Scrapling
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl!
Scrapling is an MCP server that exposes a comprehensive web scraping framework for AI agents, enabling adaptive data extraction from websites. It handles everything from simple HTTP requests to full-scale crawls with anti-bot bypass, browser automation, and automatic element relocation when page structures change. The server provides AI assistants like Claude with tools to fetch pages, extract structured data, capture background API calls, and maintain persistent browser sessions across multiple requests.
Key Features
Use Cases
- 01AI agents extracting structured product data from e-commerce sites that frequently update their HTML layouts
- 02Automated competitive intelligence gathering from sites protected by Cloudflare or other anti-bot systems
- 03Building conversational assistants that scrape live data in response to user queries without manual scripting
- 04Large-scale crawling projects requiring concurrent multi-session execution with automatic checkpoint recovery
- 05API reverse-engineering by capturing background network requests while AI-driven tools interact with pages
- 06Dynamic content extraction from JavaScript-heavy sites using full browser automation controlled by AI
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Scrapling — FAQ
What is the Scrapling MCP server?+
The Scrapling MCP server is an integration that lets AI assistants like Claude use the Scrapling web scraping framework through the Model Context Protocol. It provides tools for fetching pages, extracting data with CSS/XPath selectors, capturing network traffic, taking screenshots, and managing persistent browser sessions—all controllable by the AI without writing separate scraping scripts.
How do I install and connect Scrapling MCP server?+
Install Scrapling via pip (requires Python 3.10+), then configure your MCP client (Claude Desktop, Cursor, etc.) to reference the Scrapling MCP server script. For browser-based fetchers, you may need to install Playwright browsers. Detailed setup instructions are available in the official Scrapling documentation under the MCP section.
Which AI clients work with Scrapling MCP server?+
Scrapling MCP server works with any client supporting the Model Context Protocol, including Claude Desktop, Cursor, Cline, and other MCP-compatible environments. The server has been demonstrated working with Claude for AI-assisted web scraping tasks.
Do I need API keys or proxies to use Scrapling?+
No API keys are required for basic usage—Scrapling works out of the box for HTTP requests and browser automation. For bypassing advanced bot protections or scraping at scale, you may optionally configure proxies (with built-in rotation support). The server itself is free and open source.
Can Scrapling bypass Cloudflare and other anti-bot protections?+
Yes, Scrapling's StealthyFetcher can automatically solve Cloudflare Turnstile challenges and bypass interstitial pages using browser fingerprint spoofing, stealth mode, and optional CAPTCHA solving. For enterprise protections like Akamai or DataDome, the documentation references third-party API integrations.
Is Scrapling MCP server free to use?+
Yes, Scrapling is open source and free under its license. The MCP server and all core features (parsing, fetching, spiders, anti-bot bypass) are included at no cost. Third-party services like proxy providers or advanced CAPTCHA solvers may have separate pricing.
How do I install Scrapling?+
Open the source repository on GitHub and follow its README. Scrapling is a mcp server — MCP Agents Market links you directly to the official repo.
Is Scrapling free?+
Scrapling is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.