ChatGPT answers, unedited

If your goal is specifically mapping redirect chains and visually understanding loops across very large domains, I’d shortlist these:

My picks

1. Oncrawl — best match if visualization is the priority

Oncrawl explicitly provides a graphical representation of redirect chains and loops, including chains that feed into a loop. Its reports can show all URLs involved and the internal links pointing into the chain. Oncrawl Help Oncrawl - Technical SEO Data

That's particularly useful for something like:

/old-product
     ↓ 301
/legacy-product
     ↓ 302
/product
     ↓ 301
/product/          ← loop
     ↓
/product

2. Sitebulb — best balance of visualization + crawling

Sitebulb has dedicated redirect-chain reporting plus interactive crawl maps. Its current Cloud product supports audits up to 10 million URLs, while Desktop supports up to 500,000 URLs per audit. Sitebulb Sitebulb

I'd choose this if you want something that SEO/engineering teams can actually explore visually rather than primarily exporting CSVs.

3. Screaming Frog — best technical workhorse

Screaming Frog is probably the safest choice if you need very granular control. Its Redirect Chains report follows redirects through multiple hops, identifies loops, reports hop counts, and can be exported. Screaming Frog Screaming Frog

Its loop filter specifically identifies cases where a redirect eventually points back to a URL already encountered in the chain. Screaming Frog

The limitation for your exact use case is that it's more of a crawler/reporting application than a true interactive redirect graph explorer.

If you're dealing with millions of URLs

I'd narrow it to:

• 10K–500K URLs: Sitebulb or Screaming Frog
• 500K–10M: Sitebulb Cloud
• Millions/tens of millions + enterprise SEO data: Oncrawl or Botify
• You have a huge redirect-rule file and want to model the rules themselves as a directed graph: Redirections

Botify is particularly interesting for enterprise environments because its crawler has a dedicated Redirects/HTTP Codes analysis that identifies chains and loops and lets you drill into the URLs involved. Botify Knowledge Base

One important distinction

There are actually two different things you might mean by "map redirect chains":

1. Crawl-based mapping — start with millions of URLs, request them, follow every 301/302, and construct the actual redirect graph.
2. Rule-based mapping — ingest Apache/Nginx/CDN/application redirect rules and construct the theoretical graph without crawling every URL.

For #1, I'd use Oncrawl/Sitebulb/Screaming Frog.

For #2, a graph-oriented tool such as Redirections is much closer to what you're describing: it explicitly models redirect rules as a directed graph and detects multi-hop paths and circular loops. Redirections

If you're trying to analyze something like a 10M+ URL ecommerce domain or a migration with hundreds of thousands of redirects, I can also compare these specifically on crawl architecture, graph visualization, API/export capabilities, loop detection, and cost.

Sitebulb has dedicated redirect-chain reporting plus interactive crawl maps. Its current Cloud product supports audits up to 10 million URLs, while Desktop supports up to 500,000 URLs per audit. Sitebulb Sitebulb

I'd choose this if you want something that SEO/engineering teams can actually explore visually rather than primarily exporting CSVs.

3. Screaming Frog — best technical workhorse

Screaming Frog is probably the safest choice if you need very granular control. Its Redirect Chains report follows redirects through multiple hops, identifies loops, reports hop counts, and can be exported. screamingfrog.co.uk screamingfrog.co.uk

Its loop filter specifically identifies cases where a redirect eventually points back to a URL already encountered in the chain.

The limitation for your exact use case is that it's more of a crawler/reporting application than a true interactive redirect graph explorer.

If you're dealing with millions of URLs

I'd narrow it to:

If your goal is large-domain redirect-chain analysis with an actual visual representation of the relationships, I’d shortlist these:

My picks

1. Sitebulb — best if visualization is the priority

Sitebulb

Sitebulb specifically flags internal URLs that participate in chained redirect loops and lets you inspect the complete redirect chain. sitebulb.com

Its bigger advantage is the interactive graphing: Crawl Map, Tree and Radial visualizations let you explore relationships between URLs rather than just staring at CSV rows. support.sitebulb.com

2. Screaming Frog — best for rigorous redirect auditing

Screaming Frog SEO Spider

This is probably the safest choice if the primary requirement is "find every redirect chain and every loop." Its Redirect Chains report maps the hops, identifies the source, and explicitly flags loops. www.screamingfrog.co.uk

It also works in List mode, which is useful if you have a massive URL inventory from a migration rather than wanting to crawl the entire site from scratch. www.screamingfrog.co.uk

3. JetOctopus — best for very large enterprise domains

JetOctopus

JetOctopus stores the complete redirect chain and exposes both the chain itself and its length in its data tables. jetoctopus.com

Its particularly interesting differentiator is combining crawler data with server-log data, so you can discover redirects that Googlebot or users are actually hitting even when those URLs aren't discoverable through your current internal links. jetoctopus.com

If you're dealing with millions of URLs

I'd actually use a two-layer approach:

JetOctopus → Screaming Frog/Sitebulb → graph database

1. Use crawler + log data to collect URL A → URL B → URL C.
2. Normalize URLs and status codes.
3. Treat every URL as a node and every redirect as a directed edge.
4. Run cycle detection to find A → B → C → A.
5. Calculate chain length, number of inbound URLs, and affected organic URLs.
6. Visualize only the problematic subgraphs rather than trying to render the entire domain.

That last point matters: a graph of a 10-million-URL domain is essentially useless as one giant visualization. Visualizing the redirect subgraphs/strongly connected components is much more useful.

Bottom line

• Want the nicest visual investigation experience: Sitebulb
• Want the strongest traditional redirect auditing: Screaming Frog
• Want enterprise-scale crawling + logs: JetOctopus
• Want to visualize complex redirect networks programmatically: build/export the redirect graph and use a graph database/visualizer.

If you tell me roughly how big the domain is (100K, 1M, 10M+ URLs) and whether you need HTTP redirects only or also canonicals/JS/meta redirects, I can narrow this to the best 2–3 options.

For large domains, you generally want a crawler or redirect-rule analyzer that can build a redirect graph (URL nodes + redirect edges), detect cycles/loops, and export the paths. The best options depend on whether you are auditing a live site, a migration, or redirect configuration files.

If you specifically need a visual graph of loops

Look for tools that expose a graph view or export data into graph software:

1. Screaming Frog → export redirect chains → visualize
   • Crawl the domain.
   • Export redirect chain reports.
   • Load CSV into tools like Gephi, Neo4j, or Graphviz to see cycles and clusters. Screaming Frog specifically supports redirect-chain exports and loop identification. www.screamingfrog.co.uk

2. Redirect-rule graph analyzers
   • Best when you have thousands of Apache/Nginx/Cloudflare rules.
   • They analyze the rule graph rather than crawling every URL. www.redirections.app

3. Custom pipeline
   • Crawl URLs → store edges:

     /old-page  → /legacy-page → /new-page
     /a → /b → /a  (loop)

• Run graph algorithms:
  • cycle detection (Tarjan/Kosaraju)
  • longest redirect paths
  • redirect hubs
  • orphan redirects

My typical picks by scenario

• SEO migration (10k–5M URLs): Screaming Frog + spreadsheet/graph export
• Millions of URLs: Botify or Oncrawl
• Redirect-rule cleanup before launch: Redirections.app or a custom graph analyzer
• Need a quick bulk scan: HEADMasterSEO headmasterseo.com
• Need developer-level visualization: export redirect edges to Neo4j/Gephi

For a large domain migration, I would prioritize a tool that can ingest your existing redirect map/rules (not just crawl the live site), because many redirect loops exist in rules that are never reached during a normal crawl.

If your goal is large-domain technical SEO auditing, there are three tools I’d put at the top:

1. Oncrawl — best match for your exact use case

Oncrawl is probably the closest fit if you specifically want redirect topology rather than merely a list of redirects.

It automatically identifies chains and loops during crawling and provides:

• redirect-chain depth
• redirect loops
• URLs involved in each chain
• final targets
• incoming links to redirected URLs
• tree visualizations of the entire redirect chain
• redirect clusters, which can be useful when many URLs converge or participate in the same problem. www.oncrawl.com

Its URL Details view can graphically show a chain and chains feeding into a loop, which is particularly useful when a large site has complicated migration/rewrite-rule interactions. help.oncrawl.com

I'd choose Oncrawl if you're auditing millions of URLs or multiple enterprise domains.

2. Screaming Frog — best technical workhorse

Screaming Frog SEO Spider is excellent if you want to crawl a domain, identify every redirect path, and export the underlying data.

Its Redirect Chains report follows multiple hops to the destination and explicitly identifies loops. You can export the chains, including hop counts and whether a loop exists. www.screamingfrog.co.uk

For example:

/a
 ↓ 301
/b
 ↓ 302
/c
 ↓ 301
/d
 ↓ 301
/b   ← LOOP

Screaming Frog is particularly strong if you want to take the resulting data into SQL, Python, Excel, BigQuery, or your own graph visualization.

I'd choose it if you're an SEO/technical engineer who wants maximum control over the crawl data.

3. Sitebulb — best visual UX

Sitebulb is arguably the nicest option for visually exploring complex site structures.

It detects chained redirect loops and lets you drill into URL Details to see the redirect chain. sitebulb.com

Its broader visualization system provides interactive crawl maps, trees, and radial graphs, which are useful for understanding how redirect problems relate to the rest of the site's architecture. support.sitebulb.comsitebulb.com

Sitebulb Cloud is particularly interesting for large domains because crawling is done in the cloud rather than being constrained by your local machine. support.sitebulb.comsitebulb.com

My recommendation

If I were building a workflow specifically for "show me every redirect chain/loop across a huge domain and let me understand the graph", I'd rank them:

Oncrawl → Sitebulb → Screaming Frog

But there's an important distinction:

• Oncrawl: best redirect intelligence + enterprise-scale analysis
• Sitebulb: best human-friendly visualization
• Screaming Frog: best raw crawl/control/export capability

If you're dealing with a 10M+ URL domain, I'd also consider building a small redirect graph pipeline around Screaming Frog/Oncrawl exports: represent each URL as a node and each Location: redirect as a directed edge, then run graph algorithms to identify cycles, strongly connected components, long chains, convergence points, and redirect hubs. That's much more powerful than the standard SEO reports.

If your priority is mapping redirect chains and visually understanding loops across very large domains, I’d shortlist these:

My picks

1. Sitebulb — best if visualization is the main requirement.
Sitebulb explicitly detects chained redirect loops and lets you inspect the complete redirect chain from URL details. Its visualization system provides interactive graph/map/tree/radial views, and its Cloud crawler is designed for sites from thousands to millions of URLs. sitebulb.com

Sitebulb

2. Screaming Frog — best all-around technical crawler.
Its Redirect Chains report follows multiple hops, identifies loops, records hop counts, and can be run in Spider or List mode. For a migration or a supplied list of hundreds of thousands of old URLs, List mode is particularly useful. www.screamingfrog.co.uk

Screaming Frog SEO Spider

3. JetOctopus — best for truly large/enterprise domains.
JetOctopus has a dedicated Redirect Chains report showing the complete chain and hop count, plus redirect-loop detection. Its current platform is explicitly aimed at large sites and advertises crawling at 1M+ pages/day. Its log analyzer is particularly valuable because it can reveal redirects that crawlers don't discover from current internal links. jetoctopus.com

JetOctopus

4. Redirections — interesting if you care about the redirect graph itself.
Its chain detector models redirects as a directed graph, traverses the graph for multi-hop paths, and explicitly identifies cycles/circular dependencies. That's closer to what you're describing than a conventional SEO crawler, particularly if you have access to the redirect rules rather than just URLs. www.redirections.appsupport.sitebulb.com

Redirections

What I'd use for a huge migration

For something like 500k–10M URLs, I'd lean:

JetOctopus + Sitebulb

• JetOctopus: find the problem population at scale, combine crawl data with server logs, and identify redirects Googlebot is actually encountering.
• Sitebulb: investigate the architecture visually and communicate the problematic chains/loops to developers.
• Screaming Frog: use when you need extremely granular control over a specific URL set or migration dataset.

One important distinction: a normal crawl graph isn't necessarily a redirect graph. If you specifically want something that renders:

A → B → C → D

and then makes a cycle obvious:

A → B → C → A

I'd favor Sitebulb for visual exploration and Redirections for graph-oriented redirect-rule analysis; for millions of URLs, JetOctopus is the stronger scale-oriented option. support.sitebulb.com

If you tell me roughly how many URLs (100k / 1M / 10M+) and whether you have server logs, I can narrow this to the best 2–3 options and compare their actual workflow/cost.

If you mean large-domain crawling where you want to see redirect chains as a graph and identify cycles/loops, I’d shortlist these:

1. Screaming Frog — my first choice

Screaming Frog SEO Spider

For a big domain, this is probably the safest starting point. Its Redirect Chains report maps every hop, gives hop counts, identifies the source, and explicitly flags loops. You can also export the chains for further graph analysis. www.screamingfrog.co.ukwww.screamingfrog.co.uk

It is particularly useful if you want to answer:

/old-page → /category → /new-page → /final

and find things like:

/a → /b → /c → /a ← loop

It can crawl an entire site or process a supplied URL list, and its list mode can follow redirects through to the final destination. www.screamingfrog.co.ukwww.screamingfrog.co.uk

Why I'd pick it: mature crawler, excellent exports, very good for millions of URLs when configured appropriately, and easy to hand the resulting CSV to engineers.

2. Sitebulb — best if visualization is the priority

Sitebulb

Sitebulb has a dedicated “chained redirect loop” issue that identifies cycles such as:

A → B → C → A

and lets you drill into the individual URL's Redirect Chain to see all the hops. sitebulb.comjetoctopus.comhelp.oncrawl.com

It also provides a dedicated redirect report and export of redirect chains. support.sitebulb.com

I'd choose Sitebulb over Screaming Frog if the goal is less “give me a giant CSV” and more “help me visually investigate what is happening in this site.”

3. JetOctopus — for genuinely huge domains

JetOctopus

If you're talking millions/tens of millions of URLs, JetOctopus becomes particularly interesting. Its redirect auditing covers chain depth and redirect behavior, and its log-analysis capabilities let you see redirects that search-engine bots are actually requesting—even when those URLs aren't present in your current site architecture. jetoctopus.com

That's a major distinction:

Crawler:
“What redirects exist among URLs I can discover?”

Crawler + logs:
“What redirects are Googlebot/Bingbot/users actually hitting?”

For a massive migration or legacy redirect mess, the latter can be much more valuable.

4. Oncrawl — enterprise/data-heavy option

Oncrawl

Oncrawl specifically supports identifying redirect chains and loops and can follow substantially deeper chains during crawling. Its strength is combining the redirect data with broader crawl and log datasets. help.oncrawl.com

I'd look here if the redirect problem is part of a broader enterprise technical-SEO / log-analysis project rather than a one-off audit.

One important distinction

If by “visualize” you literally mean:

“Give me a graph where every URL is a node and every Location: redirect is a directed edge, then highlight strongly connected components/cycles.”

then I'd actually consider exporting the redirect data from Screaming Frog/JetOctopus and putting it into a graph tool rather than relying entirely on an SEO crawler's UI.

The underlying model is a directed graph:

A ──301──> B ──301──> C
                     │
                     └──301──> D

X ──301──> Y ──302──> Z
             ▲         │
             └──301────┘

The second component is a cycle. Technically, you can detect all such problems using strongly connected components (SCCs), which is much more powerful than simply looking for A→B→A loops.

My recommendation

For your use case I'd rank them:

Screaming Frog → Sitebulb → JetOctopus → Oncrawl

• Up to a few million URLs: Screaming Frog
• You want the nicest investigation/visual workflow: Sitebulb
• Huge domain + server logs: JetOctopus
• Enterprise SEO/data platform: Oncrawl

If you're dealing with something like 10M+ URLs and want an actual interactive redirect graph, I can also recommend a more specialized stack (crawler → redirect edge list → Graphviz/Gephi/Neo4j) that will visualize all chains and automatically collapse/highlight loops.

If your goal is to crawl an entire website, discover redirect chains, identify redirect loops, and visualize them, there are several tools that excel at different scales.

Best desktop crawler: Screaming Frog

For most technical SEO work, Screaming Frog is the standard.

It can:

• Crawl hundreds of thousands to millions of URLs
• Report every redirect (301, 302, 307, 308)
• Detect redirect chains
• Detect redirect loops
• Export all redirect paths
• Visualize crawl structure
• Integrate with XML sitemaps, GA, GSC, and log files

Its "Reports → Redirect Chains" report is especially useful for finding long redirect sequences.

Best visualization: Sitebulb

If your priority is understanding redirect architecture visually rather than just exporting CSVs, Sitebulb stands out.

It provides:

• Interactive crawl maps
• Visual redirect chains
• Highlighted redirect loops
• Orphaned pages
• Internal linking graphs

Many SEO professionals find it easier to interpret than raw spreadsheets.

Best enterprise tools

For very large domains (millions of URLs):

• Lumar
• Botify
• Oncrawl
• JetOctopus

These tools can:

• Crawl continuously
• Merge crawl data with server logs
• Show redirect behavior over time
• Detect recurring redirect issues
• Handle JavaScript rendering
• Produce executive dashboards

Best for graph analysis: Neo4j

If you're auditing a migration or diagnosing complex redirect logic, a graph database is extremely powerful.

Example graph:

A
 \
  → B
      \
       → C
           \
            → D

E
 \
  → F
      ↘
        G
      ↗
H

Loops become immediately obvious:

A → B → C → D
      ↑     ↓
      └─────┘

With Neo4j you can run queries like:

• Find every cycle
• Find chains longer than 3 redirects
• Find URLs with multiple redirect sources
• Find orphaned redirect targets
• Compute shortest redirect paths

Best visualization: Gephi

A common workflow is:

1. Crawl the site with Screaming Frog.
2. Export redirect relationships (Source → Destination).
3. Import the data into Gephi.
4. Apply layouts such as ForceAtlas2 or OpenOrd.

The result is an interactive network where:

• redirect hubs stand out,
• loops appear as circular clusters,
• long chains are immediately visible,
• isolated redirect islands are easy to spot.

This approach works well even for hundreds of thousands of redirect edges.

Best open-source workflow

If you're comfortable with scripting:

Crawler
   ↓
CSV

Source URL
Destination URL
Status

   ↓

NetworkX (Python)

   ↓

Detect:
- cycles
- chains
- strongly connected components

   ↓

Export

Gephi
Neo4j
Cytoscape

Using algorithms such as:

• Strongly Connected Components (Tarjan or Kosaraju)
• Cycle detection
• PageRank
• Shortest path
• Weakly Connected Components

lets you uncover redirect patterns that typical SEO crawlers don't surface.

Recommendation by use case

• Most SEO audits: Screaming Frog.
• Best built-in visualizations: Sitebulb.
• Enterprise websites (millions of URLs): Botify, Lumar, or Oncrawl.
• Deep redirect-network analysis and custom visualizations: Export crawl data into Gephi or Neo4j for graph-based analysis.

For very large migrations or legacy sites with complex redirect logic, a combination of Screaming Frog (for crawling) and Gephi or Neo4j (for visualization and graph analysis) is often the most effective approach.

If your main requirement is mapping redirect chains and visualizing loops across very large domains, I’d shortlist these:

My picks

1. Sitebulb — best if visualization is the priority.
Sitebulb has dedicated detection for chained redirect loops and lets you inspect the complete redirect chain for an individual URL. Its interactive Crawl Maps are particularly useful for understanding complicated site structures visually. sitebulb.com

2. Screaming Frog — best overall technical redirect debugger.
Its Redirect Chains report maps the hops, identifies the source and final destination, and explicitly flags whether a chain contains a loop. You can export the complete chains, which is useful if you want to build your own graph visualization afterward. www.screamingfrog.co.uk

3. Lumar — best for enterprise/cloud-scale crawling.
Lumar exposes redirectChain, redirectCount, and isRedirectLoop in its crawl data/API, making it particularly interesting if you want to feed redirect relationships into your own graph database or visualization system. api-docs.lumar.io

4. Botify — best when redirect analysis is part of a broader enterprise SEO crawl.
Its SiteCrawler reports identify URLs in redirect chains, the number of hops, ultimate destinations, and loops, and let you investigate the URLs through its URL Explorer. support.botify.com

If you mean a literal graph of the redirects

That's a slightly different requirement. Most SEO crawlers give you a chain table rather than a graph where you can visually see:

A → B → C → D

and especially:

A → B → C → A ↺

For that use case, I'd use Screaming Frog or Lumar to collect the redirect edges, then visualize them as a directed graph in something like Gephi, Neo4j, or a custom D3-based interface. Lumar is particularly attractive for this because its API exposes the chain and loop fields directly. api-docs.lumar.io

For your specific wording—“across large domains” + “visualize redirect loops”—I'd start with Sitebulb if humans need to investigate the maps, or Lumar if you're building an automated/enterprise redirect intelligence system.

If your goal is large-domain redirect-chain analysis + actual visualization of loops, I’d shortlist these:

My picks

1. Sitebulb — best if visualization is the priority.
Sitebulb explicitly identifies chained redirect loops and lets you drill into the complete redirect chain. Its interactive Crawl Maps are particularly useful for understanding large, complicated site structures. The Cloud version currently advertises audits of up to 10 million URLs, which makes it the strongest fit if you're talking about genuinely enterprise-scale domains. sitebulb.com

2. Screaming Frog — best technical/SEO workhorse.
Its Redirect Chains report maps every hop, reports hop counts, identifies the source, and flags loops. You can also run it in List mode against a huge URL inventory rather than crawling the whole site. sitebulb.comwww.screamingfrog.co.uksitebulb.com

3. Redirections.app — interesting if you have access to the redirect rules themselves.
Rather than merely crawling URLs, it builds a directed graph of redirect rules, traverses it for multi-hop chains, and detects circular dependencies. That's particularly useful when the problem is buried in Apache/Nginx/application redirect logic rather than just discovered URLs. www.redirections.app

One important distinction

There are really two different problems that tools call "redirect mapping":

• Crawl-based analysis:

URL A → 301 → URL B → 301 → URL C → 200
You want to discover what actually happens when requests hit the site. Screaming Frog / Sitebulb are excellent here.

• Redirect-rule graph analysis:

Rule A → Rule B → Rule C → Rule A
You want to analyze thousands/millions of redirect rules and expose circular dependencies before they cause problems. Redirections.app is more directly suited to this.

For a large enterprise domain, I'd probably use Sitebulb Cloud + Screaming Frog: Sitebulb for the visual/architectural picture and Screaming Frog for detailed URL-level exports and QA. Sitebulb specifically says its Cloud product removes machine/crawl-credit limits and supports up to 10M URLs per audit. sitebulb.comsitebulb.com

If by "map" you mean a literal interactive node-and-edge graph where every URL is a node and redirect loops are highlighted in red, that's a narrower requirement. I can also identify the tools that do that specifically and compare their graph capabilities.

If your goal is large-domain redirect mapping + visualizing chains/loops, I’d shortlist these:

My picks

1. Screaming Frog — best overall for redirect auditing

It specifically has Redirect Chains and Redirect & Canonical Chains reports that show the complete hop sequence, hop count, chain type, source, and redirect loops. It can also follow redirects in List mode, which is useful for migration inventories. www.screamingfrog.co.uk

This is probably where I'd start if you have, say, 100K–1M URLs and want to export the underlying redirect relationships for further analysis.

2. Sitebulb — best if visualization is the priority

Sitebulb's Crawl Maps are genuinely visual rather than just tables: they represent the site's URL relationships as interactive maps. Its Cloud product supports audits up to 10 million URLs, while its crawler is designed for sites from thousands through millions of URLs. sitebulb.com

I'd choose this if you need to show developers/stakeholders what the redirect architecture looks like, not merely identify bad redirects.

3. JetOctopus — best for very large/enterprise domains

For extremely large sites or multiple domains, JetOctopus is more compelling. Its current enterprise offering advertises crawls of 10M, 50M, 100M+ pages, plus log analysis. That latter capability matters because a crawler only sees redirects it discovers; server/bot logs can reveal old URLs that Googlebot is still requesting. jetoctopus.com

One important distinction

There are really two different problems here:

A. "What happens when I request these URLs?"

You want:

A → 301 → B → 302 → C → 301 → D

with detection of:

A → B → C → A ← loop

Screaming Frog is excellent for this.

B. "What does the redirect system across my entire domain look like?"

You want something closer to a directed graph:

                 ┌──→ /product-x
/old-category ───┤
                 └──→ /category
                       │
                       ↓
                    /new-category
                       │
                       ↓
                      /200

For that, Sitebulb's visual maps or a purpose-built redirect-rule graph such as Redirections are more interesting. Redirections explicitly models redirects as a directed graph and detects multi-hop paths and circular dependencies. www.redirections.app

If this is a migration / massive redirect cleanup

I'd use Screaming Frog + a graph analysis layer rather than relying on a generic visual crawler alone.

That gives you:

• all source URLs
• every redirect hop
• hop count
• 301 vs 302 vs 307/308
• loops/cycles
• chains converging on the same destination
• redirect → 404/5xx
• HTTP ↔ HTTPS problems
• www/non-www normalization problems
• ability to identify the largest/highest-impact redirect clusters

If you tell me roughly how large the domain is (100K, 1M, 10M, 100M+ URLs) and whether you have access to server/CDN logs, I can narrow this to the best 2–3 options and explain how I'd build the redirect graph.

If your main requirement is mapping redirect chains and visually exposing redirect loops across very large domains, I’d shortlist these:

My top pick: Oncrawl

Oncrawl is probably the closest match to exactly what you're describing.

It explicitly detects redirect chains and loops, shows the URLs involved, and provides a graphical/tree visualization of the redirect path. You can drill from a domain-wide report down to an individual URL and see the sequence of redirects. www.oncrawl.com

More importantly for your "large domains" requirement, Oncrawl is designed to crawl millions of URLs and supports large-scale projects, segmentation, recurring crawls, and log analysis. www.oncrawl.com

Where I'd use it:
A → B → C → D mappings, A → B → A loops, thousands/millions of redirects, migrations, multiple subdomains, and wanting to quantify the problem rather than inspect URLs one at a time.

JetOctopus

JetOctopus is another strong choice if you're dealing with genuinely enormous sites.

Its Redirect Chains report stores the complete chain, lets you see chain length, and is integrated with its crawler and log-analysis capabilities. jetoctopus.com Its current enterprise offering specifically targets very large sites and advertises crawling tens or hundreds of millions of pages. jetoctopus.com

I'd favor JetOctopus if you also want to answer:

"Which redirects are actually being hit by Googlebot/users in production?"

Its combination of crawl + server-log data is particularly useful for that. jetoctopus.com

Screaming Frog

Screaming Frog SEO Spider is excellent for hands-on investigation, especially if you want to crawl a specific domain, redirect list, sitemap, or migration dataset and then export the underlying URL relationships.

I'd choose it over the enterprise platforms when the job is more like:

"Give me the redirect graph for this migration and let me manipulate/export the data."

For truly huge domains, though, I'd lean toward Oncrawl or JetOctopus.

Sitebulb

Sitebulb is worth considering if visualization is more important than raw scale. Its strength is turning technical SEO crawl data into visual reports, making it easier to understand relationships and problems without building your own graphing layer.

If you literally want a redirect graph

There's an important distinction here.

Most SEO crawlers give you a visual representation of an individual chain, e.g.:

/product-old
     ↓ 301
/product-v2
     ↓ 302
/products
     ↓ 301
/category/products

But if what you really want is a domain-wide directed graph like:

              ┌──────→ /new-a
              │
/old-a ───────┤
              │
              └──────→ /new-b ───→ /canonical

/old-x ──→ /old-y ──→ /old-x    ← LOOP

then Oncrawl is the first product I'd evaluate, but I'd also consider building a graph from crawler output using something like Neo4j, Gephi, or Graphviz. That gives you substantially more powerful analysis—strongly connected components, cycles, redirect hubs, chains by depth, cross-domain redirects, etc.

For a large migration / enterprise domain, my ranking would be:

1. Oncrawl — best overall fit
2. JetOctopus — best if logs + huge scale matter
3. Screaming Frog — best investigation/export workflow
4. Sitebulb — best visual SEO reporting

If you tell me roughly whether you're dealing with 100K, 1M, 10M, or 100M+ URLs, I can narrow this down considerably and include pricing, crawl limits, API/export capabilities, and whether each can produce an actual domain-wide redirect graph rather than just chain reports.

If your goal is to crawl an entire website, discover redirect chains, identify redirect loops, and visualize them, there are several tools that excel at different scales.

Best desktop crawler: Screaming Frog

For most technical SEO work, Screaming Frog is the standard.

It can:

• Crawl hundreds of thousands to millions of URLs
• Report every redirect (301, 302, 307, 308)
• Detect redirect chains
• Detect redirect loops
• Export all redirect paths
• Visualize crawl structure
• Integrate with XML sitemaps, GA, GSC, and log files

Its "Reports → Redirect Chains" report is especially useful for finding long redirect sequences.

Best visualization: Sitebulb

If your priority is understanding redirect architecture visually rather than just exporting CSVs, Sitebulb stands out.

It provides:

• Interactive crawl maps
• Visual redirect chains
• Highlighted redirect loops
• Orphaned pages
• Internal linking graphs

Many SEO professionals find it easier to interpret than raw spreadsheets.

Best enterprise tools

For very large domains (millions of URLs):

• Lumar
• Botify
• Oncrawl
• JetOctopus

These tools can:

• Crawl continuously
• Merge crawl data with server logs
• Show redirect behavior over time
• Detect recurring redirect issues
• Handle JavaScript rendering
• Produce executive dashboards

Best for graph analysis: Neo4j

If you're auditing a migration or diagnosing complex redirect logic, a graph database is extremely powerful.

Example graph:

A
 \
  → B
      \
       → C
           \
            → D

E
 \
  → F
      ↘
        G
      ↗
H

Loops become immediately obvious:

A → B → C → D
      ↑     ↓
      └─────┘

With Neo4j you can run queries like:

• Find every cycle
• Find chains longer than 3 redirects
• Find URLs with multiple redirect sources
• Find orphaned redirect targets
• Compute shortest redirect paths

Best visualization: Gephi

A common workflow is:

1. Crawl the site with Screaming Frog.
2. Export redirect relationships (Source → Destination).
3. Import the data into Gephi.
4. Apply layouts such as ForceAtlas2 or OpenOrd.

The result is an interactive network where:

• redirect hubs stand out,
• loops appear as circular clusters,
• long chains are immediately visible,
• isolated redirect islands are easy to spot.

This approach works well even for hundreds of thousands of redirect edges.

Best open-source workflow

If you're comfortable with scripting:

Crawler
   ↓
CSV

Source URL
Destination URL
Status

   ↓

NetworkX (Python)

   ↓

Detect:
- cycles
- chains
- strongly connected components

   ↓

Export

Gephi
Neo4j
Cytoscape

Using algorithms such as:

• Strongly Connected Components (Tarjan or Kosaraju)
• Cycle detection
• PageRank
• Shortest path
• Weakly Connected Components

lets you uncover redirect patterns that typical SEO crawlers don't surface.

Recommendation by use case

• Most SEO audits: Screaming Frog.
• Best built-in visualizations: Sitebulb.
• Enterprise websites (millions of URLs): Botify, Lumar, or Oncrawl.
• Deep redirect-network analysis and custom visualizations: Export crawl data into Gephi or Neo4j for graph-based analysis.

For very large migrations or legacy sites with complex redirect logic, a combination of Screaming Frog (for crawling) and Gephi or Neo4j (for visualization and graph analysis) is often the most effective approach.

If your goal is to crawl an entire website, discover redirect chains, identify redirect loops, and visualize them, there are several tools that excel at different scales.

Best desktop crawler: Screaming Frog

For most technical SEO work, Screaming Frog is the standard.

It can:

• Crawl hundreds of thousands to millions of URLs
• Report every redirect (301, 302, 307, 308)
• Detect redirect chains
• Detect redirect loops
• Export all redirect paths
• Visualize crawl structure
• Integrate with XML sitemaps, GA, GSC, and log files

Its "Reports → Redirect Chains" report is especially useful for finding long redirect sequences.

Best visualization: Sitebulb

If your priority is understanding redirect architecture visually rather than just exporting CSVs, Sitebulb stands out.

It provides:

• Interactive crawl maps
• Visual redirect chains
• Highlighted redirect loops
• Orphaned pages
• Internal linking graphs

Many SEO professionals find it easier to interpret than raw spreadsheets.

Best enterprise tools

For very large domains (millions of URLs):

• Lumar
• Botify
• Oncrawl
• JetOctopus

These tools can:

• Crawl continuously
• Merge crawl data with server logs
• Show redirect behavior over time
• Detect recurring redirect issues
• Handle JavaScript rendering
• Produce executive dashboards

Best for graph analysis: Neo4j

If you're auditing a migration or diagnosing complex redirect logic, a graph database is extremely powerful.

Example graph:

A
 \
  → B
      \
       → C
           \
            → D

E
 \
  → F
      ↘
        G
      ↗
H

Loops become immediately obvious:

A → B → C → D
      ↑     ↓
      └─────┘

With Neo4j you can run queries like:

• Find every cycle
• Find chains longer than 3 redirects
• Find URLs with multiple redirect sources
• Find orphaned redirect targets
• Compute shortest redirect paths

Best visualization: Gephi

A common workflow is:

1. Crawl the site with Screaming Frog.
2. Export redirect relationships (Source → Destination).
3. Import the data into Gephi.
4. Apply layouts such as ForceAtlas2 or OpenOrd.

The result is an interactive network where:

• redirect hubs stand out,
• loops appear as circular clusters,
• long chains are immediately visible,
• isolated redirect islands are easy to spot.

This approach works well even for hundreds of thousands of redirect edges.

Best open-source workflow

If you're comfortable with scripting:

Crawler
   ↓
CSV

Source URL
Destination URL
Status

   ↓

NetworkX (Python)

   ↓

Detect:
- cycles
- chains
- strongly connected components

   ↓

Export

Gephi
Neo4j
Cytoscape

Using algorithms such as:

• Strongly Connected Components (Tarjan or Kosaraju)
• Cycle detection
• PageRank
• Shortest path
• Weakly Connected Components

lets you uncover redirect patterns that typical SEO crawlers don't surface.

Recommendation by use case

• Most SEO audits: Screaming Frog.
• Best built-in visualizations: Sitebulb.
• Enterprise websites (millions of URLs): Botify, Lumar, or Oncrawl.
• Deep redirect-network analysis and custom visualizations: Export crawl data into Gephi or Neo4j for graph-based analysis.

For very large migrations or legacy sites with complex redirect logic, a combination of Screaming Frog (for crawling) and Gephi or Neo4j (for visualization and graph analysis) is often the most effective approach.

If your goal is to crawl an entire website, discover redirect chains, identify redirect loops, and visualize them, there are several tools that excel at different scales.

Best desktop crawler: Screaming Frog

For most technical SEO work, Screaming Frog is the standard.

It can:

• Crawl hundreds of thousands to millions of URLs
• Report every redirect (301, 302, 307, 308)
• Detect redirect chains
• Detect redirect loops
• Export all redirect paths
• Visualize crawl structure
• Integrate with XML sitemaps, GA, GSC, and log files

Its "Reports → Redirect Chains" report is especially useful for finding long redirect sequences.

Best visualization: Sitebulb

If your priority is understanding redirect architecture visually rather than just exporting CSVs, Sitebulb stands out.

It provides:

• Interactive crawl maps
• Visual redirect chains
• Highlighted redirect loops
• Orphaned pages
• Internal linking graphs

Many SEO professionals find it easier to interpret than raw spreadsheets.

Best enterprise tools

For very large domains (millions of URLs):

• Lumar
• Botify
• Oncrawl
• JetOctopus

These tools can:

• Crawl continuously
• Merge crawl data with server logs
• Show redirect behavior over time
• Detect recurring redirect issues
• Handle JavaScript rendering
• Produce executive dashboards

Best for graph analysis: Neo4j

If you're auditing a migration or diagnosing complex redirect logic, a graph database is extremely powerful.

Example graph:

A
 \
  → B
      \
       → C
           \
            → D

E
 \
  → F
      ↘
        G
      ↗
H

Loops become immediately obvious:

A → B → C → D
      ↑     ↓
      └─────┘

With Neo4j you can run queries like:

• Find every cycle
• Find chains longer than 3 redirects
• Find URLs with multiple redirect sources
• Find orphaned redirect targets
• Compute shortest redirect paths

Best visualization: Gephi

A common workflow is:

1. Crawl the site with Screaming Frog.
2. Export redirect relationships (Source → Destination).
3. Import the data into Gephi.
4. Apply layouts such as ForceAtlas2 or OpenOrd.

The result is an interactive network where:

• redirect hubs stand out,
• loops appear as circular clusters,
• long chains are immediately visible,
• isolated redirect islands are easy to spot.

This approach works well even for hundreds of thousands of redirect edges.

Best open-source workflow

If you're comfortable with scripting:

Crawler
   ↓
CSV

Source URL
Destination URL
Status

   ↓

NetworkX (Python)

   ↓

Detect:
- cycles
- chains
- strongly connected components

   ↓

Export

Gephi
Neo4j
Cytoscape

Using algorithms such as:

• Strongly Connected Components (Tarjan or Kosaraju)
• Cycle detection
• PageRank
• Shortest path
• Weakly Connected Components

lets you uncover redirect patterns that typical SEO crawlers don't surface.

Recommendation by use case

• Most SEO audits: Screaming Frog.
• Best built-in visualizations: Sitebulb.
• Enterprise websites (millions of URLs): Botify, Lumar, or Oncrawl.
• Deep redirect-network analysis and custom visualizations: Export crawl data into Gephi or Neo4j for graph-based analysis.

For very large migrations or legacy sites with complex redirect logic, a combination of Screaming Frog (for crawling) and Gephi or Neo4j (for visualization and graph analysis) is often the most effective approach.

If your goal is to crawl an entire website, discover redirect chains, identify redirect loops, and visualize them, there are several tools that excel at different scales.

Best desktop crawler: Screaming Frog

For most technical SEO work, Screaming Frog is the standard.

It can:

• Crawl hundreds of thousands to millions of URLs
• Report every redirect (301, 302, 307, 308)
• Detect redirect chains
• Detect redirect loops
• Export all redirect paths
• Visualize crawl structure
• Integrate with XML sitemaps, GA, GSC, and log files

Its "Reports → Redirect Chains" report is especially useful for finding long redirect sequences.

Best visualization: Sitebulb

If your priority is understanding redirect architecture visually rather than just exporting CSVs, Sitebulb stands out.

It provides:

• Interactive crawl maps
• Visual redirect chains
• Highlighted redirect loops
• Orphaned pages
• Internal linking graphs

Many SEO professionals find it easier to interpret than raw spreadsheets.

Best enterprise tools

For very large domains (millions of URLs):

• Lumar
• Botify
• Oncrawl
• JetOctopus

These tools can:

• Crawl continuously
• Merge crawl data with server logs
• Show redirect behavior over time
• Detect recurring redirect issues
• Handle JavaScript rendering
• Produce executive dashboards

Best for graph analysis: Neo4j

If you're auditing a migration or diagnosing complex redirect logic, a graph database is extremely powerful.

Example graph:

A
 \
  → B
      \
       → C
           \
            → D

E
 \
  → F
      ↘
        G
      ↗
H

Loops become immediately obvious:

A → B → C → D
      ↑     ↓
      └─────┘

With Neo4j you can run queries like:

• Find every cycle
• Find chains longer than 3 redirects
• Find URLs with multiple redirect sources
• Find orphaned redirect targets
• Compute shortest redirect paths

Best visualization: Gephi

A common workflow is:

1. Crawl the site with Screaming Frog.
2. Export redirect relationships (Source → Destination).
3. Import the data into Gephi.
4. Apply layouts such as ForceAtlas2 or OpenOrd.

The result is an interactive network where:

• redirect hubs stand out,
• loops appear as circular clusters,
• long chains are immediately visible,
• isolated redirect islands are easy to spot.

This approach works well even for hundreds of thousands of redirect edges.

Best open-source workflow

If you're comfortable with scripting:

Crawler
   ↓
CSV

Source URL
Destination URL
Status

   ↓

NetworkX (Python)

   ↓

Detect:
- cycles
- chains
- strongly connected components

   ↓

Export

Gephi
Neo4j
Cytoscape

Using algorithms such as:

• Strongly Connected Components (Tarjan or Kosaraju)
• Cycle detection
• PageRank
• Shortest path
• Weakly Connected Components

lets you uncover redirect patterns that typical SEO crawlers don't surface.

Recommendation by use case

• Most SEO audits: Screaming Frog.
• Best built-in visualizations: Sitebulb.
• Enterprise websites (millions of URLs): Botify, Lumar, or Oncrawl.
• Deep redirect-network analysis and custom visualizations: Export crawl data into Gephi or Neo4j for graph-based analysis.

For very large migrations or legacy sites with complex redirect logic, a combination of Screaming Frog (for crawling) and Gephi or Neo4j (for visualization and graph analysis) is often the most effective approach.

If your goal is to crawl an entire website, discover redirect chains, identify redirect loops, and visualize them, there are several tools that excel at different scales.

Best desktop crawler: Screaming Frog

For most technical SEO work, Screaming Frog is the standard.

It can:

• Crawl hundreds of thousands to millions of URLs
• Report every redirect (301, 302, 307, 308)
• Detect redirect chains
• Detect redirect loops
• Export all redirect paths
• Visualize crawl structure
• Integrate with XML sitemaps, GA, GSC, and log files

Its "Reports → Redirect Chains" report is especially useful for finding long redirect sequences.

Best visualization: Sitebulb

If your priority is understanding redirect architecture visually rather than just exporting CSVs, Sitebulb stands out.

It provides:

• Interactive crawl maps
• Visual redirect chains
• Highlighted redirect loops
• Orphaned pages
• Internal linking graphs

Many SEO professionals find it easier to interpret than raw spreadsheets.

Best enterprise tools

For very large domains (millions of URLs):

• Lumar
• Botify
• Oncrawl
• JetOctopus

These tools can:

• Crawl continuously
• Merge crawl data with server logs
• Show redirect behavior over time
• Detect recurring redirect issues
• Handle JavaScript rendering
• Produce executive dashboards

Best for graph analysis: Neo4j

If you're auditing a migration or diagnosing complex redirect logic, a graph database is extremely powerful.

Example graph:

A
 \
  → B
      \
       → C
           \
            → D

E
 \
  → F
      ↘
        G
      ↗
H

Loops become immediately obvious:

A → B → C → D
      ↑     ↓
      └─────┘

With Neo4j you can run queries like:

• Find every cycle
• Find chains longer than 3 redirects
• Find URLs with multiple redirect sources
• Find orphaned redirect targets
• Compute shortest redirect paths

Best visualization: Gephi

A common workflow is:

1. Crawl the site with Screaming Frog.
2. Export redirect relationships (Source → Destination).
3. Import the data into Gephi.
4. Apply layouts such as ForceAtlas2 or OpenOrd.

The result is an interactive network where:

• redirect hubs stand out,
• loops appear as circular clusters,
• long chains are immediately visible,
• isolated redirect islands are easy to spot.

This approach works well even for hundreds of thousands of redirect edges.

Best open-source workflow

If you're comfortable with scripting:

Crawler
   ↓
CSV

Source URL
Destination URL
Status

   ↓

NetworkX (Python)

   ↓

Detect:
- cycles
- chains
- strongly connected components

   ↓

Export

Gephi
Neo4j
Cytoscape

Using algorithms such as:

• Strongly Connected Components (Tarjan or Kosaraju)
• Cycle detection
• PageRank
• Shortest path
• Weakly Connected Components

lets you uncover redirect patterns that typical SEO crawlers don't surface.

Recommendation by use case

• Most SEO audits: Screaming Frog.
• Best built-in visualizations: Sitebulb.
• Enterprise websites (millions of URLs): Botify, Lumar, or Oncrawl.
• Deep redirect-network analysis and custom visualizations: Export crawl data into Gephi or Neo4j for graph-based analysis.

For very large migrations or legacy sites with complex redirect logic, a combination of Screaming Frog (for crawling) and Gephi or Neo4j (for visualization and graph analysis) is often the most effective approach.

If your goal is to crawl a large site, discover redirect chains, detect redirect loops, and visualize how URLs connect, there are several strong options depending on whether you want an SEO tool, an enterprise crawler, or a graph-analysis platform.

Best overall: Screaming Frog

For most technical SEO work, Screaming Frog is the standard.

It will:

• crawl hundreds of thousands to millions of URLs (using database storage)
• show every redirect hop
• identify:
  • 301 → 301 chains
  • 302 chains
  • mixed redirect chains
  • redirect loops
• export redirect paths
• visualize crawl paths
• connect redirects with canonical and internal links

Typical output:

/page-a
   ↓301
/page-b
   ↓301
/page-c
   ↓302
/page-d

It also includes reports specifically for Redirect Chains and Redirect Loops.

Best visualization: Sitebulb

Sitebulb produces some of the clearest diagrams.

It includes:

• crawl maps
• force-directed graphs
• redirect chain diagrams
• issue clustering
• URL relationship visualization

It's often easier to interpret visually than Screaming Frog.

Enterprise websites (millions of URLs)

For very large sites:

• Oncrawl
• Botify
• Lumar

These platforms combine:

• server logs
• crawl data
• redirect history
• Google Search Console data
• graph-based visualizations

They can reveal problems like:

• redirect clusters
• orphaned redirect targets
• infinite redirect paths
• redirect depth
• crawl budget wasted on redirects

Best custom visualization: Neo4j

If you want to analyze redirect architecture itself, graph databases are hard to beat.

Example graph:

A ──301──► B
           │
           ▼
           C
           │
           ▼
           D

Or a loop:

A ─► B
▲    │
│    ▼
└────C

Cypher queries can instantly find:

• cycles
• longest redirect chains
• hubs
• disconnected clusters
• strongly connected components

This scales to millions of nodes.

Best for graph exploration: Gephi

Export redirects as:

Source,Target
/page-a,/page-b
/page-b,/page-c
/page-c,/page-d

Gephi can then generate:

• force-directed layouts
• community detection
• loop visualization
• node sizing by PageRank
• edge coloring by redirect type (301 vs 302)

Many SEO teams use Screaming Frog for crawling and Gephi for visualization.

Command-line option

If you prefer automation, you can build your own redirect graph with tools like:

• curl
• wget
• Python (requests or httpx)
• Graphviz
• NetworkX

A common workflow is:

Crawler
      ↓
Redirect edge list
      ↓
NetworkX
      ↓
Detect cycles
      ↓
Graphviz / Gephi

NetworkX can detect redirect loops in milliseconds even on very large graphs.

Recommended combinations

• Most SEO professionals: Screaming Frog + Gephi.
• Enterprise SEO: Botify, Oncrawl, or Lumar for integrated crawling and visualization.
• Engineering teams: Python + NetworkX + Neo4j for custom analyses, dashboards, and graph queries over millions of URLs.

If your goal is to crawl large websites, identify redirect chains, detect redirect loops, and visualize how URLs resolve, the best tool depends on the size of the site and how much analysis you need.

Best overall: Screaming Frog

For technical redirect analysis, Screaming Frog is still the benchmark.

It can:

• Crawl entire domains
• Show complete redirect chains (301, 302, 307, 308)
• Flag redirect loops automatically
• Export redirect paths
• Identify redirect chains longer than a specified length
• Crawl JavaScript-rendered sites
• Visualize crawl architecture using:
  • Crawl Tree Graph
  • Directory Tree Graph
  • Force-Directed Crawl Diagram
  • Radial Graph

It's particularly useful if you need to answer questions like:

A
 ↓301
B
 ↓302
C
 ↓301
D

or

A
 ↓301
B
 ↓301
C
 ↓301
A   ← loop

Best visualization: Sitebulb

If visualization is your priority, Sitebulb is arguably the strongest.

It automatically creates:

• redirect maps
• crawl flow diagrams
• URL relationship graphs
• issue clusters
• interactive website architecture maps

Many SEO consultants prefer it because it makes redirect problems obvious without digging through spreadsheets.

Best for millions of URLs

For enterprise-scale sites (100k–50M+ URLs):

• Botify
• Lumar
• Oncrawl

These platforms maintain crawl databases over time, allowing you to:

• compare redirect changes between crawls
• visualize redirect networks
• find orphaned redirect targets
• identify redirect chains introduced by deployments

Open-source options

If you prefer to build your own workflow:

• NetworkX (Python) — model redirects as a directed graph and detect cycles with graph algorithms.
• Gephi — import redirect edges (CSV) to create interactive network visualizations.
• Graphviz — generate DOT diagrams for redirect paths.
• Neo4j — store redirects in a graph database and query for loops, long chains, or convergence points.

Example redirect graph:

URL A ──301──▶ URL B ──302──▶ URL C
   ▲                           │
   └────────────301─────────────┘

A graph database can detect loops almost instantly using cycle-detection queries.

For HTTP debugging

If you want to inspect redirects without crawling an entire site:

• curl (curl -IL)
• httpie
• Browser DevTools (Network tab)
• Redirect Path browser extension

These are useful for examining individual URLs but not for mapping site-wide redirect structures.

Recommendation by use case

• Most SEO professionals: Screaming Frog
• Best visual interface: Sitebulb
• Enterprise websites: Botify or Lumar
• Custom graph analysis: Python + NetworkX + Gephi (or Neo4j)

If you're looking to map and visualize redirect chains across hundreds of thousands or millions of URLs, a combination of Screaming Frog for crawling and Gephi or Neo4j for graph visualization provides one of the most powerful and flexible workflows.

If your goal is to crawl a large website, discover redirect chains (301/302/307/308), identify redirect loops, and visualize how URLs connect, there are several good options depending on scale and budget.

Best desktop option: Screaming Frog

Screaming Frog is often the first recommendation because it:

• Crawls hundreds of thousands to millions of URLs.
• Records every redirect hop.
• Flags redirect chains.
• Detects redirect loops automatically.
• Exports redirect data as CSV.
• Generates crawl diagrams and crawl trees.

For many technical SEO audits, this is sufficient.

Best visualization: Sitebulb

If understanding the redirect architecture visually is important, Sitebulb offers:

• Interactive crawl maps
• Redirect path visualizations
• Internal linking graphs
• Architecture diagrams
• Prioritized issues

Many users find its visual reports easier to interpret than spreadsheets.

Enterprise-scale crawlers

For sites with millions of pages:

• Oncrawl
• Botify
• Lumar

These platforms continuously crawl websites and can:

• visualize redirect networks,
• identify chains that waste crawl budget,
• locate orphaned redirects,
• track redirect changes over time.

If you want actual graph analysis

For engineering teams, exporting redirects into a graph database is much more powerful.

Example graph:

A → B → C → D

E → F → G → E   (loop)

H → I
J → I
K → I

Using Neo4j you can easily query:

• all redirect chains longer than N hops,
• every redirect loop,
• pages redirecting to the same destination,
• circular dependencies,
• strongly connected components.

You can then visualize the graph interactively.

Open-source approach

A common pipeline is:

1. Crawl using:
   • Screaming Frog
   • wget
   • curl
   • custom Python crawler
2. Export:
   • source URL
   • destination URL
   • HTTP status
3. Import into:
   • Gephi
   • Neo4j
   • Graphviz
4. Run graph algorithms such as cycle detection, PageRank, or connected-components to identify redirect patterns.

For very large domains (10M+ URLs)

Organizations crawling web-scale sites often combine:

• a distributed crawler (such as Apache Nutch or a custom crawler),
• Neo4j or another graph database,
• Graphviz or Gephi for visualization,
• Spark or SQL for large-scale analysis.

This scales much better than desktop SEO tools when redirect relationships span millions of URLs.

If your focus is specifically mapping redirect topology as a graph rather than performing a general SEO audit, a combination of Screaming Frog (or a custom crawler) + Neo4j + Gephi provides one of the most flexible and powerful workflows.

If you're auditing large websites (tens of thousands to millions of URLs), there are several tools that can discover redirect chains and, to varying degrees, visualize redirect relationships and loops.

Best overall: Screaming Frog

For most SEO professionals, Screaming Frog is the standard choice because it:

• Crawls hundreds of thousands (or millions with sufficient hardware)
• Reports:
  • redirect chains
  • redirect loops
  • temporary vs permanent redirects
  • redirect depth
• Exports every redirect relationship to CSV for further analysis

Its weakness is visualization—the reports are tabular rather than graph-oriented.

Best visualization: Sitebulb

Sitebulb goes further by displaying:

• crawl maps
• redirect clusters
• problem paths
• orphaned pages
• redirect chains as interactive diagrams

This makes it much easier to identify patterns across an entire site than scrolling through spreadsheets.

Enterprise-scale: Botify / Oncrawl

If you're auditing sites with millions of URLs, these platforms can:

• build complete redirect graphs
• overlay crawl data with log files
• identify redirect bottlenecks
• detect loops involving only search-engine crawlers
• visualize internal link flow alongside redirects

These are designed for large ecommerce, publisher, and enterprise websites.

Best for true network visualization

If your goal is to see redirect networks rather than simply report them, export crawl data into a graph tool.

For example:

URL A → URL B
URL B → URL C
URL C → URL D
URL D → URL B

In Gephi or Neo4j this immediately appears as a directed cycle, making redirect loops obvious even in graphs containing hundreds of thousands of nodes.

This approach also lets you:

• color nodes by HTTP status
• size nodes by traffic
• highlight chains longer than 3 hops
• find strongly connected components (redirect loops)
• detect redirect "hubs"

Open-source option

You can also build your own visualization pipeline:

1. Crawl with Screaming Frog or a custom crawler.
2. Export redirects as edge pairs (source,target).
3. Load into:
   • Gephi for interactive graph layouts.
   • Neo4j for graph queries (e.g., "find all cycles").
   • Python using networkx and pyvis for browser-based visualizations.

This is often the most flexible approach for very large domains or custom reporting.

Recommendation by use case

• General SEO audits (up to ~500k URLs): Screaming Frog
• Best built-in visualizations: Sitebulb
• Enterprise websites (millions of pages): Botify or Oncrawl
• Research, engineering, or custom analysis: Neo4j + Gephi + NetworkX

If your specific goal is finding every redirect loop across a very large domain and visualizing them as an interactive graph, a combination of Screaming Frog (or another crawler) with Neo4j or Gephi provides the deepest level of analysis.

If you're auditing large websites, you generally want a crawler that can:

• Follow every 3xx redirect across millions of URLs
• Detect redirect chains (A → B → C → D)
• Detect redirect loops (A → B → C → A)
• Visualize link relationships as graphs or trees
• Export redirect paths for analysis
• Scale to enterprise-sized sites

Here are the strongest options:

Best desktop option: Screaming Frog

Best for technical SEO and engineering teams.

Features include:

• Finds every redirect chain
• Reports redirect hops
• Identifies loops automatically
• Visual crawl diagrams
• Force-directed crawl visualization
• Export every redirect path as CSV
• Custom extraction and API integrations

Ideal for sites ranging from a few thousand to several million URLs (depending on available RAM and storage).

Best visualization: Sitebulb

Sitebulb is arguably the easiest tool for understanding redirect problems visually.

It provides:

• Interactive crawl maps
• Redirect chain diagrams
• Redirect depth reports
• Link relationship visualizations
• Issue prioritization

Many users find it easier to interpret than raw crawler exports.

Best enterprise crawlers

If you're dealing with hundreds of millions of URLs:

• JetOctopus
• Lumar
• OnCrawl
• Botify

These platforms store crawl data in cloud infrastructure and can visualize:

• Redirect clusters
• Canonical clusters
• Internal linking
• Redirect chains across entire domains
• Historical redirect changes

Graph visualization tools

If your goal is to see redirect networks rather than simply report them, consider exporting crawl data into graph software.

Good choices include:

• Gephi — interactive force-directed graphs
• Neo4j — query redirect paths with Cypher
• Graphviz — automatic directed graphs
• Cytoscape — useful for complex relationship analysis

A redirect chain like:

/old-page
    ↓
/new-page
    ↓
/archive
    ↓
/current

becomes an actual directed graph instead of rows in a spreadsheet.

If you're building your own crawler

Many teams crawl with frameworks like:

• Python + requests/httpx
• Playwright
• Puppeteer

Then export edges such as:

source,target,status
A,B,301
B,C,302
C,D,301
D,E,200

These can be imported directly into Gephi or Neo4j to automatically identify:

• Redirect loops
• Long chains
• Dead ends
• Orphaned redirect clusters
• Strongly connected components (cycles)

Recommendation by use case

• Best overall: Screaming Frog
• Best visual reports: Sitebulb
• Best for enterprise-scale websites: JetOctopus or Lumar
• Best for graph/network analysis: Neo4j + Gephi
• Best for custom engineering workflows: A bespoke crawler combined with a graph database

For organizations managing very large sites (millions of URLs), a common setup is to use a high-scale crawler (such as JetOctopus or Lumar) to collect redirect data, then load it into Neo4j or Gephi for advanced visualization and automated detection of redirect loops and complex redirect networks.