Firecrawl is a powerful API service designed to transform any website into LLM-ready data. It offers advanced scraping, crawling, and data extraction capabilities, making it an essential tool for developers working with AI applications.
Key Features:
- Scrape: Extract content from a URL in various formats like markdown, structured data, HTML, and even screenshots.
- Crawl: Automatically crawl all accessible subpages of a website and return clean, formatted data.
- Map: Quickly retrieve all URLs present on a website.
- Search: Perform web searches and optionally scrape the results in one operation.
- Extract: Use AI to get structured data from single pages, multiple pages, or entire websites based on a prompt or schema.
Advanced Capabilities:
- Handles Complex Scenarios: Proxies, anti-bot mechanisms, dynamic content (JS-rendered), output parsing, and orchestration.
- Customizable: Exclude specific tags, crawl behind authentication walls with custom headers, set max crawl depth, and more.
- Media Parsing: Supports PDFs, DOCX, and images.
- Actions: Perform actions like clicking, scrolling, inputting text, and waiting before extracting data.
- Batching: Scrape thousands of URLs simultaneously with an async endpoint.
SDK Support:
Firecrawl provides SDKs for Python, Node.js, Go, and Rust, along with integrations for popular LLM frameworks like Langchain, Llama Index, and more. It also supports low-code frameworks such as Dify, Langflow, and Flowise AI.
Open Source & Hosted Options:
Firecrawl is open-source under the AGPL-3.0 license, allowing for self-hosting. However, a hosted version is also available, offering additional features like managed infrastructure, automatic updates, and enhanced support.
Whether you're building AI applications, data pipelines, or research tools, Firecrawl simplifies the process of converting web content into usable, structured data.