scrapling-fetch-mcp
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Scrapling Fetch MCP is an MCP server designed to help AI assistants access text content from websites with bot detection.
Scrapling Fetch MCP is a specialized server that enables AI systems to retrieve text content from websites that employ bot detection mechanisms. It is particularly optimized for low-volume retrieval of documentation and reference materials, focusing on text and HTML content. The tool is not intended for general-purpose site scraping or data harvesting. Developed in collaboration with Claude Sonnet 3.7, Scrapling Fetch MCP leverages LLM Context to bridge the gap between browser-visible content and AI-accessible data. It offers different protection levels to handle various site complexities and provides tools for fetching entire pages or extracting specific content using regex patterns.
Features
- Optimized for low-volume retrieval of documentation and reference materials.
- Supports different protection levels for handling various site complexities.
- Provides tools for fetching complete web pages and extracting content with regex patterns.
- Designed specifically for text and HTML content.
- Not intended for high-volume scraping or data harvesting.
Tools
s-fetch-page
Search the complete web page, support pagination
s-fetch-pattern
Extract content and its surrounding context that matches the regular expression pattern
