WebScraping.AI MCP Server

Name: WebScraping.AI MCP Server
Author: webscraping-ai

@webscraping-ai

About WebScraping.AI MCP Server

A Model Context Protocol (MCP) server implementation that integrates with WebScraping.AI for web data extraction capabilities.

#scraping #web #http #html #parsing #extraction #data

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "WebScraping.AI": {
      "command": "npx",
      "args": [
        "-y",
        "webscraping-ai-mcp"
      ],
      "env": {
        "WEBSCRAPING_AI_API_KEY": "test-api-key"
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is WebScraping.AI MCP Server?

A Model Context Protocol (MCP) server that integrates with WebScraping.AI to provide web data extraction capabilities for LLM platforms like Claude. It enables AI agents to scrape, extract, and answer questions from web page content.

How to use WebScraping.AI MCP Server?

Run with npx -y webscraping-ai-mcp after setting the required WEBSCRAPING_AI_API_KEY environment variable. Configure in Cursor (.cursor/mcp.json) or Claude Desktop (claude_desktop_config.json) with optional settings like WEBSCRAPING_AI_CONCURRENCY_LIMIT (default 5) and WEBSCRAPING_AI_ENABLE_CONTENT_SANDBOXING. Tools are invoked via MCP tool calls.

Key features of WebScraping.AI MCP Server

Question answering about web page content
Structured data extraction from web pages
HTML content retrieval with JavaScript rendering
Plain text extraction from web pages
CSS selector-based content extraction
Multiple proxy types (datacenter, residential, stealth)
Content sandboxing to prevent prompt injection

Use cases of WebScraping.AI MCP Server

Answer specific questions from any public web page
Extract product details (title, price, description) from e‑commerce sites
Retrieve full HTML or visible text for content analysis
Scrape multiple page sections using CSS selectors
Monitor account usage and remaining API quota

FAQ from WebScraping.AI MCP Server

What configuration is required?

You must set the WEBSCRAPING_AI_API_KEY environment variable. Optional settings include concurrency limit, proxy type, JavaScript rendering, and content sandboxing.

What is content sandboxing?

When enabled (WEBSCRAPING_AI_ENABLE_CONTENT_SANDBOXING=true), scraped content is wrapped with security boundaries and a warning not to execute commands from that section, helping protect LLMs against indirect prompt injection.

What proxy types are available?

Three proxy types: datacenter, residential, and stealth. Residential is the default. Stealth is recommended for heavily protected sites but costs more.

How does the server handle errors?

It provides automatic retries for transient errors, rate limit handling with backoff, and returns detailed error messages (e.g., HTTP 429).

What transport does the server use?

The server connects via STDIO transport, configured as a command in MCP‑enabled platforms. Authentication is done through the API key passed as an environment variable.

Comments

More Other MCP servers

Awesome Mlops

visenger

A curated list of references for MLOps

14.0K

🚀 Model Context Protocol (MCP) Curriculum for Beginners

microsoft

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

16.7K