What Firecrawl is
Firecrawl is a tool for getting web-page data in a form useful for AI applications. It can search, crawl, extract content, and return clean Markdown, screenshots, or structured JSON.
It helps when a simple page request is not enough: JavaScript-heavy pages, access limits, proxies, multiple URLs, HTML cleanup, and preparing text for models. Firecrawl is available as a hosted service and can also be run independently.
What is inside
The main codebase is TypeScript. Around it are client libraries, server components, queue handling, search/extraction modes, and integrations with agents and MCP clients.
API call
This shows the core idea: send a URL and receive Markdown content.
curl -X POST https://api.firecrawl.dev/v2/scrape \
-H "Authorization: Bearer $FIRECRAWL_API_KEY" \
-H "Content-Type: application/json" \
-d '{"url":"https://example.com","formats":["markdown"]}'
Why it matters
LLM applications often need web pages as clean structured text. Firecrawl handles that layer: less manual HTML parsing, fewer wasted tokens, and easier search, knowledge-base, and agent use cases.
Limits
Web data extraction is not only technical. Site rules, copyright, request rates, personal data, and crawling cost still matter. Firecrawl simplifies extraction, not the surrounding decisions.