Best for
- Users who need AI-assisted web data extraction
- Python web-scraping and automation developers
- Projects requiring browsers, sessions, proxy rotation, or adaptive selectors
I
io.github.D4Vinci/Scrapling
Official
Web scraping MCP server with stealth requests, real browsers, and adaptive selectors
GitHub source repository ↗
52FMRS · D
An official MCP server included in the upstream Scrapling repository. Version 0.4.12 uses stdio transport and targets AI-assisted web scraping and data extraction. It is distributed through PyPI and OCI packages; the source provides no named tools or client compatibility list.
Scrapling MCP Server supports AI-assisted web scraping and data extraction with stealth HTTP requests, real browsers, Playwright, Cloudflare Turnstile bypass, and CSS selectors. The underlying framework supports tasks ranging from single requests to full-scale crawls, adaptive element tracking, XPath, and session management.
Tools
The tool list has not been reviewed yet.
Setup
Run the PyPI package scrapling with uvx and pass the fixed argument mcp. An OCI package, ghcr.io/d4vinci/scrapling, is also available with the mcp argument. The server communicates over stdio.
Fit and risk
Not for
- Local data processing that does not access external websites
- Workflows limited to static files or cloud-storage operations
- Use cases without lawful scraping permission or without adherence to website terms and robots.txt
Required permissions
- Access to target websites and permission to send HTTP requests or launch browsers
- Depending on proxy, session, or browser features, corresponding network and local runtime permissions may be required
- The source does not specify account authentication or particular API credentials
Risks and side effects
- Scraping may violate website terms of service, privacy regulations, or applicable data-collection laws
- Stealth requests, browser automation, and Cloudflare bypass may trigger website security controls
- Proxies, cookies, session state, and scraped content may contain sensitive information
- High-concurrency or large-scale crawling may impose load on target websites
Troubleshooting
- Confirm that scrapling and the MCP-related dependencies are installed
- Confirm that the client supports stdio MCP servers
- When using browser or fetching features, install browser dependencies with scrapling install
- Check that the target URL and CSS or XPath selectors are valid
- If requests are blocked, check proxies, sessions, stealth settings, robots.txt, and target-site restrictions
Use cases
Extract structured data from web pages
Scrape JavaScript-rendered websites
Locate content with CSS or XPath selectors
Handle websites with anti-bot protections
Run tasks ranging from single-page requests to concurrent crawls
Supported clients
Supported clients have not been confirmed yet.