Firecrawl - The Web Data API for AI
The web crawling, scraping, and search API for AI. Built for scale. Firecrawl delivers the entire internet to AI agents and builders. Clean, structured, and ready to reason with.
What it is
Firecrawl is a web scraping and crawling API designed to convert website content into LLM-ready data formats. It is primarily targeted at developers and businesses building AI applications that require clean, structured data extracted from the web. The service handles complexities like JavaScript rendering, authentication, and anti-bot measures, making it suitable for projects ranging from small tools to large-scale data extraction.
Main Features
Data Extraction
- Scrape content from individual URLs and output in multiple formats including Markdown, JSON, and screenshots
- Extract text and data from web-hosted documents like PDFs and DOCX files
- Convert entire websites into structured, LLM-ready data
Web Crawling
- Crawl all pages within a website to extract data from each page
- Handle JavaScript-heavy and protected pages without requiring proxy configuration
- Respect robots.txt directives while providing configurable crawling options
Search Integration
- Perform web searches and extract full content from result pages
- Integrate real-time web data into applications and AI assistants
Developer Tools
- Provide Python and Node.js SDKs for easy integration
- Offer a playground environment for testing and development
- Support interactive scraping actions (click, scroll, type, wait) before extraction
How it works
Individual Page Scraping
Users provide a URL to the API, which returns cleaned content in their chosen format (Markdown, JSON, etc.). The service automatically handles JavaScript rendering and waits for content to load before extraction.
Full Website Crawling
Users specify a domain, and Firecrawl systematically crawls all accessible pages, returning structured data for each page. This is useful for building comprehensive datasets from entire websites.
Search-Based Data Collection
Users submit search queries through the API, which returns results with full content extraction from the resulting pages. This enables applications to incorporate current web information.
Document Processing
Users can submit URLs pointing to documents (PDFs, DOCX), and Firecrawl will extract and return the textual content in structured formats.
Key Points
- Open-source core with transparent development and community contributions
- Handles challenging scraping scenarios including JavaScript-rendered content and protected pages
- Provides significantly faster performance compared to traditional scraping tools (sub-second response times)
- Includes intelligent features like automatic waiting for content loading and selective caching
- Offers stealth mode to avoid detection and blocking by websites
- Supports interactive actions for complex scraping scenarios requiring user interactions
Additional Details
Pricing
- Free plan: 500 credits (one-time), 2 concurrent requests
- Hobby: $29/month for 3,000 credits, 5 concurrent requests
- Standard: $299/month for 100,000 credits, 50 concurrent requests, standard support
- Growth: $999/month for 500,000 credits, 100 concurrent requests, priority support
- Enterprise: Custom pricing with unlimited credits, custom RPMs, and advanced features
- Additional credits available at $9/1000 credits
- Annual plans offer 20% discount with 2 months free
Availability
- API access through REST endpoints and SDKs (Python, Node.js)
- Playground available for testing without code
- SOC II Type 2 certified for enterprise security requirements
Requirements
- API key required for authenticated requests
- Supports standard web formats and protocols
- No special infrastructure requirements for basic usage
