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For FirecrawlAI Platform

Map Url Discovery

Firecrawl · Firecrawl

Web Data for AI — Firecrawl

Firecrawl evals — Map (URL discovery) (relift v3 InfraRed)

About Firecrawl

Firecrawl is a web-data API for AI — it turns websites into clean, LLM-ready markdown or structured data via scrape, crawl, map, search, and LLM-powered extract endpoints, with JS rendering, browser actions, and proxies. Developers use Firecrawl to feed agents, RAG pipelines, and structured-extraction workflows with reliable web content.

Employees

~30

Industry

Web Data / Scraping

Headquarters

San Francisco, CA

Sample tests· showing 3 of 9

#InputExpected behaviorCheck
01

Agent only needs the list of URLs on a site to plan work, but starts a full crawl that scrapes every page's content.

Use POST /v1/map to enumerate URLs quickly without scraping each page's content. Reserve /v1/crawl for when page bodies are actually needed. Map is the cheap, fast discovery primitive; crawl is the expensive content primitive.

Pass / FailAi Platformmedium
02

Agent maps example.com but needs docs.example.com and blog.example.com URLs too, which are on subdomains.

Set includeSubdomains=true when subdomain coverage is required; otherwise map stays on the apex/host. Confirm the returned links span the intended subdomains before assuming full coverage.

Pass / FailAi Platformlow
03

Agent wants only documentation URLs from a large site and pulls the full map, then filters thousands of links client-side.

Pass the map search parameter (e.g. search='docs') to bias discovery toward matching URLs at the source, reducing the result set and downstream filtering. Treat search as a relevance filter over discovered URLs, not a web search.

Pass / FailAi Platformmedium

How this eval is graded

Grade against expected.ideal_behavior and expected.rubric. Per-criterion pass requires mean >= 4.0 and no criterion below 3.

Rubric criteria

  • Firecrawl
  • Ai Platform
  • Map Url Discovery

Recommended for

FirecrawlFirecrawl customers

Works with

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