Firecrawl
Supercharge AI agents with web data—building the library for superintelligence.
Firecrawl is a web‑data infrastructure platform that lets AI agents and developers search, scrape, crawl, and map live websites via a simple API. It returns LLM‑ready content in markdown, JSON, screenshots and more, handling JavaScript rendering, smart waiting, and media parsing (PDF, DOCX, etc.) while stripping navigation, ads and footers for token‑efficient output. Built for performance, Firecrawl offers sub‑second latency, 96% coverage on benchmark suites, and open‑source SDKs for Python, Node.js, CLI and cURL. Trusted by over 150,000 companies, it integrates with AI agents through MCP or direct API calls, enabling fast, reliable, and scalable web data extraction for real‑time applications.
- Headquarters
- San Francisco
- United States
- Employees
- 11 to 50
- Status
- Private
- GitHub
- 122 repos
- 3,918 followers
MCP servers
Firecrawl, the context API for AI agents: search, scrape, interact with the web, plus paper search.
Articles
AI agents just gained a critical capability with Firecrawl's launch of its Skill and CLI, a unified web data toolkit that allows AI agents to reliably scrape, search, and browse the web autonomously. This innovation solves the long-standing problem of agents struggling with JavaScript-heavy sites an
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