acey-arton/Firecrawl-MCP-Server
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The Firecrawl MCP Server is a robust tool designed for efficient web scraping and crawling, offering real-time data extraction with features like automatic retries and rate limiting.
Firecrawl MCP Server
This Model Context Protocol (MCP) server integrates with Firecrawl to offer advanced web scraping and crawling capabilities. Whether you're handling batch scraping, searching content, or performing deep research, this server is optimized for real-time data extraction with built-in features like automatic retries and rate limiting.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
If you are looking for Firecrawl MCP Server you've just found your team — Let's Chat. 👆👆
Introduction
The Firecrawl MCP Server leverages the power of the Model Context Protocol to facilitate efficient web scraping and discovery across the web. It supports both cloud-hosted and self-hosted configurations, and is designed for developers, automation experts, and researchers looking to build scalable, high-performance web crawlers.
What It Helps You Do
- Web Scraping & Crawling: Collect structured data from websites with minimal setup.
- Content Discovery: Automatically extract content or search specific data points from target websites.
- Batch Scraping: Run large-scale scraping tasks without worrying about retries or rate limits.
- Advanced Research: Deep research capabilities to explore sites and aggregate data.
Features
| Feature | Description |
|---|---|
| Web Scraping & Crawling | Supports both broad and targeted web scraping tasks. |
| Search & Content Extraction | Extracts relevant content based on defined search queries. |
| Batch Scraping | Collect large datasets through scheduled scraping. |
| Automatic Retries & Rate Limiting | Ensures smooth scraping by handling retries and respecting rate limits. |
| Cloud & Self-Hosted Support | Flexible deployment options for scaling and customization. |
| SSE Support | Real-time updates with Server-Sent Events (SSE) support for live data streaming. |
Directory Structure Tree
Firecrawl MCP Server/ ├── src/ │ ├── server.js │ ├── scraper/ │ │ ├── data_fetcher.js │ │ ├── content_extractor.js │ ├── utils/ │ │ ├── retry_manager.js │ │ └── rate_limiter.js │ └── config/ │ └── settings.example.json ├── package.json ├── README.md ├── LICENSE └── docs/
Use Cases
Developers set up scalable scraping systems using this MCP server for large datasets.
Researchers perform deep research by crawling multiple web pages for targeted content.
Data Analysts collect real-time structured data for reporting and analysis.
Marketing Teams gather competitor data, pricing information, or market insights.
Automation Platforms integrate this MCP server for automated data collection pipelines.
FAQs
How do I use the MCP server? You can quickly get started using npx for immediate runs, or install it manually for more flexibility.
What does the server handle automatically? The MCP server automatically retries failed scraping attempts and respects rate limits to avoid being blocked by websites.
Is it customizable? Yes, you can modify the server settings and use it in cloud or self-hosted environments depending on your needs.
What is SSE support? Server-Sent Events (SSE) support allows you to stream real-time updates from the server, perfect for monitoring scraping tasks live.
Performance Benchmarks and Results
Primary Metric: Handles large-scale web scraping tasks with near-zero downtime.
Reliability Metric: Above 98% success rate with retries and rate limiting functionality.
Efficiency Metric: Optimized for fast, bulk data collection with minimal latency.
Quality Metric: Consistently extracts clean, structured data with accurate real-time updates.