SEO and marketing decision
Screaming Frog SEO Spider
A competent technical user can build a useful subset (crawler + JS rendering + basic SEO checks and exports) in about a week; keep paying for Screaming Frog if you need their polished GUI, integrations, scale, and vendor support.
Visit website↗$20.42/mo
$245/yr
Per seat. Read off the official pricing page.
$50one-off30 h to build
$0/mo4 h/mo upkeep
On cash alone, building overtakes the subscription at 1 seat.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Crawl a target site, render pages (execute JS), extract key SEO fields (status, titles, metas, links), detect errors/broken links/redirects, and export reports.
What it still won’t have
- Polish and desktop GUI of the official app (native installers and menus)
- Built-in integrations (Google Analytics, Search Console, PageSpeed Insights)
- Advanced features: near-duplicate detection with vector embeddings, Looker Studio crawl report, and Log File Analyser bundle
- Brand trust, support, and yearly licence convenience
What remains hard
- Brand trust
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 1 seat.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a self-hosted SEO site crawler using Python (Scrapy for requests + Playwright for JS rendering), store results in SQLite, and expose a simple FastAPI web UI. In scope: crawl a site respecting robots.txt, render pages, extract status code, titles, meta descriptions, H1/H2, internal/external links, detect broken links and redirect chains, export CSV and XML sitemap, provide a CLI to run/schedule crawls, and include error handling and unit/integration tests. Out of scope: vector embeddings for near-duplicate detection, Looker Studio/GA/GSC/PSI integrations, advanced visual site graphs, and paid licence management.
How we checked
How the score was reached
- Build verdict base78
- 3 cited sources+3
- Price verified on pricing page+3
- Evidence score84
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productScreaming Frog
- official docsSEO Spider - Features and overview
- official pricingSEO Spider Pricing
Integrity checks
What held up, and what did not.
