler access data. CrawlIndex - Good for: research and benchmarking rather than private site analytics.

Typical data you can pull into a pipeline

A useful schema usually looks like:

{
  "timestamp": "2026-08-01T12:00:00Z",
  "crawler": "ChatGPT-User",
  "provider": "OpenAI",
  "category": "answer_fetch",
  "url": "/pricing",
  "status_code": 200,
  "verified": true
}

From that you can build:

• AI crawler traffic trends
• Which pages are being retrieved by ChatGPT/Claude/Perplexity/etc.
• Training vs answer-fetch vs indexing activity
• Crawl frequency changes over time
• AI visibility scores
• Correlations between crawler activity and referral traffic

If you mean "historical AI crawler analytics across the whole web" (e.g., "how often did GPTBot crawl sites in general over the last year?") rather than analytics for a domain you control, the available options are much more limited. Most providers only expose data from sites where they collect first-party traffic/log data. Cloudflare Docs DataFast

Yes. If by “historical AI crawler analytics” you mean which AI bots (GPTBot, ClaudeBot, Perplexity, etc.) crawled your site, when, how often, what URLs they hit, and how that changed over time, there are now a few viable API options.

Best options

• developers.cloudflare.com — probably the best fit

• Provides programmatic access through Cloudflare's GraphQL Analytics API.
• You can query AI crawler requests over time, filter by crawler/operator, URL/path, status, hostname, etc.
• Metrics include request volume, allowed requests, data transfer, referrals, and popular paths.
• This is particularly useful if you control the website's Cloudflare zone, because it gives you first-party server-side observations rather than estimates. Cloudflare Docs Cloudflare Docs
• ahrefs.com — easiest analytics product

• Tracks AI assistants, AI search crawlers, AI training crawlers, and other bots.
• Supports hourly/daily/weekly/monthly views and historical date ranges.
• Data can be exported as CSV/Google Sheets.
• It currently collects the underlying bot traffic through Cloudflare integration. Ahrefs Help Center Ahrefs
• Caveat: I don't see a public Ahrefs API endpoint specifically exposing Bot Analytics yet. Their general API does expose other historical SEO/AI-visibility data. Ahrefs for Developers
• developers.cloudflare.com — useful for broader crawler intelligence

• Has API endpoints for crawler summaries and time series, including dimensions such as user agent and referer.
• This is more internet-wide/aggregated crawler intelligence rather than analytics for your particular site. Cloudflare Docs Cloudflare Docs
• developers.botify.com — good enterprise alternative

• Provides APIs/BQL for site-crawl and server-log data.
• Its LogAnalyzer uses server logs as the source of truth for bot interactions, while its newer AI Visibility product measures AI search visibility. Botify Botify Knowledge Base

If you're building a data pipeline

I'd lean toward Cloudflare AI Crawl Control → GraphQL → your warehouse.

You could periodically pull something like:

date
crawler
operator
url/path
requests
status_code
bytes
referrer

and build your own time series such as:

GPTBot
ClaudeBot
PerplexityBot
Google-Extended
Bytespider
Amazonbot
Meta-ExternalAgent

The important distinction is that Cloudflare can give you historical observations of actual requests to your site, whereas tools that measure “AI visibility” or AI citations are answering a different question.

If you tell me whether you're looking for (1) your own site's crawler logs, (2) competitor/any-domain historical crawler data, or (3) aggregate internet-wide AI crawler trends, I can identify the APIs that actually expose that data and compare pricing/coverage.

Yes. If by “historical AI crawler analytics” you mean programmatically querying which AI bots have crawled a website, when, how often, which URLs they accessed, bandwidth, etc., there are a few options.

Best option: Cloudflare

developers.cloudflare.com

Cloudflare now exposes AI Crawl Control analytics through its GraphQL Analytics API. It can query historical data for crawlers such as:

• GPTBot
• ChatGPT-User
• OAI-SearchBot
• ClaudeBot
• Bytespider
• other identified AI crawlers

You can analyze requests over time, crawler/operator, URL/path, HTTP status, data transfer, and AI referral traffic. Cloudflare specifically documents programmatic access to the same analytics available in its dashboard. Cloudflare Docs Cloudflare Docs

For example, you can query hourly GPTBot activity and response bytes:

httpRequestsAdaptiveGroups(
  filter: {
    datetime_geq: "2026-08-01T00:00:00Z"
    datetime_leq: "2026-09-01T00:00:00Z"
    requestSource: "eyeball"
    botDetectionIds_hasany: [123815556]
  }
) {
  count
  dimensions {
    datetimeHour
    botDetectionIds
    clientRequestHTTPHost
  }
  sum {
    edgeResponseBytes
  }
}

That makes it quite suitable for building your own Python/R/Pandas pipeline, warehouse, dashboards, or time-series analysis.

If you want internet-wide rather than your own site's data

Cloudflare Radar has a separate REST API for crawler statistics. Its crawler endpoints provide historical time series and breakdowns by user agent, operator, client type, referrer, industry, response status, etc. Cloudflare Docs Cloudflare Docs

developers.cloudflare.com

This is more useful if your question is something like:

“How has GPTBot vs ClaudeBot vs PerplexityBot activity across the web changed over the past year?”

rather than:

“How many times did GPTBot crawl my site?”

Other tools

There are also newer products that ingest your server/CDN logs and expose crawler analytics through an API. For example, TofuBofu has an API specifically for submitting and retrieving crawler-hit data, including bot, path, date, and live-fetch classifications. TofuBofu

The important distinction is that these tools generally cannot tell you what AI models actually “know” about your site. Crawler activity is measurable; whether a model subsequently trained on, cited, retrieved, or incorporated that content is a different problem.

If you're looking to build a historical dataset of AI crawler activity across many websites (rather than just analytics for a site you control), I can also identify the best APIs/data providers for that use case and compare coverage, historical depth, cost, and API access.

Yes. There are several tools/APIs that expose AI crawler analytics, but the right choice depends on whether you mean:

1. Your own site’s historical AI crawler traffic (who crawled you, when, what pages, status codes), or
2. A broader market dataset (how AI crawlers behave across many websites).

For your own site analytics

• developers.cloudflare.com — If your traffic runs through Cloudflare, it provides AI crawler analytics (crawler/operator breakdowns, requests, bandwidth, paths, date filtering) and programmatic access through the GraphQL Analytics API. Cloudflare Docs
• bevisible.app — Provides API endpoints for AI crawler analytics, including crawler visits, providers, categories (such as answer fetching, indexing, training), top pages, and historical ranges. BeVisible
• faurya.com — Offers AI crawl analytics APIs with date ranges, hourly/daily/weekly/monthly aggregation, provider breakdowns, and page-level crawl analytics. Faurya
• loglens.ai — Exposes AI crawler time series, per-bot analytics, crawler verification status, pages accessed, and raw crawler request logs. LogLens

For historical / research datasets

• crawlindex.org — A public dataset/API focused on AI crawler accessibility measurements. It provides daily history, crawler/platform breakdowns, domain-level observations, and downloadable JSONL datasets. CrawlIndex CrawlIndex

If you want to build your own analytics pipeline

A common architecture is:

1. Collect raw access logs (Cloudflare, nginx, CDN, WAF, etc.).
2. Identify verified AI crawlers: - GPTBot / ChatGPT crawlers
3. ClaudeBot
4. Google-Extended
5. PerplexityBot
6. Applebot-Extended
7. others
8. Store events: ```

timestamp
crawler_name
verified_status
URL/path
HTTP status
bytes served
user agent
country/ASN (optional)

4. Aggregate into: - crawl volume over time
- pages most requested
- crawler share
- blocked vs allowed requests
- content categories affected

If your goal is **SEO/AEO research across the web**, CrawlIndex-style datasets are closer. If your goal is **monitoring your own domain**, Cloudflare/log-based APIs are usually the better fit. [Cloudflare Docs](https://developers.cloudflare.com/ai-crawl-control/features/analyze-ai-traffic/?utm_source=chatgpt.com) [CrawlIndex](https://crawlindex.org/data?utm_source=chatgpt.com)

I can also help compare these by **API cost, historical depth, coverage of GPTBot/ClaudeBot/Perplexity, and suitability for a data warehouse pipeline**.

Yes. If by “historical AI crawler analytics” you mean which AI bots have crawled your site, when, and which URLs they fetched, there are now several APIs that expose this programmatically.

Best options I found

• loglens.ai — probably the closest match. Its LLM crawler endpoint provides per-bot time series, pages crawled, verified crawler status, and date-range queries. It supports start/end timestamps and up to 8,760 hours (1 year) in a query. It tracks GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc. LogLens
• demandsphere.com — more enterprise-oriented. Its API exposes crawl activity by bot/date/URL/status, and it says historical logs are retained for 13 months by default, with longer retention on Enterprise. Data can also be exported to BigQuery or S3. DemandSphere
• tofubofu.com — interesting if you want to build your own data pipeline. You can POST aggregated crawler hits from your own server logs and retrieve them through an API, with up to 365 days of queried history. TofuBofu
• threelayerapproach.com — advertises a 90-day historical archive, URL-level analysis, bot filtering, and CSV export, though it appears more analytics-oriented than API-first. 3LA.ai - Three Layer Approach

One important distinction

There are actually two different datasets people call “AI crawler analytics”:

1. First-party crawl logs — GPTBot requested /pricing at 03:14 UTC.

This is observable and can be collected from your CDN/server. It tells you what AI systems actually fetched.

2. AI visibility/citation data — ChatGPT/Perplexity/Claude mentioned your site in an answer.

That's a different dataset and generally requires querying AI/search results or specialized monitoring; crawler logs alone don't tell you whether a page was ultimately cited.

For programmatic analysis, I'd favor first-party crawler logs + API access, because you can build a durable dataset such as:

timestamp
bot
operator
bot_type
url
status_code
response_bytes
country
referrer

Then you can analyze things like crawl frequency, recrawl latency after publishing, URL coverage, bot share, and changes in AI crawling over time.

If you're looking for an API specifically for historical data across many websites/domains (not just your own site's server logs), that's a different and much harder market. I can look specifically for providers offering domain-level historical AI crawler datasets/API access, including pricing and coverage.

Yes. If by “AI crawler analytics” you mean historical data on bots such as GPTBot, ClaudeBot, PerplexityBot, etc. hitting your own website, there are a few options—but Cloudflare is currently the strongest fit for programmatic analysis.

Best options

• Cloudflare AI Crawl Control + GraphQL Analytics API — probably the best match. Cloudflare exposes AI-crawler request data programmatically, including crawler, operator, hostname, paths, request counts, status codes, bandwidth, and time-series data. You can specifically query verified AI crawlers such as GPTBot, ClaudeBot, and PerplexityBot. Cloudflare Docs Cloudflare Docs

developers.cloudflare.com

• Cloudflare Radar API — better if you want global AI-bot/crawler trends, rather than traffic to your own site. It has REST endpoints for AI-bot request time series and breakdowns by bot/dimension. Cloudflare Docs Cloudflare Docs

developers.cloudflare.com

• Ahrefs Bot Analytics — interesting if you want a more SEO-oriented interface. It tracks AI crawlers server-side through Cloudflare and lets you analyze bots/pages over hourly, daily, weekly, or monthly periods and export the data. Ahrefs Ahrefs Help Center

ahrefs.com

The important distinction

If you're trying to build something like:

“For every URL on my site, show how many times each AI crawler accessed it each day for the past 12 months, and correlate that with AI-search referrals/citations.”

I'd lean toward Cloudflare + your own data warehouse.

Cloudflare's AI Crawl Control GraphQL API can expose dimensions such as:

timestamp
crawler
operator
hostname
URL/path
HTTP status
request count
bytes transferred

and its documentation explicitly describes querying AI crawler requests over time through GraphQL. Cloudflare Docs Cloudflare Docs

One caveat: “historical” doesn't necessarily mean arbitrary years of backfill. The useful history depends on when/where you started collecting the data and the retention available for the particular Cloudflare analytics product. Cloudflare's general Bot Analytics, for example, currently has substantially shorter UI history than the AI Crawl Control analytics. Cloudflare Docs

If you tell me what you're trying to analyze (e.g. GPTBot/ClaudeBot crawl frequency, AI search referrals, citations/mentions in ChatGPT/Perplexity, or competitor-wide AI visibility), I can identify the best API/data source and its historical-data limits.

Yes. If by historical AI crawler analytics you mean “give me an API showing which AI bots have crawled a site, when, how often, and which pages they hit,” there are a few options.

Best options

• developers.cloudflare.com — probably the strongest option if you control the website and it runs through Cloudflare. You can query historical request data programmatically, broken down by crawler, operator, hostname, path, time, bandwidth, etc. It explicitly supports crawlers such as GPTBot, ClaudeBot, PerplexityBot and Bytespider. Cloudflare Docs Cloudflare Docs
• developers.cloudflare.com — better if you want aggregate/global AI-crawler trends, rather than analytics for one site. It provides AI-bot HTTP-request time series and breakdowns through a REST API. Cloudflare Docs Cloudflare Docs
• loglens.ai — a more turnkey API specifically exposing LLM crawler analytics, including per-bot time series, verified crawler status, and pages crawled. Its API supports explicit start/end timestamps and up to 8,760 hours in the rolling-window parameter. LogLens
• test-app.opttab.com — offers an API for AI traffic and bot-crawl reports, with date, source, and page dimensions. Opttab

Important distinction

There are actually three different datasets people call “AI analytics”:

For example, Cloudflare can distinguish GPTBot (AI crawler), OAI-SearchBot (AI search), and ChatGPT-User (AI assistant), which is much more useful than simply looking for "GPTBot" in raw logs. Cloudflare Docs

If you're building a programmatic dataset, I'd lean toward Cloudflare's GraphQL API if you have access to the site's edge logs. It gives you the underlying historical request data rather than just a dashboard, and you can aggregate it yourself by crawler × day × URL × status × bytes, etc. Cloudflare Docs

If you tell me whether you're looking for (a) your own site's crawler history, (b) competitor/site-wide historical crawler data, or (c) global AI crawler trends, I can point you to the most suitable API and its historical-data limits.

Yes. If by “historical AI crawler analytics” you mean which AI bots have crawled your site, when, what URLs they hit, how often, and how that changes over time, there are now several options with programmatic access.

Best options

• developers.cloudflare.com — probably the strongest fit

• Provides historical AI-crawler request data through Cloudflare's GraphQL Analytics API.
• Can break activity down by crawler, operator, hostname, path, status, etc.
• Supports crawlers such as GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, PerplexityBot, Bytespider, and others. Cloudflare Docs Cloudflare Docs
• You can query time ranges programmatically and retrieve request counts and bandwidth.
• If your site is already behind Cloudflare, this is the first thing I'd investigate.
• docs.tryprofound.com — more AI-specific analytics

• Provides AI crawler identification/classification, historical trend analysis, page-level analytics, and reporting.
• Its API has a Bots Report specifically designed for programmatic analysis. The API supports hourly aggregation and dimensions including date, path, bot_name, bot_provider, and bot_type. Profound Profound
• It distinguishes things such as indexing, training, and AI-assistant/citation activity, which is useful if you're trying to understand AI visibility rather than simply bot traffic.
• tollbit.com — particularly interesting for AI-agent/publisher analytics

• Ingests server/CDN logs and reports AI bot traffic by agent, including trends and scrape-vs-visit behavior. TollBit
• Its transaction/analytics infrastructure is oriented toward AI-agent access, licensing, and usage rather than traditional web analytics. TollBit

One important distinction

There are really two different datasets you might be looking for:

1. Your site's historical crawler logs

• “GPTBot hit /pricing 143 times last month.”
• “ClaudeBot crawled these 2,000 URLs.”
• “Perplexity traffic increased 37%.”

→ Cloudflare / Profound / TollBit are relevant.

2. Historical AI-crawler activity across the entire web

• “How much did GPTBot crawl the web in 2024?”
• “Which AI crawlers are growing fastest?”
• “How much AI-bot traffic does the average publisher receive?”

→ That's a different data product. Cloudflare Radar has a public/API-accessible global crawler dataset with time-series endpoints, including AI-bot classifications and dimensions such as user agent, operator, referrer, and crawler type. Cloudflare Docs Cloudflare Docs

If you're building a programmatic dataset for research/analysis, I'd rank them Cloudflare → Profound → TollBit, depending on whether you want raw request analytics, AI-visibility analytics, or AI-agent/monetization data.

If you tell me whether you mean analytics for your own domains or global historical AI-crawler data across many websites, I can narrow this down to the APIs that actually expose the historical data you need.

Yes. Cloudflare is currently the clearest option if you want programmatic access to historical AI-crawler analytics for your own sites.

Best option: Cloudflare AI Crawl Control

Cloudflare now exposes AI crawler analytics through its GraphQL Analytics API. It provides essentially the same data available in the AI Crawl Control dashboard, but programmatically. Cloudflare Docs Cloudflare Docs

You can analyze things such as:

• Crawler: GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, Bytespider, etc.
• Operator: OpenAI, Anthropic, Google, ByteDance, Meta, Microsoft, etc.
• Requests over time
• HTTP status codes
• Bandwidth/data transfer
• URL/path being crawled
• Hostname
• Referrer traffic — on applicable paid plans
• Crawler purpose/category
• Verified bot detection IDs rather than relying solely on user-agent strings Cloudflare Docs

The particularly useful part for historical analysis is that you can specify date ranges in GraphQL queries and retrieve aggregated request data, making it suitable for loading into a warehouse, pandas, R, etc. Cloudflare Docs

developers.cloudflare.com
developers.cloudflare.com

There's also Cloudflare Radar

If what you want is industry-wide AI crawler trends rather than traffic to your own website, Cloudflare Radar has a separate API.

Its AI Bots API can provide historical time series, with filters for things like crawl purpose, operator, and date range. It supports intervals from 15 minutes through weeks/months depending on the endpoint and requested period. Cloudflare Docs Cloudflare Docs

For example, you could programmatically ask questions like:

"How has AI-search crawler traffic changed over the last 12 months?"

or

"What proportion of crawler traffic is coming from AI bots versus traditional crawlers?"

The Radar API has endpoints specifically for crawler distributions by user agent, referrer, crawl ratio, vertical, industry, response status, etc. Cloudflare Docs

developers.cloudflare.com
radar.cloudflare.com

Which one I'd use

One important distinction: Cloudflare Radar tells you about the broader Internet, whereas AI Crawl Control gives you first-party analytics for sites behind your Cloudflare zone.

If by "AI crawler analytics" you mean something more specific—e.g. historical crawl frequency for GPTBot/ClaudeBot/PerplexityBot across thousands of domains, including domains you don't own—that's a different problem, and I can identify the APIs/data vendors that provide that dataset.

Yes. If by “AI crawler analytics” you mean historical requests from bots such as GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc., there are a few options.

Best options

• developers.cloudflare.com — probably the strongest option if you control the website through Cloudflare. Its GraphQL API exposes the same AI-crawler analytics as the dashboard, including crawler/operator, requests, paths, status codes, referrals, and data transfer. You can query historical date ranges programmatically. Cloudflare Docs Cloudflare Docs
• developers.cloudflare.com — useful if you want aggregate AI-crawler trends across the web, rather than analytics for your own site. It has endpoints for AI-bot request time series and dimensions such as operator, crawl purpose, and bot type. Cloudflare Docs Cloudflare Docs
• loglens.ai — a more specialized third-party option. Its API explicitly provides per-bot time series, verification status, pages crawled, and AI-crawler percentages. It supports arbitrary start/end timestamps and up to 8,760 hours for its rolling-window endpoint. LogLens

If you're building a dataset

I'd distinguish between two use cases:

One important caveat: Cloudflare Radar is aggregate Internet-level data, whereas AI Crawl Control is much more useful for answering questions like “How many times did GPTBot crawl /blog/* last month?” on a site you control. Cloudflare explicitly documents programmatic access to AI Crawl Control through GraphQL. Cloudflare Docs

If you tell me whether you want analytics for your own domains or a dataset covering many/all websites, I can point you to the best API and show you the exact API query/Python workflow for pulling the historical data.

Yes. If by “AI crawler analytics” you mean historical data on bots such as GPTBot, ClaudeBot, Google-Extended, PerplexityBot, etc., there are now several APIs that can provide this programmatically.

Best options

• developers.cloudflare.com — probably the strongest option if you control the website. It exposes essentially the same AI-crawler analytics shown in Cloudflare's dashboard, including requests, crawler/operator, paths, status codes, referrals, and bandwidth. You can query arbitrary historical date ranges and aggregate the data yourself. Cloudflare Docs Cloudflare Docs

• Particularly useful for: GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, Bytespider, etc.
• Caveat: historical depth depends on your Cloudflare plan/configuration. Free AI Crawl Control analytics are limited to a 24-hour window, while Enterprise/Bot Management provides configurable historical timeframes. Cloudflare Docs
• developers.cloudflare.com — better if you're interested in global AI crawler trends, rather than traffic to your own site. It provides AI-bot request time series and supports filters such as crawl purpose, with aggregation from 15 minutes through weeks. Cloudflare Docs
• faurya.com — a more specialized API for site-level AI crawler analytics. It exposes provider totals, crawler activity, top pages, time series, and crawl events, with custom date ranges up to 366 days. Faurya
• bevisible.app — provides AI crawler visits, providers, categories, top pages, missing pages, and recent activity, with 24h, 7d, 30d, 90d, and all ranges plus custom from/to dates. BeVisible

If you're building an analytics dataset

I'd lean toward Cloudflare GraphQL if you own/control the sites. You can periodically pull something like:

timestamp
domain
crawler
operator
path
requests
status_code
bytes
referrer

and store it in BigQuery, Snowflake, Postgres, ClickHouse, etc. That gives you a durable historical dataset rather than depending on whatever retention the dashboard currently provides.

If what you're actually looking for is a third-party API that has historical AI-crawler traffic across thousands/millions of websites (rather than analytics for websites you control), that's a different—and more interesting—set of providers. I can identify the APIs/data vendors that offer that type of dataset and compare coverage, historical depth, granularity, and pricing.

Yes. If by “AI crawler analytics” you mean historical data on crawlers such as GPTBot, ClaudeBot, Google-Extended, Bytespider, PerplexityBot, etc., there are a few options—but they differ substantially in whether the data is your own site's traffic or global crawler activity.

Best options

• Cloudflare AI Crawl Control — best for your own websites. Cloudflare now exposes the same AI crawler analytics shown in its dashboard through its GraphQL Analytics API. You can query historical requests, crawler/operator, paths, response status, bandwidth, referrals, and more programmatically. Cloudflare Docs Cloudflare Docs

developers.cloudflare.com

• Cloudflare Radar API — best for global/industry-level AI crawler trends. Its API has endpoints for AI-bot request time series and crawler distributions, with dimensions such as bot, user agent, operator, crawl purpose, and category. Cloudflare Docs Cloudflare Docs

developers.cloudflare.com

• Ahrefs Bot Analytics — interesting for site-level bot analysis. It tracks bots across categories including AI assistants, search engines, and SEO tools, and reports which bots visit which pages. However, I'd investigate its API availability specifically before choosing it for a fully automated historical data pipeline. Ahrefs Help Center

If you're building a dataset

I'd lean toward Cloudflare Radar API if your goal is something like:

date | crawler | operator | requests | crawl_purpose
------------------------------------------------------
2026-08-01 | GPTBot | OpenAI | 1,284,321 | training
2026-08-01 | ClaudeBot | Anthropic | 421,882 | training
2026-08-01 | PerplexityBot | Perplexity | 193,441 | search
...

It provides explicit time-series endpoints and supports aggregation intervals such as 15m, 1h, 1d, and 1w. Cloudflare Docs Cloudflare Docs

If instead you want “how many times did AI crawlers visit my domain, which pages did they crawl, and how has that changed over the last 6–24 months?”, Cloudflare AI Crawl Control's GraphQL API is much closer to what you want. Cloudflare Docs

If you tell me whether you're looking for (a) one specific website, (b) a database of many websites, or (c) global AI-crawler trends, I can identify the best API and show you the exact endpoints/query structure for programmatic analysis.

Yes. There are now several options that expose historical AI-crawler analytics programmatically, but they differ substantially in whether the data is your own site's traffic or global crawler activity.

Best options

• developers.cloudflare.com — probably the strongest choice if you want analytics for your own domains. It exposes the same AI-crawler data as the dashboard through GraphQL, including crawler/user-agent, detection IDs, request counts, paths, referrers, and bytes transferred. You can query arbitrary historical date ranges supported by your Cloudflare analytics retention. Cloudflare Docs Cloudflare Docs
• developers.cloudflare.com — better if you're interested in global AI-crawler trends rather than traffic to your own site. Its API provides AI-bot request time series and can filter by crawl purpose, with historical ranges up to 364 days for some endpoints. Cloudflare Docs Cloudflare Docs
• faurya.com — specifically exposes AI-crawl analytics via REST. It provides provider totals, time series, crawler activity, page-level data, and crawl categories, with custom date ranges up to 366 days. This is interesting if you want a relatively straightforward REST API rather than GraphQL. Faurya
• loglens.ai — another API-oriented option for your own site. It provides per-bot time series, verification status, pages crawled, and historical queries using start/end timestamps; its documented rolling window goes up to 8,760 hours (one year). LogLens

If you're building a dataset

I'd distinguish the use cases like this:

One particularly useful feature of Cloudflare is that the API can distinguish verified crawlers using bot detection IDs, rather than relying solely on user-agent strings, which can be spoofed. Cloudflare Docs

If by "historical AI crawler analytics" you mean something more specific—e.g. "I want to query GPTBot/ClaudeBot/PerplexityBot activity across thousands of websites going back several years"—that's a different problem. I can look specifically for APIs/data vendors that provide cross-site historical AI crawler datasets, rather than analytics for domains you own.

Yes. If you mean historical analytics of AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc.) with API access for analysis, there are several options. The right one depends on whether you want your own website’s crawler logs or global AI crawler intelligence.

Tools with APIs for AI crawler analytics

• developers.cloudflare.com — Best if your sites run through Cloudflare.

• Provides AI crawler metrics (requests, bandwidth, crawlers/operators, paths, trends).
• Offers programmatic access through the Cloudflare GraphQL Analytics API. Cloudflare Docs
• Useful dimensions: - crawler/operator
• hostname/path
• time series
• allowed vs blocked requests
• data transfer
• loglens.ai — More API-first for SEO and AI crawler analysis.

• Provides endpoints for: - AI crawler summaries
• per-bot time series
• pages crawled
• raw crawler request logs
• date-range queries
• Supports crawlers such as GPTBot, ClaudeBot, PerplexityBot, and Google-Extended. LogLens
• demandsphere.com — Enterprise-oriented crawl analytics.

• Provides APIs for crawl activity, bot behavior, URL patterns, response codes, and exports.
• Supports AI crawler classification alongside traditional SEO bots. DemandSphere
• faurya.com — Dedicated AI crawl endpoints.

• Provides: - provider totals
• crawler time series
• top pages
• page-level crawl analytics
• date filtering (up to their documented retention limits) Faurya

If you want to build your own pipeline

A common architecture is:

1. Collect edge/origin logs:

• Cloudflare Logs
• AWS CloudFront logs
• nginx/Apache logs
• CDN provider logs
• Classify user agents:

• GPTBot
• ChatGPT-User
• ClaudeBot
• PerplexityBot
• Google-Extended
• Bytespider
• etc.
• Store events:

• BigQuery
• ClickHouse
• Snowflake
• PostgreSQL
• Analyze:

• crawl frequency over time
• pages accessed
• bot share by provider
• crawl depth
• response codes
• correlation with AI referral traffic

Things to watch for

• Many analytics products remove bot traffic by default, so Google Analytics-style tools usually will not help.
• User-agent strings can be spoofed; higher-quality systems verify crawlers using IP ranges/reverse DNS. Kitbase
• Historical depth varies widely. Some tools only keep 7–30 days unless you export data; others support longer retention. CrawlerLogs

If you mean a dataset/API that tracks AI crawlers across the entire web (not just your own domains), that is a different category—there are fewer providers, and the data is usually commercial.

Yes. If by historical AI crawler analytics you mean “which AI bots have crawled my site, when, what pages they fetched, and how often,” there are now several APIs that can support programmatic analysis.

Best options

• Cloudflare AI Crawl Control — probably the strongest option if your sites are behind Cloudflare. Its GraphQL Analytics API exposes the same AI-crawler data as the dashboard, including crawler identity/detection IDs, requests over time, paths, referrers, status codes, and bytes transferred. Cloudflare Docs Cloudflare Docs

developers.cloudflare.com

• Faurya — has a dedicated REST API for AI crawl analytics, including historical date ranges, provider totals, time series, individual pages, crawler/status-code breakdowns, and pagination. It supports ranges up to 366 days. Faurya

faurya.com

• LogLens — offers a relatively simple REST API specifically for LLM/AI crawler analytics. You can query historical windows or explicit start/end timestamps and get per-bot time series plus pages crawled. LogLens

loglens.ai

• Cloudflare Radar — useful if you want aggregate/global AI crawler trends, rather than analytics for your own site. Its API has AI-bot/crawler time series and dimensions such as user agent, operator, and client type. Cloudflare Docs Cloudflare Docs

developers.cloudflare.com

One important distinction

If you're trying to answer:

“How much did GPTBot, ClaudeBot, PerplexityBot, etc. crawl my domains historically?”

I'd prioritize Cloudflare or a dedicated server-log analytics provider. AI crawlers generally don't execute JavaScript, so traditional Google Analytics-style data isn't sufficient; you need edge/server request data. DataEase AI

If instead you mean:

“How much AI crawling is happening across the web / which AI bots are growing fastest?”

then Cloudflare Radar is much more interesting. Its API provides historical time series at multiple aggregation levels. Cloudflare Docs Cloudflare Docs

If you tell me whether you're looking for your own websites vs. industry-wide data, I can compare the APIs by historical retention, granularity, crawler coverage, price, rate limits, and whether you can pull the data directly into Python/SQL.

Yes — but there’s an important distinction between historical AI-crawler activity for your own site and market-wide AI crawler data.

Best fit: Cloudflare

If you control the website and have its traffic going through Cloudflare, its AI Crawl Control is probably the closest match to what you're describing.

It provides historical analytics for crawlers such as:

• GPTBot / OAI-SearchBot
• ClaudeBot / Claude-SearchBot
• PerplexityBot
• Google AI crawlers
• Bytespider
• Meta crawlers
• others

You can break activity down by crawler, operator, hostname, URL path, requests, bandwidth, status, and referrals. Most importantly for your question, Cloudflare explicitly provides programmatic access through its GraphQL Analytics API. developers.cloudflare.com

Cloudflare AI Crawl Control analytics documentation
Cloudflare GraphQL API documentation

For example, you could programmatically pull something like:

date        crawler          requests    bytes       paths
2026-08-01  GPTBot           12,431      842 MB      3,821
2026-08-01  ClaudeBot         4,182      211 MB      1,204
2026-08-01  PerplexityBot     2,913      173 MB        884
...

Cloudflare also has a separate Radar API with crawler time-series endpoints, although that's more useful for aggregate/global crawler trends than analytics for a particular website. developers.cloudflare.com

If you mean competitor/market-wide historical data

That's much harder.

Services such as DataForSEO provide historical search/traffic datasets and APIs, but I don't see evidence that they provide a historical database of AI-bot requests to arbitrary websites. Their historical traffic products are primarily modeled SEO/search traffic rather than actual GPTBot/ClaudeBot request logs. dataforseo.com

Likewise, Bright Data offers APIs for crawling websites and collecting web data, but that's data collection, not a historical database of which AI crawlers visited sites. docs.brightdata.com

So, depending on what you're building

If your goal is something like “I want an API where I can give it 10,000 domains and get monthly GPTBot / ClaudeBot / PerplexityBot activity going back 12–24 months”, that's a substantially different product—and I can look specifically for vendors/databases that provide that kind of competitive AI-crawler intelligence.

Yes. The strongest option I found is Cloudflare Radar, which now exposes historical AI-crawler data programmatically.

Best option: Cloudflare Radar API

developers.cloudflare.com

Cloudflare has dedicated AI Bots endpoints that provide historical time series and breakdowns, including:

• AI bot HTTP-request volume over time
• Bot/operator/user-agent breakdowns
• Referrers
• Crawl purpose and other dimensions
• Configurable aggregation intervals, including hourly, daily, weekly, and monthly
• Historical date ranges

For example, its API exposes endpoints equivalent to:

GET /radar/ai/bots/timeseries
GET /radar/ai/bots/summary/{dimension}
GET /radar/ai/bots/timeseries_groups/{dimension}

The Radar API supports API-token authentication and is intended for programmatic querying. Cloudflare Docs Cloudflare Docs

There is also a broader crawler API that can distinguish AI_BOT traffic from other crawler classes and break it down by user agent, referrer, response status, etc. Cloudflare Docs Cloudflare Docs

If you mean your own website's AI-crawler analytics

That's actually even better: Cloudflare AI Crawl Control provides programmatic access to the analytics for your own zone.

developers.cloudflare.com

Cloudflare explicitly says its GraphQL Analytics API provides the same AI Crawl Control data available in the dashboard, including:

• individual AI crawler detection IDs
• requests over time
• referrer data
• bytes transferred
• paths
• HTTP status codes
• crawler-specific analytics

Cloudflare Docs Cloudflare DocsFor example, you can query specific crawlers such as GPTBot, ChatGPT-User, and OAI-SearchBot and aggregate their requests hourly. Cloudflare Docs

Important distinction

Cloudflare Radar even exposes historical AI Insights going back to at least 2024, so this isn't limited to current/live measurements. Cloudflare Radar

If your goal is something like "pull daily AI crawler activity for 10,000 domains into a database and analyze GPTBot/ClaudeBot/PerplexityBot trends", I can also compare the available APIs/datasets (Cloudflare, Common Crawl, DataForSEO, etc.) and identify which one actually supports that use case.

Yes. If by “AI crawler analytics” you mean historical data on bots such as GPTBot, ClaudeBot, PerplexityBot, etc. hitting your own sites, there are now APIs that are quite suitable for programmatic analysis.

Best fit: Cloudflare AI Crawl Control

developers.cloudflare.com

Cloudflare exposes its AI-crawler analytics through a GraphQL Analytics API. You can query the same underlying data shown in the AI Crawl Control dashboard and build your own datasets/reports. Cloudflare Docs Cloudflare Docs

It can give you things like:

• Requests over time
• Crawler/operator
• Specific AI bots, including GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, PerplexityBot, etc.
• URL/path
• HTTP status
• Bytes transferred
• Referrer
• AI-crawler detection IDs
• Hourly aggregations

For example, Cloudflare's API documentation explicitly demonstrates querying GPTBot, ChatGPT-User and OAI-SearchBot over time. Cloudflare Docs Cloudflare Docs

The important caveat is historical retention. Cloudflare says the free-plan Metrics view only exposes the previous 24 hours, while Enterprise/Bot Management provides configurable analytics timeframes. Cloudflare Docs If you're building a long-term dataset, you'd want to periodically pull the GraphQL data into your own warehouse.

Another option: Botify

developers.botify.com

support.botify.com

Botify is interesting if you're looking for SEO/crawler/log analysis more broadly. Its API exposes data from crawls and server logs, and its BQL system can be queried programmatically. Botify Botify Knowledge Base

However, for specifically AI-crawler traffic, I'd investigate Cloudflare first because its AI Crawl Control product explicitly classifies AI operators and exposes those classifications through the API.

If you mean something different

There are actually three different datasets people sometimes call “AI crawler analytics”:

If your goal is to build something like “daily historical AI crawler database”—e.g. crawler × date × URL × requests × bytes × status, then Cloudflare GraphQL is probably the closest off-the-shelf API.

If you tell me whether you're trying to analyze your own site's crawler traffic or want a global dataset of AI crawler activity across many websites, I can point you toward the appropriate APIs/data providers.

Yes. If by “historical AI crawler analytics” you mean data such as GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Bytespider, etc. hitting websites over time, there are now APIs that can provide this programmatically.

Best options

• Cloudflare AI Crawl Control / GraphQL Analytics API — probably the strongest option if you control the website. It exposes historical AI-crawler requests, crawler/operator, paths, status codes, bandwidth, referrals, and time series. You can query the same underlying data shown in the dashboard. Cloudflare Docs Cloudflare Docs

developers.cloudflare.com

• Cloudflare Radar API — better if you're looking for Internet-wide aggregate AI-bot/crawler trends, rather than analytics for one of your own sites. It has API endpoints for AI-bot request distributions and time series, including dimensions such as user agent and operator. Cloudflare Docs Cloudflare Docs

developers.cloudflare.com

• Faurya API — a more specialized option for site-level AI crawl analytics. Its API currently supports custom historical date ranges up to 366 days and returns provider totals, categories, top pages, time series, and crawl events. Faurya

faurya.com

The important distinction

If you're building something like:

“Give me the last 12 months of GPTBot/ClaudeBot/Perplexity crawling across my websites, so I can analyze it in Python”

I'd use Cloudflare GraphQL if those sites are behind Cloudflare. It gives you relatively granular data rather than just aggregate industry statistics. Cloudflare explicitly documents programmatic access to AI Crawl Control analytics. Cloudflare Docs

If instead you mean:

“Give me historical data showing how much AI crawlers across the whole web are crawling, broken down by crawler/company”

then Cloudflare Radar is closer to what you're looking for. Cloudflare Docs

One caveat: Cloudflare's own-site analytics are fundamentally observations of traffic to sites using Cloudflare, whereas Radar provides aggregated Internet-level measurements. So neither should be interpreted as a complete census of all AI crawling on the Internet.

If you tell me whether you want (A) your own domains, (B) arbitrary domains, or (C) global AI-crawler trends, I can identify the APIs that best fit and compare their historical depth, granularity, crawler coverage, pricing, and API limits.

Yes. If by historical AI crawler analytics you mean “which AI bots crawled my site, when, what URLs they fetched, and how much traffic they generated”, there are several options with programmatic access.

Best options

Cloudflare is probably the strongest choice if you control the site's infrastructure. Its AI Crawl Control analytics expose crawler, operator, hostname, path, status-code, request, referral, and bandwidth dimensions, and Cloudflare explicitly documents programmatic access through its GraphQL Analytics API. developers.cloudflare.com

Cloudflare AI Crawl Control API documentation

For API-first historical querying, LogLens is interesting: its endpoint accepts start/end timestamps and returns crawler-level totals, hourly time series, verification status, and pages crawled. loglens.ai

LogLens API documentation

MentionFlow goes a step further if you're interested in the relationship between crawl → citation. It says its crawler data is available through a REST API and MCP server, with per-agent timelines and fetched-page data. mentionflow.ai

MentionFlow AI crawler analytics

One important distinction

There are actually two different datasets people call “AI crawler analytics”:

1. Your own site's historical logs

GPTBot crawled /pricing 42 times on June 10.

You need a service that observes your server/edge traffic. Cloudflare, LogLens, MentionFlow, Ahrefs Bot Analytics, etc. fit here.

2. Global historical AI-crawler activity

GPTBot activity across the web increased 35% in Q2.

That's a different problem. Cloudflare Radar has a public API for crawler time series, including dimensions such as user agent and referrer. developers.cloudflare.com

Cloudflare Radar crawler API

If you're building a programmatic dataset for AI-search/LLM crawler research, I'd lean toward Cloudflare GraphQL + your raw access logs rather than relying exclusively on a third-party dashboard. That gives you the most control over historical retention, bot classification, and downstream analysis.

Yes. If by “historical AI crawler analytics” you mean data such as GPTBot, ClaudeBot, Google-Extended, Bytespider, etc., there are now APIs that are quite suitable for programmatic analysis.

Best options

1. Cloudflare Radar API — best for global/industry-level data

Cloudflare Radar API documentation

Cloudflare has dedicated AI Bots & Crawlers endpoints, including:

• AI crawler request volume over time
• breakdown by AI bot/crawler
• crawl purpose
• user agent
• geographic and other dimensions
• historical time series
• 15-minute, hourly, daily, and weekly aggregation depending on the endpoint/date range

For example, the AI-bot time-series endpoint is specifically designed to retrieve AI-bot HTTP request volume over time. developers.cloudflare.com

This is particularly useful if you're trying to answer questions like:

“How much AI crawler activity has there been over the last 12 months, and how has GPTBot vs ClaudeBot vs other crawlers changed?”

One important distinction: Radar is aggregate Internet data, not analytics for your particular website. developers.cloudflare.com

2. Cloudflare AI Crawl Control GraphQL API — best for your own site

If you operate a site behind Cloudflare, this is probably the more interesting option.

Cloudflare AI Crawl Control GraphQL API

It exposes the same AI-crawler analytics available in the dashboard programmatically, including:

• requests
• crawler/operator
• URL/path
• response status
• bandwidth/data transfer
• referrals
• hourly aggregations
• specific verified crawler detection IDs

Cloudflare explicitly describes it as intended for building custom reports and monitoring systems. developers.cloudflare.com

So you could build a pipeline like:

Cloudflare GraphQL
       ↓
daily/hourly crawler data
       ↓
warehouse (BigQuery/Snowflake/Postgres)
       ↓
Python/dbt
       ↓
AI crawler trend analysis
       ↓
dashboard / alerts / model

The distinction matters

Cloudflare Radar also has a dedicated AI Bots & Crawlers dataset in its Data Explorer, with an API behind the queries, which is useful for discovering exactly what dimensions are available before building your own pipeline. radar.cloudflare.com

If you're specifically looking for a commercial API/data provider with multi-year historical AI-crawler data (rather than Cloudflare), I can also research the market and compare the available providers, coverage, historical depth, pricing, and API access.

Yes. If by historical AI crawler analytics you mean “give me an API where I can query past GPTBot/ClaudeBot/PerplexityBot activity for my site and analyze it programmatically,” there are a few viable options.

Best options

Cloudflare is probably the strongest choice if you're already using Cloudflare. Its AI Crawl Control analytics can be queried programmatically through the GraphQL Analytics API, including historical time-series data and verified crawler detection IDs. developers.cloudflare.com

For example, Cloudflare exposes identifiers for GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, and PerplexityBot, allowing you to query their activity separately rather than relying solely on user-agent strings. developers.cloudflare.com

Cloudflare AI Crawl Control API docs

If you don't use Cloudflare

LogLens is particularly close to what you're describing. Its API has an endpoint for LLM crawler analytics with start/end timestamps and returns per-bot counts, hourly time series, pages crawled, and verified/unverified crawler counts. loglens.ai

LogLens API documentation

There is also DemandSphere's Log Analytics API, which exposes crawl activity by bot, date range, URL pattern, status code, request counts, bytes, and crawl-budget metrics. www.demandsphere.com

One important distinction

There are really two different datasets people call "AI crawler analytics":

1. First-party crawl logs —

“GPTBot requested /pricing 37 times on August 12.”
→ Cloudflare/log-analysis products can provide this.

2. AI visibility / citation analytics —

“ChatGPT mentioned my company 142 times, and these 23 pages were cited.”
→ That's a different dataset and generally requires querying AI/search results rather than crawler logs.

If your goal is programmatic historical analysis of which AI systems are crawling which URLs, I'd start with Cloudflare GraphQL if you control the site's edge, or LogLens if you want a dedicated API.

If you tell me whether you need data for your own domains or aggregate data across many domains, I can narrow this down substantially—there's a big difference in what's actually available via API.

Yes. There are several APIs/tools, but the right one depends on what you mean by “historical AI crawler analytics”:

• Your own website’s AI crawler traffic (GPTBot, ClaudeBot, PerplexityBot, etc.)
• A market-wide dataset showing how AI crawlers behave across many sites
• AI search visibility / mentions / referrals rather than raw crawls

For programmatic analysis of your own site’s historical AI crawler activity, these are the strongest options:

developers.cloudflare.com

If you want raw historical crawl data

The most reliable source is usually your own server/CDN logs. AI crawlers identify themselves through user agents such as:

• GPTBot
• ChatGPT-User
• OAI-SearchBot
• ClaudeBot
• PerplexityBot
• Google-Extended

You can ingest logs into a warehouse (BigQuery, Snowflake, ClickHouse, etc.) and build your own analytics layer. Cloudflare’s GraphQL Analytics API is one example of a programmatic way to query this kind of data without manually processing logs. developers.cloudflare.com

If you mean “historical AI crawler activity across the whole web”

That is much harder. There is no broadly available equivalent of Google Search Console for all AI crawlers. Most vendors estimate this from:

• their own crawl networks,
• customer log data,
• panels,
• SEO datasets,
• AI search monitoring.

For that use case, tools in the AI visibility/SEO space are generally closer than bot-log APIs.

If you tell me whether you need (1) your own domain analytics, (2) competitor/domain intelligence, or (3) a global AI crawler dataset, I can narrow it down.

Yes. If by “AI crawler analytics” you mean historical data on crawlers such as GPTBot, ClaudeBot, Google-Extended, Bytespider, etc., there are a few options—but they differ substantially in what they measure.

Best fit: Cloudflare Radar API

Cloudflare Radar API — Web Crawlers is probably the closest match to what you're describing.

It provides programmatic historical crawler data, including:

• AI vs. non-AI crawler traffic
• Individual user agents/crawlers
• Bot operators
• Request volumes over time
• Referrers
• Crawl purpose
• Response status
• Industry / vertical
• Geographic dimensions
• Time-series endpoints
• Aggregated historical data

The API has dedicated endpoints such as timeseries_groups/{dimension}, with dimensions including USER_AGENT, REFERER, RESPONSE_STATUS, VERTICAL, and INDUSTRY. developers.cloudflare.com

Cloudflare's Data Explorer actually exposes the underlying API request, e.g. its AI Bots dataset can be queried programmatically with an endpoint like:

Cloudflare Radar AI Bots Data Explorer

This is particularly useful if you're trying to build a dataset like:

date | crawler | operator | requests | crawl_purpose | status
-----|---------|----------|----------|---------------|-------
2026-05-01 | GPTBot | OpenAI | ... | Training | ...
2026-05-01 | ClaudeBot | Anthropic | ... | Training | ...
2026-05-01 | Google-Extended | Google | ... | Search | ...

If you mean analytics for your own website

Cloudflare has an even more relevant product: AI Crawl Control. Its analytics can be accessed programmatically through the GraphQL Analytics API, including crawler activity, detection IDs, referrers, bandwidth/data transfer, paths, and historical metrics. developers.cloudflare.com

That's different from Radar:

Cloudflare explicitly documents GraphQL programmatic access to the same AI Crawl Control analytics shown in its dashboard. developers.cloudflare.com

Other possibility: Similarweb

Similarweb API provides historical web-intelligence data and API/batch access, with documentation stating that its API supports up to 7 years of historical data. docs.similarweb.com

However, I'd consider Similarweb more appropriate if you're interested in overall website/market traffic and competitive intelligence, rather than raw AI-crawler activity specifically.

So if your goal is something like “download 12–24 months of GPTBot/ClaudeBot/Google crawler activity and analyze it in Python,” I'd start with Cloudflare Radar. If the goal is “measure exactly how AI companies are crawling my sites, including individual URLs and bandwidth,” I'd use Cloudflare AI Crawl Control/GraphQL.

If you tell me what historical AI crawler metric you're trying to analyze (e.g. crawler volume by company, which sites are being crawled, GPTBot vs ClaudeBot, crawl frequency, or AI referral traffic), I can identify the API/data source that best fits it.

Yes. If you mean historical analytics for AI crawlers hitting your own website, there are a couple of good API options.

Best option: Cloudflare

Cloudflare AI Crawl Control has a GraphQL Analytics API specifically for this. It exposes essentially the same AI-crawler data available in the dashboard, including:

• Requests by crawler/operator — e.g. GPTBot, ClaudeBot, Bytespider
• Requests over time
• Data transfer
• HTTP status codes
• Requested paths
• AI referral traffic
• Hostnames
• Crawler detection IDs
• User-agent-based filtering

You can query it programmatically and feed the results directly into Python, a data warehouse, dashboards, etc. developers.cloudflare.com

One important caveat: historical depth depends on your Cloudflare plan. The free plan's AI Crawl Control metrics have only a 24-hour analytics window, while Enterprise/Bot Management provides configurable timeframes. developers.cloudflare.com

There is also a broader Cloudflare Radar API that provides historical, aggregate AI-bot/crawler data globally rather than just traffic to your own domain. Its API has time-series endpoints and filters for AI bots, crawler type, operator, user agent, etc. developers.cloudflare.com

If you're asking about industry-wide AI crawler analytics

Cloudflare Radar is probably closer to what you want. For example, its crawler API can retrieve historical time series and break them down by user agent, operator, client type, referral, vertical, response status, and other dimensions. developers.cloudflare.com

So the distinction is:

If you tell me whether you mean (1) analytics for your own domains or (2) a dataset/API showing AI crawler activity across the web, I can find the best currently available APIs and compare historical retention, granularity, crawler coverage, pricing, and API access.

Yes. If by historical AI crawler analytics you mean data like GPTBot/ClaudeBot/PerplexityBot requests over time, pages crawled, bandwidth, status codes, and crawler identity, there are a few options.

Best options

1. Cloudflare — strongest general-purpose option

Cloudflare AI Crawl Control API docs

Cloudflare now exposes AI Crawl Control analytics through its GraphQL Analytics API. It provides essentially the same data available in its dashboard programmatically, including:

• AI crawler requests over time
• crawler/operator (OpenAI, Anthropic, Google, etc.)
• individual crawlers such as GPTBot and ClaudeBot
• URLs/paths requested
• response status
• bandwidth/data transfer
• AI-driven referral traffic
• historical date-range queries

You can filter by verified crawler detection IDs, user agent, path, hostname, and referrer. developers.cloudflare.comloglens.aidevelopers.cloudflare.com

For example, you could build a daily dataset like:

date        crawler       requests    bytes       pages
2026-08-01  GPTBot        12,481      3.2 GB      8,921
2026-08-01  ClaudeBot      4,821      1.1 GB      3,204
2026-08-01  PerplexityBot  1,903      0.4 GB      1,442

2. Cloudflare Radar — useful for industry/global benchmarks

Cloudflare Radar Web Crawlers API

Radar has a REST API for crawler statistics, including time series and dimensions such as user agent, bot operator, client type, referrer, and AI-bot classification. It can distinguish AI_BOT from other crawler categories. developers.cloudflare.com

The important distinction is that Radar is aggregate/global data, whereas Cloudflare AI Crawl Control gives you analytics for your own Cloudflare-proxied site.

3. LogLens — simpler dedicated AI-crawler API

LogLens API documentation

LogLens specifically exposes an API for LLM/AI crawlers. Its endpoint returns per-bot time series, verification status, pages crawled, and crawler counts, with historical start/end parameters. It advertises a maximum rolling window of 8,760 hours (one year). loglens.ai

Which I'd choose

One particularly useful feature of Cloudflare is that you can query verified crawler detection IDs rather than trusting the User-Agent alone. That's important because AI crawler user agents can be spoofed. developers.cloudflare.comloglens.aidevelopers.cloudflare.com

If you're asking because you want to build something like “AI crawler analytics for any website/domain, with historical data accessible via API”, that's a slightly different problem—and I can lay out the existing APIs/data sources and what is actually possible without having access to the site's server logs.

Yes, there are tools/APIs for historical AI crawler analytics, but the market is still emerging. The right choice depends on whether you mean:

1. “Who is crawling my website with AI bots?” (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc.)
2. “How often are AI systems citing/mentioning my content?” (AI visibility / GEO analytics)
3. “What content is being collected by AI crawlers across the web?” (web-scale crawler intelligence)

For site-owner AI crawler logs, these are some options:

developers.cloudflare.com

If you want a programmable data pipeline

A typical architecture looks like:

Web server/CDN logs
        ↓
AI bot classifier
        ↓
Time-series database
        ↓
Analytics API
        ↓
Dashboards / ML models

Useful metrics to store:

• crawler name (GPTBot, ClaudeBot, Google-Extended, etc.)
• timestamp
• URL/path crawled
• HTTP status
• bytes transferred
• crawl frequency
• user agent verification status
• geographic origin
• referrer (if available)

Cloudflare specifically exposes AI crawler metrics through its GraphQL Analytics API, including crawler filters, request metrics, paths, and data transfer measurements. developers.cloudflare.comdevelopers.cloudflare.com

If you mean “AI visibility analytics” rather than crawling

Tools in the emerging GEO (Generative Engine Optimization) category track things like:

• whether ChatGPT/Claude/Gemini mention a brand
• citations/sources appearing in AI answers
• share of voice across prompts
• competitor comparisons

Those are usually based on running prompt tests or collecting AI search results, not crawler logs.

For large-scale research

There is not currently a widely available equivalent of “Google Search Console for all AI crawlers on the internet.” Most historical datasets are proprietary because crawler traffic is captured from:

• CDN providers
• server log aggregators
• SEO platforms
• AI visibility vendors

If your goal is building a research dataset/API, the closest starting points are likely:

• Cloudflare GraphQL data if you control sites on Cloudflare
• server/CDN log ingestion at scale
• a crawler classification database (for identifying AI bots)

developers.cloudflare.comdevelopers.cloudflare.com

If you mean historical AI crawler activity across many domains (not just your own sites), that is a different category and the available APIs are much more limited.

Yes. If by “AI crawler analytics” you mean which AI bots are crawling your site, when, which URLs they hit, and how that changes over time, there are now several options with programmatic access.

Best options

Cloudflare is particularly interesting: its AI Crawl Control analytics are exposed through the Cloudflare GraphQL Analytics API, so you can query the same underlying data as the dashboard and build your own analysis pipelines. developers.cloudflare.com It identifies bots such as GPTBot, ClaudeBot, PerplexityBot, OAI-SearchBot, etc. developers.cloudflare.com

For example, you could programmatically build a dataset like:

date        bot             url                  requests
2026-08-01  GPTBot          /pricing             184
2026-08-01  ClaudeBot      /docs/api             93
2026-08-01  PerplexityBot  /blog/foo             41
2026-08-02  GPTBot          /pricing             217
...

LogLens is perhaps even closer to what you're asking for if you want a dedicated API rather than building around an infrastructure provider. Its API exposes historical ranges using start/end timestamps and returns bot-level time series plus pages crawled; it supports up to 8,760 hours (one year) in a query. loglens.ai

There's also DemandSphere, which explicitly advertises REST endpoints for retrieving crawl activity by bot/date/URL/status, including daily hit counts, byte volume, response times, and crawl-budget consumption. www.demandsphere.com

One important distinction

There are really two different datasets people call “AI analytics”:

1. AI crawler telemetry — GPTBot crawled /foo 200 times.
2. AI visibility / citation analytics — ChatGPT mentioned /foo 37 times / your brand appeared in AI answers.

The APIs above are primarily #1. They don't generally tell you what ChatGPT, Claude, Gemini, etc. actually said about your content. That's a separate AI-search/GEO analytics problem.

If you're building a programmatic historical dataset for research, I'd lean toward Cloudflare GraphQL if you control the site's edge traffic, or LogLens if you want a purpose-built vendor API. The Cloudflare approach has the advantage that you're measuring actual HTTP requests at the edge rather than relying on JavaScript analytics.

If you tell me whether you're trying to analyze your own website or get historical AI-crawler data for arbitrary websites, I can narrow this down considerably—the latter is a much harder problem.

Yes. If by “AI crawler analytics” you mean historical data on bots such as GPTBot, ClaudeBot, PerplexityBot, Google-Extended, Meta AI crawlers, etc., including requests, URLs, status codes, bytes, and trends, there are now APIs that can do this.

Best fit: Cloudflare AI Crawl Control

Cloudflare has an AI Crawl Control GraphQL Analytics API specifically for this. It exposes essentially the same analytics shown in its AI Crawl Control dashboard, including:

• AI crawler / bot
• operator
• requests over time
• URLs/paths crawled
• HTTP status codes
• referrers
• data transferred
• hostname
• content format
• detection IDs

Cloudflare explicitly documents the GraphQL API for programmatic access and custom reporting. developers.cloudflare.com

urlCloudflare AI Crawl Control API documentationturn0search1

The important caveat is historical depth depends on your Cloudflare plan. Free plans currently expose only a 24-hour analytics window in AI Crawl Control, while enterprise configurations provide longer/configurable timeframes. developers.cloudflare.com

If you want data across many websites

That's a different problem. Cloudflare gives you analytics for sites you control and have connected to Cloudflare. If you're looking for something like:

“Give me the last 12 months of AI crawler activity for 100,000 websites, without owning those sites”

then you're looking for a third-party crawler/bot intelligence dataset, rather than a website analytics API.

There are also services such as DemandSphere's Log Analytics API, which exposes crawl activity and bot classifications through REST endpoints and specifically lists AI crawlers such as GPTBot and ClaudeBot. www.demandsphere.com

urlDemandSphere Log Analytics APIturn0search4

One distinction that's important

There are really three different datasets people call “AI traffic analytics”:

If you're building a programmatic historical dataset, I'd lean toward raw server/CDN logs + crawler classification if you need maximum control, or Cloudflare GraphQL if the sites are already behind Cloudflare.

If you tell me whether you want (a) your own site's historical crawler data, (b) competitor/any-site data, or (c) AI citations/mentions, I can identify the APIs that best fit and compare their historical coverage, pricing, and fields.

Yes. Cloudflare AI Crawl Control is currently the clearest option if you want historical AI-crawler analytics via an API.

urlCloudflare AI Crawl Control GraphQL APIturn0search2

It exposes the same analytics available in the dashboard through Cloudflare's GraphQL Analytics API, so you can programmatically pull data into Python, SQL/BI pipelines, notebooks, etc. developers.cloudflare.com

You can analyze things such as:

• Crawler — GPTBot, ClaudeBot, Bytespider, etc.
• Operator — OpenAI, Anthropic, Google, Meta, etc.
• Request volume over time
• Allowed/unsuccessful requests
• HTTP status codes
• URLs/paths being crawled
• Hostnames
• Bytes transferred
• AI referral traffic (paid plans)
• Date/time ranges and other filters developers.cloudflare.comdevelopers.cloudflare.com

Cloudflare also added CSV exports, but the GraphQL API is more appropriate if you want automated historical analysis rather than manually downloading reports. developers.cloudflare.comdevelopers.cloudflare.com

One important distinction

If by "historical AI crawler analytics" you mean analytics for your own websites, Cloudflare is a strong fit because it observes the requests at the edge.

If you mean a historical database of AI-crawler activity across the entire web—e.g. "How many GPTBot requests did websites globally receive each month since 2024?"—that's a different problem. Providers such as DataDome publish aggregate AI-bot intelligence, but that's generally threat-intelligence/reporting data rather than an openly queryable historical API. Recent reporting, for example, cites DataDome's measurements of billions of AI-bot requests. www.techradar.com

If you tell me whether you want (A) your own site's crawler logs, (B) competitor/any-site historical crawler data, or (C) global AI-crawler market data, I can identify the best APIs/data providers and compare their coverage, historical depth, and pricing.

Yes, but the ecosystem is still developing. If by “AI crawler analytics” you mean data about AI agents/crawlers (GPTBot, ClaudeBot, Google-Extended, PerplexityBot, etc.) visiting websites, there are a few categories of tools:

1. Web analytics platforms with AI crawler tracking

These are the closest to “historical AI crawler analytics APIs”:

• Cloudflare Radar / Cloudflare Bot Management
  • Tracks bot traffic, crawler activity, and automated requests at scale.
  • Cloudflare customers can access logs and APIs for programmatic analysis.
  • Useful metrics: bot requests, user agents, ASN/IP patterns, geography, paths crawled.

• Akamai Bot Manager
  • Enterprise bot analytics and APIs.
  • More focused on detection and mitigation, but provides historical bot telemetry.

• Fastly Bot Management
  • Edge-level bot visibility and automation analytics.

2. Log-based APIs (best for researchers)

If you control the website, the most accurate approach is usually:

Server/CDN logs → pipeline → analytics database

Capture:

• User-Agent (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc.)
• Timestamp
• URL requested
• Response code
• Bytes transferred
• IP ranges
• Crawl frequency
• Referrer
• Geographic/ASN data

Then analyze with:

• Amazon Athena
• Google BigQuery
• ClickHouse
• Snowflake

This gives you true historical analytics rather than estimates.

3. AI search visibility / citation analytics

If you mean “how often AI systems use my content in answers” rather than crawler visits, the tools are different:

• Profound — tracks brand visibility in AI answers.
• Scrunch AI — AI search visibility monitoring.
• Otterly.AI — monitors AI search rankings/citations.

These generally do not provide raw crawler logs; they monitor AI-generated search results.

4. Public datasets

For large-scale research, some groups use:

• Common Crawl datasets (web crawl archives)
• Internet measurement datasets
• AI crawler user-agent datasets

Common Crawl provides APIs and downloadable crawl data, but it is not a live AI crawler analytics service.

If your goal is building a programmatic dashboard/API for AI crawler behavior, the typical architecture is:

Cloudflare/Akamai/server logs
        ↓
User-agent classifier
        ↓
AI bot taxonomy
        ↓
Warehouse (BigQuery/ClickHouse)
        ↓
Analytics API + dashboard

There is currently no universally accepted “Google Analytics for AI crawlers” API with global historical coverage. The most reliable data comes from your own edge/server logs, while third-party tools mostly provide visibility for their customer networks or AI-search-result monitoring.

Yes. If by “historical AI crawler analytics” you mean which AI bots crawled your site, when, which URLs they requested, request volume, bandwidth, status codes, etc., there are now a few options with programmatic APIs.

Best options

Cloudflare is probably the strongest choice if you're already using Cloudflare. Its AI Crawl Control GraphQL API exposes the same analytics as the dashboard, including historical metrics, crawler/operator dimensions, paths, referrals, and data transfer. developers.cloudflare.com

urlCloudflare AI Crawl Control GraphQL APIturn0search0

LogLens is particularly interesting if you want a straightforward REST API. Its API has an endpoint specifically for LLM crawler analytics with start/end timestamps, hourly bot time series, pages crawled, and individual crawler statistics. loglens.ai

urlLogLens API documentationturn0search5

DemandSphere also advertises REST endpoints for historical crawl activity, including bot/date/URL filtering and daily hit counts, bytes, response times, and crawl-budget consumption. www.demandsphere.com

urlDemandSphere Log Analytics APIturn0search3

One important distinction: Cloudflare Radar's API can give you broader, Internet-wide AI crawler statistics, whereas Cloudflare AI Crawl Control gives you analytics for your own website/zone. Radar has crawler summary and time-series endpoints and includes an AI_BOTS data source. developers.cloudflare.com

So if you're building something like:

site → historical GPTBot/ClaudeBot/PerplexityBot activity → daily/hourly data → Python/SQL/BI analysis

I'd look at Cloudflare AI Crawl Control first, and LogLens if you want a vendor-neutral REST-style interface.

If you tell me whether you want analytics for your own sites or a database/API containing AI crawler activity across the web, I can narrow this down substantially—the available tools are quite different.

Yes, but the answer depends on what you mean by “historical AI crawler analytics.” There is not (currently) a single universal API containing all AI crawler activity across the web. Most solutions fall into a few categories:

For programmatic analysis, the most common architecture is:

1. Collect HTTP access logs (CDN, load balancer, server).
2. Identify AI crawlers by:
   • User-Agent (GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, etc.)
   • Verified crawler signatures where available.
3. Store events in a warehouse:
   • BigQuery
   • Snowflake
   • ClickHouse
   • PostgreSQL
4. Analyze:
   • crawl volume over time
   • pages most requested
   • crawl latency
   • AI provider share
   • robots.txt compliance
   • content categories attracting crawlers

If you mean global historical AI crawler behavior (e.g., “how often did GPTBot crawl the entire internet in 2024–2026?”), that data is much harder. Providers generally do not expose a complete public crawl-history API. You would typically need:

• a web-scale dataset provider,
• telemetry from a large CDN/network,
• or your own distributed measurement system.

If you mean “which AI bots have crawled my domain and when?”, Cloudflare-style log APIs are probably the closest fit. developers.cloudflare.com If you mean “market-wide AI crawler intelligence,” the tooling landscape is much less mature.

Yes. There are a few options, but they differ significantly in what they actually track.

AI crawler analytics platforms with APIs

1. Cloudflare Analytics API

• Tracks AI crawler requests if your site is behind Cloudflare.
• Includes crawlers like GPTBot, ClaudeBot, PerplexityBot, Bytespider, and others.
• Historical data available through GraphQL Analytics API.
• Good for:
  • Time series analysis
  • Bot trends
  • Per-path crawler activity
  • Building dashboards

2. Vercel Web Analytics

• Recently added AI crawler reporting.
• More focused on visualization than deep historical API access.
• API capabilities are currently more limited than Cloudflare's.

3. Plausible Analytics API + server logs
Plausible itself doesn't identify AI bots out of the box, but if you ingest server logs you can:

• classify AI crawlers
• store historical data
• query via API

This is common for self-hosted analytics.

4. ClickHouse Cloud + web logs
Many companies build their own pipeline:

NGINX
   ↓
ClickHouse
   ↓
Bot classifier
   ↓
REST/SQL API

Advantages:

• unlimited history
• arbitrary segmentation
• joins with business metrics
• fast analytics

This is what many larger SEO teams use.

Specialized AI search visibility platforms

Several newer products focus specifically on AI crawlers and AI search visibility.

Examples include:

• Profound
• Scrunch AI
• Peec AI

Most expose dashboards, and some offer enterprise APIs, but public developer APIs are often limited or available only on higher-tier plans.

DIY approach (most flexible)

Many engineering teams simply collect web server logs and classify user agents such as:

• GPTBot
• ClaudeBot
• PerplexityBot
• Google-Extended
• OAI-SearchBot
• Bytespider
• Applebot-Extended

Then expose an internal API like:

GET /api/ai-crawlers?from=2026-01-01&to=2026-08-01

{
  "gptbot": {
    "requests": 28401,
    "pages": 4129
  },
  "claudebot": {
    "requests": 19822,
    "pages": 3512
  }
}

This provides complete historical control and is often easier than relying on third-party analytics.

If you're looking for "AI SEO" analytics

If your goal is programmatic analysis of:

• which AI crawlers visit your site,
• how often they crawl,
• which pages they crawl,
• historical trends,
• and correlating crawler activity with traffic or AI citations,

then the strongest options today are:

• Cloudflare Analytics API (managed, easiest if you're already on Cloudflare),
• a ClickHouse/BigQuery-based log pipeline (most flexible),
• or an enterprise AI visibility platform like Profound or Scrunch AI if you need both crawler analytics and AI search visibility in one product.

Yes. If you're looking for programmatic access to historical AI crawler traffic (rather than just a dashboard), there are a few categories of tools, but it's still an emerging area.

AI-specific analytics

Several newer products focus specifically on LLM crawlers and AI referrals:

• Profound
• Scrunch AI
• AthenaHQ
• Peec AI
• Otterly.AI

These generally monitor:

• GPTBot
• ClaudeBot
• Google-Extended
• PerplexityBot
• Bytespider
• Meta-ExternalAgent
• Applebot-Extended
• and others

However, most of these currently emphasize dashboards and reports. Public APIs for exporting historical crawler analytics are often limited, enterprise-only, or not publicly documented.

If you need data science / programmatic analysis

The most robust approach is usually:

Server/CDN logs
        ↓
Bot classification
        ↓
Warehouse (ClickHouse, BigQuery, Snowflake)
        ↓
Python/R/SQL

For example, classify requests by known AI crawler user agents:

GPTBot
ClaudeBot
PerplexityBot
Google-Extended
CCBot
Bytespider
Applebot-Extended

Store fields like:

timestamp
crawler
URL
status
bytes
latency
referrer
country

From there you can calculate:

• crawl frequency
• page discovery over time
• crawl depth
• response quality
• 404 rates
• robots.txt compliance
• model-specific crawl trends

If you're looking for an API that already exists

The closest options are:

• Cloudflare GraphQL Analytics API (historical bot traffic)
• Cloudflare Logpush (raw historical requests)
• Enterprise observability platforms (Datadog, Splunk, Elastic) built on server logs
• Some AI SEO platforms offer export APIs, but they're generally not as mature or open as traditional analytics APIs.

If your goal is research or building a product, there isn't yet a widely adopted "Google Analytics for AI crawlers" with a comprehensive public historical API. Most teams build this layer themselves from CDN or web server logs.

If you can describe your use case—for example, building an AI SEO dashboard, tracking LLM crawler adoption across many domains, or analyzing a single site's crawl history—I can recommend the architecture or APIs that best fit that scenario.

Yes. There are a few categories of tools, but they differ significantly in what "AI crawler analytics" means.

If you mean historical visits from AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc.), these are the strongest options:

If you mean AI referral traffic (users arriving from ChatGPT, Perplexity, Claude, Gemini, etc.), newer SEO platforms have started exposing this:

• Ahrefs
• Semrush
• Similarweb
• Profound
• Goodie AI Analytics
• Peec AI

Several of these provide APIs, though coverage varies and some APIs are limited to enterprise plans.

If you specifically want historical AI crawler activity for LLM visibility analysis, there are newer specialized platforms:

• Profound – tracks AI search visibility and crawler activity, with enterprise APIs.
• Scrunch AI – AI search optimization and crawler monitoring.
• Otterly.AI – monitors AI search presence and mentions.
• Peec AI – tracks AI search performance and referrals.

These are focused more on AI search optimization than traditional web analytics.

If you already have server logs

The most powerful approach is often to build your own historical analytics pipeline:

NGINX/Apache Logs
        ↓
Vector / Fluent Bit
        ↓
ClickHouse
        ↓
API
        ↓
Python / Pandas / DuckDB

With this approach you can query things like:

• GPTBot requests by day
• ClaudeBot crawl frequency
• PerplexityBot hit rates
• robots.txt fetches
• crawl depth over time
• AI crawler trends by URL
• correlations with indexing or AI referral traffic

This gives you complete historical access instead of depending on what a third-party dashboard exposes.

If you're looking for an API specifically

If your goal is to programmatically analyze AI crawler history, I'd rank the options like this:

1. Cloudflare GraphQL Analytics API — best managed solution if you use Cloudflare.
2. Raw web logs + ClickHouse/OpenSearch — most flexible and unlimited historical analysis.
3. Enterprise AI SEO platforms (Profound, Scrunch AI) — best for LLM visibility rather than raw crawl data.
4. Matomo Reporting API — good open-source alternative.

If you're building a product around this, let me know whether you're after:

• raw crawler hits,
• AI referral traffic,
• AI search visibility (brand mentions in ChatGPT/Perplexity),
• or indexing/crawl monitoring,

since each has a different ecosystem of APIs.

Yes. There are a few categories of tools, depending on what you mean by "AI crawler analytics."

If you mean historical traffic from AI bots (ChatGPT, Claude, Perplexity, Gemini, etc.), there are several options with APIs:

If you mean AI search visibility and citations (how often ChatGPT, Perplexity, Gemini, etc. mention your brand), newer GEO (Generative Engine Optimization) platforms offer APIs or enterprise exports:

• Profound
• Goodie AI
• Peec AI
• Scrunch AI

These typically expose:

• Historical prompt monitoring
• Brand mention frequency
• Competitor comparisons
• Citation/source tracking
• Trend analysis

API availability varies by plan, with some offering REST APIs and others focusing on exports or enterprise integrations.

If you mean crawler logs themselves (e.g. GPTBot, ClaudeBot, PerplexityBot, Bytespider), the best source is usually your infrastructure:

• Cloudflare GraphQL Analytics API
• CDN log exports
• Web server logs (NGINX, Apache)
• Data warehouses (BigQuery, Snowflake, ClickHouse)

You can then identify user agents such as:

• GPTBot
• ClaudeBot
• PerplexityBot
• Google-Extended
• Amazonbot
• Bytespider

and build historical time series programmatically.

If your goal is programmatic analysis

Cloudflare's GraphQL Analytics API is probably the strongest option because you can automate queries like:

• Daily crawl volume by AI crawler
• Crawl frequency over time
• URLs most frequently crawled
• Response codes
• Bandwidth consumed
• Geographic distribution

If your goal is marketing/SEO analytics rather than server logs, platforms like Profound and Peec AI are more appropriate because they analyze AI search visibility rather than raw crawler traffic.

If you can clarify which of these you're after—

1. raw crawler requests,
2. AI referral traffic,
3. AI search/citation visibility (GEO),
4. or LLM training crawlers specifically—

I can recommend the APIs that best fit that use case.