Firecrawl
Free tierThe web data API to search and scrape with access to more sources through Alexandria.
Free tier available·All audiences·API available·Open source
Key strengths
Industry-leading reliability (96% coverage on 1,000-URL benchmark)Token-efficient output (93% fewer input tokens)Blazingly fast (P95 latency of 3,387ms)Open sourceJavaScript rendering and smart waitMedia parsing (PDFs, DOCX)MCP integration for AI agentsWeb search, scrape, crawl, map, and interact capabilities
Free tier + paid plans · from $16 USD/mo
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Firecrawl — Technical Overview
Firecrawl is an open-source web data API designed for developers building LLM applications, RAG pipelines, AI agents, and data-intensive workflows. It exposes endpoints for web search, scraping, crawling, site mapping, and browser interaction, with full JavaScript rendering and smart wait logic to handle dynamic content.
Key technical highlights:
- 96% coverage on a 1,000-URL benchmark — industry-leading reliability
- P95 latency of 3,387 ms for fast, predictable response times
- 93% fewer input tokens in output, reducing LLM costs and context overhead
- Media parsing support for PDFs and DOCX files
- MCP integration for direct use inside AI agent frameworks
- Native integrations with OpenAI, Claude, Gemini, Cursor, and Windsurf
- Open source with 180,000+ GitHub stars
Firecrawl also provides access to additional data sources through Alexandria, extending coverage beyond standard web scraping. It is available under a freemium model, with a free tier (1,000 credits/mo) and paid plans scaling from $16/mo up to enterprise custom pricing.