TEARDOWN 101 · REVIEWED 2026-08-16

Screaming Frog

Screaming Frog SEO Spider is desktop software that crawls a website you point it at, checking broken links, redirects, meta data, and how pages look once JavaScript has run — using an automated browser built into the software, not just raw HTML. It stores results locally on your machine rather than pulling from any centralized web index.

API STITCHCAN YOU BUILD IT YOURSELF?Partially — core crawl is buildable
$279/YRCONFIDENCE HIGH3 PARTS

The basic crawl loop is a weekend build; matching Screaming Frog's scale and connectors is not.

OWN CRAWL ENGINENO PERSISTENT INDEXWEEKEND SCOPE

What you lose building it yourself

  • Crawling huge sites without running out of memory
  • Built-in Search Console/GA4/Ahrefs connectors
  • The official AI-assistant connector shipped in v24

Why people still pay

Screaming Frog's own free tier already proves a basic crawl is easy — what the $279/year license actually buys is not having to be the one who keeps a scraper working: safe crawling of sites with millions of URLs without your script running out of memory, handling JavaScript-heavy pages correctly, and maintained connectors to Search Console, GA4, and other SEO APIs that would otherwise break every time one of those services changes.

BUILD YOUR OWN · WEEKEND SCOPE (SINGLE-SITE AUDIT)

A basic version is realistic for an AI coding tool to build in a day or two: crawl a site with an automated browser, follow internal links, record status codes and page titles, and flag broken pages or missing meta data, exporting the results to a spreadsheet. What you won't get quickly is Screaming Frog's built-in JavaScript rendering at scale, memory-safe handling of million-URL sites, or its ready-made connectors to Search Console, GA4, and other SEO APIs — those take real, ongoing engineering work, not a weekend.

StackA headless browser library (Puppeteer/Playwright-style) for crawling and JS rendering · a URL queue with politeness/rate limiting · an HTML parser for links, titles, and meta tags · a CSV or simple table export · your own hosting or local run.

Prompt
Build a command-line crawler in Python. Given a start URL, follow only same-domain internal links up to 500 pages. Use Playwright to render JavaScript before reading each page's final HTML.

Record per page: status code, title, meta description, and outbound links, to a CSV. Flag broken links, missing/duplicate titles, and redirect chains over 2 hops. Respect robots.txt, 1s delay between requests.
Out of scope: JS rendering at million-URL scale, Search Console/GA4/Ahrefs connectors, scheduled cloud crawls — that's what the $279/year license actually buys.
0 built so far

Similar tools

Free alternative: LibreCrawlan open-source crawler with no URL cap, covering the same core crawl-and-audit job for free; nothing free matches Screaming Frog's breadth of configurable extraction and maintained integrations, which is what a paid license buys

Verified 2026-08-16Spot something wrong? →

QUESTIONS

Is there a free tier?

Yes — free up to 500 URLs per crawl, with the same feature set as the paid license (JS rendering, Search Console/GA4 integrations, custom extraction). The $279/year license's only real change is removing that URL cap.

Does the crawl itself depend on AI?

No — the crawl engine (automated browsing, link-following, status checks) works the same with or without AI. Optional connectors let a crawl call OpenAI or Gemini per page for tasks like summarization, but that's opt-in extraction, not how pages get crawled.

Does it run in the cloud, or only as desktop software?

Desktop only — it runs locally on Windows, macOS, or Linux and stores crawl data on your machine (or as exportable .seospider files), not in a hosted dashboard.