Firecrawl

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.