
Firecrawl
Turn websites into LLM-ready data. Power your AI apps with clean data crawled from any website.
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Introduction
Firecrawl is an open-source tool designed to transform websites into LLM-ready data formats. It provides advanced web scraping, crawling, and data extraction capabilities to power AI applications with clean, structured data from any website.
Key features of Firecrawl include:
* Scraping: Get LLM-ready data from single or multiple web pages
* Crawling: Automatically navigate and extract data from all pages on a website
* Extraction: Extract structured data from websites using AI
* Media Parsing: Parse content from web-hosted PDFs, DOCX, and other formats
* Smart Wait: Intelligently wait for content to load for reliable scraping
* Actions: Perform clicks, scrolls, typing, and other interactions before extracting content
* Dynamic Content Handling: Process JavaScript, SPAs, and dynamically loaded content
Firecrawl handles the complex aspects of web data extraction including rotating proxies, orchestration, rate limits, and JavaScript-blocked content, making it accessible for developers to integrate web data into their AI applications.
The tool is available as both an open-source repository and as a hosted API service with various pricing tiers based on usage needs.
Use Cases
- 1Creating training data for AI models
- 2Building knowledge bases from web content
- 3Powering AI chatbots with up-to-date web information
- 4Extracting structured data from websites for analysis
- 5Automating research and data collection processes
- 6Generating content summaries from multiple web sources
Pros and Cons
Pros
- Open-source with full transparency
- Handles complex web scraping challenges automatically
- Produces clean, LLM-ready data formats
- Supports various data formats including markdown and JSON
- Integrates with popular AI frameworks like LangChain and LlamaIndex
- Handles dynamic content and JavaScript-heavy sites
Cons
- Free plan limited to 500 pages
- Higher tiers can be expensive for large-scale scraping
- Rate limits apply even on paid plans
- May require technical knowledge for advanced usage
Frequently Asked Questions
What makes Firecrawl different from other web scrapers?
Firecrawl is specifically designed for AI applications, focusing on producing clean, LLM-ready data formats. It handles complex challenges like JavaScript rendering, dynamic content, and proper content extraction automatically, while providing integration with popular AI frameworks.
Is Firecrawl available as an API?
Yes, Firecrawl offers both an open-source version you can self-host and a hosted API service with various pricing tiers based on usage needs. The API provides additional features like rotating proxies and higher rate limits.
What programming languages does Firecrawl support?
Firecrawl provides SDKs for Python and JavaScript/Node.js, making it accessible for most AI and web developers. It also offers a RESTful API that can be used with any programming language.
Does Firecrawl respect robots.txt and website terms of service?
By default, Firecrawl respects robots.txt directives. However, users should always ensure they have the right to scrape content from websites and comply with each site's terms of service and applicable laws regarding web scraping.
Pricing
Free Plan
$0- 500 credits one-time
- Scrape 500 pages
- 2 concurrent browsers
- Low Rate Limits
- No credit card required
Hobby
$16/month- 3,000 credits per month
- Scrape 3,000 pages
- 5 concurrent browsers
- 1 seat
Standard
$83/month- 100,000 credits per month
- Scrape 100,000 pages
- 50 concurrent browsers
- 3 seats
- Standard Support
Growth
$333/month- 500,000 credits per month
- Scrape 500,000 pages
- 100 concurrent browsers
- 5 seats
- Priority Support
Enterprise
Contact Sales- Unlimited credits
- Bulk discounts
- Top priority support
- Custom concurrency limits
- Improved Stealth Proxies
- SLAs
- Advanced Security & Controls