连接
Amazon Q Web Scraper icon

Amazon Q Web Scraper

byJMRMEDEV
0
开发者工具
网络抓取与数据收集
Mobile Development

Provides a professional Model Context Protocol (MCP) server for universal web scraping, robust React app testing, and deep React Native web application inspection.

关于

This Model Context Protocol (MCP) server is engineered for comprehensive web interaction, offering powerful capabilities for universal web scraping, thorough React application testing, and in-depth inspection of React Native web apps. It ensures full backward compatibility with traditional websites and standard React frameworks while introducing advanced features for modern web development, including mobile viewport emulation, component tree analysis, and intelligent selector strategies. Designed for reliability and performance, it streamlines web data extraction and application quality assurance across diverse web environments.

主要功能

  • Enhanced React & React Native Web Support: Offers smart hydration detection, deep component inspection, and mobile gesture simulation for all React applications.
  • Development & Debugging Tools: Includes Expo development integration, framework detection, performance monitoring, and enhanced error reporting.
  • Clean Content Extraction: Extracts structured, readable content from web pages, preserving headings, links, and code blocks, suitable for documentation.
  • Intelligent Selector Strategy: Automatically falls back from standard CSS selectors to TestID, aria-label, and accessibilityLabel for robust element targeting.
  • 0 GitHub stars
  • Universal Web Scraping: Supports multi-browser scraping of any website (HTML, React, React Native web) with mobile viewport and device emulation.

使用案例

  • Automated Web Scraping: Efficiently extracts data from any website, from traditional HTML pages to complex React and React Native web applications.
  • React Application Testing: Facilitates comprehensive testing of login flows, form submissions, and user interactions on both standard React and React Native web apps.
  • Content Curation & Analysis: Extracts clean, categorized content and links from articles and documentation for analysis, archiving, or repurposing.