Firecrawl
A web scraping API that converts websites into clean, LLM-ready data like markdown and JSON, handling JavaScript and dynamic content automatically.
What is Firecrawl?
Firecrawl is a web scraping API that turns websites into clean data formats that AI models can actually use.
It handles the messy parts automatically: JavaScript rendering, anti-bot systems, dynamic content loading, and converting everything to markdown or structured JSON.
Builders use it to feed documentation into RAG systems, scrape competitor sites for research, or gather training data without writing fragile selectors that break every time a site updates. It integrates directly with LangChain, LlamaIndex, and CrewAI.
Free tier includes 500 credits. Paid plans start at $16/month for 3,000 credits. Built by Mendable.
Good to Know
Three core modes: scrape (single URL), crawl (entire site), and map (URL discovery)
Automatically handles JavaScript rendering and bypasses anti-bot protections
Outputs markdown, HTML, JSON, or screenshots without manual selector configuration
Integrates with LangChain, LlamaIndex, and CrewAI for RAG and agent workflows
Free tier: 500 credits. Paid plans from $16/month for 3,000 credits
How Vibe Coders Use Firecrawl
Scraping product documentation to build a support chatbot with current info
Crawling competitor sites to gather pricing and feature data in one go
Converting blog posts and tutorials into markdown for RAG knowledge bases
Building a local search tool that pulls fresh content from multiple sources
Frequently Asked Questions
Related Terms
An open-source framework that lets you build AI apps by chaining together LLMs, tools, and data sources into reusable workflows.
A cloud platform for web scraping and automation that lets you extract data from any website using pre-built scrapers or custom code.
Google's free tool that shows how your site performs in search results and helps you fix technical SEO issues before they hurt traffic.
A specialized database that stores data as mathematical vectors (embeddings) to enable fast semantic search and AI-powered similarity matching.
Automatically extracting data from websites using code, turning web pages into structured data you can use in your apps or workflows.
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