Firecrawl
byNYO2008
0Integrates advanced web scraping and data extraction capabilities with large language model clients.
About
Firecrawl is a Model Context Protocol (MCP) server that empowers Large Language Models (LLMs) such as Cursor, Claude, and other AI clients with robust web scraping features. It enables comprehensive web crawling, precise content extraction, and in-depth online research directly from within LLM environments. Designed to provide up-to-date and relevant context, Firecrawl automates tasks like web content retrieval, URL discovery, and structured data extraction, complete with automatic retries, rate limiting, and flexible deployment options for both cloud and self-hosted instances.
Key Features
- Web scraping, crawling, and URL discovery
- Automatic retries and intelligent rate limiting
- Deep research and efficient batch scraping operations
- Cloud and self-hosted deployment support
- 0 GitHub stars
- Search and content extraction from web pages
Use Cases
- Automating content extraction from multiple websites for data analysis or knowledge bases.
- Enhancing LLM capabilities with real-time web access for accurate information retrieval.
- Conducting in-depth research by crawling and summarizing information from various online sources for AI agents.
Sponsored