Analytics and monitoring decision
Oncrawl
Build a narrow self-hosted crawler+analysis for a single site is realistic in about a week; replacing Oncrawl’s full enterprise-scale, unsampled data platform and managed AI lenses is not practical for a single developer.
Visit website↗Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need — the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship.
What a replacement has to do
- Crawl a target site, parse and index pages; ingest and parse web server logs; correlate crawl and log data and compute basic SEO metrics (indexability, internal links, orphan pages, response codes); surface prioritized issues and generate exportable reports; provide a minimal REST endpoint to trigger crawls and download results.
What it still won’t have
- large-scale crawling and log-processing capacity
- unsampled enterprise-scale data guarantees
- prebuilt AI Search Lens and Content Lens analyses
- managed integrations and enterprise support
- ability to process very large sites (millions of URLs) at scale
What remains hard
- Infrastructure at scale
+300M URLs crawled (JS)
- Infrastructure at scale
+500M log lines processed daily
- Brand trust
"I'd recommend Oncrawl for technical SEO challenges."
First-year cost
No published price
Oncrawl does not publish a price we could read, so there is nothing to compare against. What building costs is below.
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 technical SEO tool using Node.js (crawler using Playwright), Python (analysis jobs), Postgres for storage, and React for a small dashboard. In scope: headless crawling with JS rendering, link and metadata extraction, server-log ingestion parser, jobs to compute indexability, internal-link graph metrics, orphan-page detection, simple content-quality heuristics, CSV export, and REST endpoints to trigger crawls and fetch reports. Out of scope: distributed scalable crawling for millions of URLs, enterprise multi-tenant billing, and advanced AI lenses. Include error handling, retry/backoff for fetches, unit tests for parsers and analysis logic, and Docker Compose for local deployment.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 4 cited sources+3
- Hard moats found in the evidence-3
- Evidence score57
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 · 4
Every page the run actually retrieved.
- official productOncrawl product
- official pricingOncrawl pricing
- open sourceopenobserve/openobserve
- open sourceallinurl/goaccess
Integrity checks
What held up, and what did not.
