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Scrapling Fetch

Enables AI to access text content from websites protected by bot detection mechanisms through three protection levels (b...

Created byApr 23, 2025

Scrapling Fetch MCP

An MCP server that helps AI assistants access text content from websites that implement bot detection, bridging the gap between what you can see in your browser and what the AI can access.

Intended Use

This tool is optimized for low-volume retrieval of documentation and reference materials (text/HTML only) from websites that implement bot detection. It has not been designed or tested for general-purpose site scraping or data harvesting.
Note: This project was developed in collaboration with Claude Sonnet 3.7, using LLM Context.

Installation

  1. Requirements:
  1. Install dependencies and the tool:

Setup with Claude

Add this configuration to your Claude client's MCP server configuration:

Available Tools

This package provides two distinct tools:
  1. s-fetch-page: Retrieves complete web pages with pagination support
  1. s-fetch-pattern: Extracts content matching regex patterns with surrounding context

Example Usage

Fetching a Complete Page

Extracting Specific Content with Pattern Matching

Functionality Options

  • Protection Levels:
  • Content Targeting Options:

Tips for Best Results

  • Start with basic mode and only escalate to higher protection levels if needed
  • For large documents, use the pagination parameters with s-fetch-page
  • Use s-fetch-pattern when looking for specific information on large pages
  • The AI will automatically adjust its approach based on the site's protection level

Limitations

  • Designed only for text content: Specifically for documentation, articles, and reference materials
  • Not designed for high-volume scraping or data harvesting
  • May not work with sites requiring authentication
  • Performance varies by site complexity

License

Apache 2

Scrapling Fetch MCP

An MCP server that helps AI assistants access text content from websites that implement bot detection, bridging the gap between what you can see in your browser and what the AI can access.

Intended Use

This tool is optimized for low-volume retrieval of documentation and reference materials (text/HTML only) from websites that implement bot detection. It has not been designed or tested for general-purpose site scraping or data harvesting.
Note: This project was developed in collaboration with Claude Sonnet 3.7, using LLM Context.

Installation

  1. Requirements:
  1. Install dependencies and the tool:

Setup with Claude

Add this configuration to your Claude client's MCP server configuration:

Available Tools

This package provides two distinct tools:
  1. s-fetch-page: Retrieves complete web pages with pagination support
  1. s-fetch-pattern: Extracts content matching regex patterns with surrounding context

Example Usage

Fetching a Complete Page

Extracting Specific Content with Pattern Matching

Functionality Options

  • Protection Levels:
  • Content Targeting Options:

Tips for Best Results

  • Start with basic mode and only escalate to higher protection levels if needed
  • For large documents, use the pagination parameters with s-fetch-page
  • Use s-fetch-pattern when looking for specific information on large pages
  • The AI will automatically adjust its approach based on the site's protection level

Limitations

  • Designed only for text content: Specifically for documentation, articles, and reference materials
  • Not designed for high-volume scraping or data harvesting
  • May not work with sites requiring authentication
  • Performance varies by site complexity

License

Apache 2