firecrawl/firecrawl

Features

• Autonomous Web Agents - Interpret natural language prompts to perform complex data gathering tasks by navigating the web and making independent decisions to locate specific information across multiple sources.
• Autonomous Web Researchers - Automating complex information gathering tasks by allowing agents to navigate, map, and extract data from websites without manual intervention.
• Agentic Web Browsing - Equipping AI agents with the ability to perform live web searches and interact with pages to solve real-time information retrieval problems.
• Web Access Interfaces - Initialize standardized command-line interfaces to expose web-browsing capabilities to local development environments or coding agents for external network communication.
• Application Integration SDKs - Connect web data extraction capabilities to backend services or agent loops by utilizing software development kits and API keys for programmatic access.
• Automated Workflow Generators - Route requests to specialized workflow skills to automate data collection and synthesis for creating finished artifacts like research briefs or SEO audits.
• LLM-Ready Data Extractors - A data extraction engine that converts unstructured web content into clean, structured formats optimized for large language model ingestion.
• LLM Data Preparation Tools - Converting unstructured web content into clean, structured formats like Markdown or JSON to feed directly into large language models.
• LLM-Driven Data Extractors - Transforms unstructured HTML into clean, semantic markdown or structured JSON by leveraging large language models for intelligent content parsing.
• Web Content Scrapers - Extract content from a single URL and convert it into structured formats like markdown to prepare raw data for use in downstream applications or processing pipelines.
• Web Search APIs - Retrieve relevant links and content based on natural language queries by executing search requests with configurable result limits to gather targeted information from across the internet.
• Web Data Connectors - Connect web crawling and scraping capabilities to AI agents and automation platforms by utilizing pre-built connectors and server-side tools for data ingestion.
• Web Data Pipelines - Connecting live web data sources to backend services and automation workflows using standardized APIs and protocols for consistent ingestion.
• Browser Automation Interfaces - Scrape a page, then interact with it using AI prompts or code. ```python from firecrawl import Firecrawl app = Firecrawl(api_key="fc-YOUR_API_KEY") result = app.scrape("https://amazon.com") scrape_id = result.metadata.sc
• Website Crawlers - Discover all URLs on a website instantly. ```bash curl -X POST 'https://api.firecrawl.dev/v2/map' \ -H 'Authorization: Bearer fc-YOUR_API_KEY' \ -H 'Content-Type: application/json' \ -d '{"url": "https://firecrawl.dev"}'
• Autonomous Web Crawlers - A recursive navigation service that maps site structures and traverses domains to aggregate comprehensive datasets from multiple interconnected pages.
• Distributed Crawling Infrastructures - A scalable architecture for executing large-scale web data collection tasks across private or managed environments with built-in concurrency and error management.
• Large-Scale Domain Crawlers - Systematically discovering and indexing entire domains to retrieve comprehensive datasets for training, analysis, or content migration projects.
• Web Crawlers - Crawl an entire website and get content from all pages. ```bash curl -X POST 'https://api.firecrawl.dev/v2/crawl' \ -H 'Authorization: Bearer fc-YOUR_API_KEY' \ -H 'Content-Type: application/json' \ -d '{ "url": "https:/
• Web Scraping APIs - Get LLM-ready data from any website — markdown, JSON, screenshots, and more. ```python from firecrawl import Firecrawl app = Firecrawl(api_key="fc-YOUR_API_KEY") result = app.scrape('firecrawl.dev') ``` <details> <summar
• Autonomous Research Agents - Retrieve structured data from target URLs by providing prompts and output schemas to automate complex research tasks without manual navigation.
• Headless Browser Orchestrators - Executes dynamic page rendering and interaction by controlling isolated browser instances to capture content from JavaScript-heavy web applications.
• Recursive Web Crawlers - Follow links up to a specified depth to retrieve structured data from multiple pages while automatically waiting for completion to ensure all content is captured.
• Batch Scrapers - Scrape multiple URLs at once: ```python from firecrawl import Firecrawl app = Firecrawl(api_key="fc-YOUR_API_KEY") job = app.batch_scrape([ "https://firecrawl.dev", "https://docs.firecrawl.dev", "https://firecrawl.dev/pr
• Batch Web Scrapers - Extract content from multiple web pages simultaneously by providing a list of URLs to convert unstructured web data into structured formats like markdown.
• Crawl API Endpoints - Crawl API Endpoint — a named example documented in this learning resource.
• Screenshot Capture Services - Scrape Screenshot Capability — a named example documented in this learning resource.
• Distributed Crawl Coordination - Scales web discovery across multiple nodes by partitioning URL frontiers and managing concurrency limits to ensure efficient site indexing.
• Model Context Protocol Integrations - Connect AI-powered clients to web data sources using a standardized protocol to facilitate seamless tool integration and real-time information retrieval.
• Asynchronous Job Queues - Manages long-running crawling and scraping tasks by decoupling request submission from execution via persistent background worker processes.
• Web Data Service Integrations - Connect web scraping and data cleaning tools to automation workflows and agentic frameworks using standardized protocols to ensure consistent data ingestion across diverse development environments.
• Agentic Browsing Interfaces - A programmatic layer that exposes web navigation and interaction capabilities to autonomous agents through standardized protocols and tool definitions.
• Stateful Session Persistence - Maintains browser context and authentication state across multiple interactions to enable complex navigation flows and multi-step web tasks.