Firecrawl is an AI-powered web crawling and scraping API service designed specifically for creating clean, LLM-ready data (markdown, JSON, HTML, screenshots) from websites at scale. It converts websites into structured data optimized for AI use cases such as training datasets, retrieval augmented generation, and powering AI agents.

How does Firecrawl handle dynamic, JavaScript-heavy websites?

Firecrawl employs a built-in headless browser that renders JavaScript and automates user interactions like clicks, scrolls, and form fills. Its "Smart Wait" feature intelligently waits for dynamic content to load before scraping, ensuring full capture of modern web apps.

Can Firecrawl access gated or login-protected content?

Yes, Firecrawl supports authentication via headers and cookies, allowing it to extract data behind login walls or member-only sites by properly configuring API requests with credentials.

Does Firecrawl require sitemaps to crawl websites?

No, Firecrawl does not require sitemaps. It discovers pages by following hyperlinks on a site, emulating human browsing behavior.

What data formats does Firecrawl provide?

Firecrawl delivers data in multiple AI-friendly formats including clean markdown, structured JSON, raw HTML, screenshots, extracted images, links, and metadata, facilitating easy ingestion by AI platforms.

Can Firecrawl handle scale and real-time usage?

Yes, it is designed to scale automatically to enterprise levels, processing millions of pages for AI training datasets. It also supports real-time data extraction through its API, suitable for AI applications that require up-to-date information on-demand.

What are Firecrawl's key features?

Firecrawl's key features include scraping and crawling websites for organized content, mapping websites to get all URLs quickly, searching the web and returning full content of search results, extracting structured data via natural language prompts, supporting proxies, anti-bot mechanisms, click/scroll/input actions, and batch scraping with asynchronous endpoints.

How do I start using Firecrawl?

Begin by creating a free account on the Firecrawl website to obtain an API key. Then, integrate with your development environment using the HTTP API or SDKs (e.g., JavaScript, Python). Firecrawl also integrates with popular AI frameworks such as LangChain, LlamaIndex, CrewAI, Flowise, and others.

What should I do if I experience timeouts or unexpectedly large data?

Check that your API key is correctly set and debug the target website to ensure the scraping selectors or parameters correctly target desired content. Adjust scrape options like limits or actions if necessary.

Is Firecrawl free to use?

Firecrawl provides free accounts with limited usage and also offers enterprise plans tailored for large-scale or commercial projects. Check the official pricing page for details.

What business use cases does Firecrawl support?

Common uses include market research, competitor monitoring, automated news summarization, chatbot content onboarding, CRM enrichment, and powering retrieval augmented generation (RAG) applications for LLMs.

Firecrawl

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Firecrawl is an AI-powered service that gathers clean, structured data from any website. It's an API designed to scrape and crawl complex web pages, including those with dynamic content, converting information into AI-ready formats like Markdown or JSON. This reliably powers your AI applications.

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Overview Features Use Cases FAQ Integrations Pricing

About Firecrawl

Who It's For

Firecrawl helps developers and businesses building AI applications. If your AI tools, like chatbots or research platforms, need clean and current information from websites, this service is designed to reliably provide that data.

What You Get

You get web data perfectly formatted for AI, available as Markdown, JSON, or screenshots. Firecrawl can scrape single pages, explore entire websites, or search for specific content, handling dynamic JavaScript and login barriers to ensure you receive high-quality data.

How It Works

Firecrawl is an API. You give it a website URL, and it intelligently navigates, waits for content, then extracts the information. It employs smart techniques to bypass common scraping issues, giving you reliable data. Simply sign up for a free API key and integrate it into your projects.

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Features & Capabilities

⚙️ Core Web Data Extraction

Scrape Websites

Extracts LLM-ready data from web pages, available in formats like Markdown, JSON, and screenshots.

Web Search & Content

Searches the web and provides full content from the search results for comprehensive data retrieval.

Website Crawling

Automatically navigates and extracts data from all accessible pages within a specified website.

Multi-Format Output

Delivers extracted web data in various AI-friendly formats including Markdown, JSON, and screenshots.

✨ Advanced Scraping Technology

Anti-Blocking Reliability

Reliably accesses 96% of the web, including JS-heavy and protected pages, without needing manual proxy management.

Intelligent Content Loading

Intelligently waits for dynamic content to load on a page, ensuring all data is captured accurately.

Media Document Parsing

Parses and extracts content directly from web-hosted PDF and DOCX documents.

Interactive Web Actions

Allows simulating user interactions like clicks, scrolls, and typing before content extraction for dynamic sites.

🔗 Integration & Developer Experience

Seamless Integrations

Fully integrated with well-known existing tools and workflows for easy and quick adoption.

Open Source Core

Offers a transparent, collaboratively developed open-source core for community contributions and trust.

SDKs for Popular Languages

Provides Software Development Kits for Python and Node.js to simplify integration into developer projects.

🤖 AI-Powered Data Applications

LLM-Ready Data

Transforms raw web content into clean, structured data specifically optimized for large language models.

AI Assistant Context

Empowers AI assistants with real-time, accurate web content to provide richer and more informed conversational context.

Automated Lead Enrichment

Enhances sales and business data by automatically extracting relevant web information for lead profiles.

Deep Research & Analysis

Extracts comprehensive information from various web sources to support in-depth research and insights.

Use Cases

Powering AI Assistants with Real-time Web Context

AI assistants often lack up-to-date or specific external knowledge. Firecrawl allows developers to feed real-time, LLM-ready web data directly into their AI assistants, ensuring conversations are always informed by the latest and most relevant information from any website.

AI/SaaSFor: AI Developers

Automated Lead Enrichment and Sales Intelligence

Sales teams struggle to gather comprehensive, up-to-date information on leads and target accounts efficiently. Firecrawl enables businesses to automatically scrape public web data – including company details, funding stages, and key decision-makers – to enrich CRM records and provide sales teams with actionable intelligence for personalized outreach.

B2B SalesFor: Sales Development Representatives

Comprehensive Market and Competitive Research

Businesses need exhaustive data for market analysis and competitive intelligence, but manual web research is time-consuming and prone to gaps. Firecrawl automates the extraction of broad information from various web sources, including academic papers, news, industry reports, and competitor websites, providing a rich dataset for strategic decision-making.

Market ResearchFor: Market Research Analysts

Building Scalable Data Pipelines for AI Training and RAG

Developing robust AI models and Retrieval Augmented Generation (RAG) applications requires vast amounts of clean, structured data. Firecrawl simplifies the process of creating scalable web data pipelines, transforming raw website content into LLM-ready formats (Markdown, JSON) for effective model training and real-time knowledge retrieval.

AI DevelopmentFor: AI Engineers

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