ChatGPT answers, unedited

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.