This MCP server facilitates web data extraction tasks with capabilities like structured data retrieval, HTML content with JS rendering, and content targeting through CSS selectors, supporting multiple proxies and device emulation.
Added on:
Created by:
Apr 17 2025
This MCP server facilitates web data extraction tasks with capabilities like structured data retrieval, HTML content with JS rendering, and content targeting through CSS selectors, supporting multiple proxies and device emulation.
Added on:
Created by:
Apr 17 2025
WebScraping.AI
Featured
What is WebScraping.AI MCP Server?
The WebScraping.AI MCP Server is a comprehensive solution enabling efficient web data extraction and processing. It supports functions such as question answering about webpage content, structured data extraction, full HTML retrieval with JavaScript rendering, and plain text scraping. The platform allows customization with different proxy types, device emulation, and JavaScript execution settings. It integrates seamlessly with LLMs through the Model Context Protocol, making it suitable for developers, data analysts, and AI applications that require automated and scalable web scraping capabilities. Its robust error handling, concurrency management, and flexible configuration cater to diverse web scraping needs, from simple content extraction to complex data mining projects.
Who will use WebScraping.AI MCP Server?
- Developers working on web scraping tools
- Data analysts requiring web data collection
- AI application developers integrating web data
- Research professionals performing web content analysis
How to use the WebScraping.AI MCP Server?
- Step1: Clone the repository from GitHub and install dependencies
- Step2: Configure your environment variables, especially your WebScraping.AI API key
- Step3: Run the server locally using npm start or npx command
- Step4: Use the available tools such as question, fields, html, or text to perform web data extraction tasks
- Step5: Customize settings like proxy type, device emulation, and JS rendering as needed
- Step6: Integrate the MCP server with your LLM or automation workflow
WebScraping.AI MCP Server's Core Features & Benefits
The Core Features
- Question answering about web pages
- Structured data extraction
- HTML content retrieval with JavaScript rendering
- Plain text extraction
- CSS selector-based content targeting
- Proxy management with country selection
- Device emulation for desktop, mobile, tablet
- Concurrency and rate limiting support
- Custom JavaScript execution
- Account usage monitoring
The Benefits
- Enables detailed web data extraction for varied use cases
- Supports dynamic web pages with JavaScript rendering
- Flexible proxy and device emulation for targeted scraping
- Seamless integration with large language models
- Robust error handling and request management
WebScraping.AI MCP Server's Main Use Cases & Applications
- Automated market research through web page content analysis
- E-commerce price and product data scraping
- Content monitoring and change detection on multiple websites
- Research data collection from academic or news sites
- Integration into AI workflows for real-time data retrieval
FAQs of WebScraping.AI MCP Server
Developer
- webscraping-ai
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