Web Content Fetcher

About

Web Content Fetcher streamlines the process of extracting information from the internet by converting complex web pages into readable, structured Markdown. It features specialized logic for general websites using crawl4ai and dedicated handling for WeChat (微信公众号) articles, ensuring that lazy-loaded images and metadata are correctly preserved. By automatically removing clutter like navigation bars, ads, and footers, this skill provides a clean data source that is ready for immediate use in documentation, summarization, or large language model workflows.

Key Features

• Automatic noise removal for headers, footers, and sidebars
• Crawl4ai integration for high-quality web scraping
• Image preservation with automated alt text mapping
• 0 GitHub stars
• Specialized WeChat article fetching with metadata extraction
• UTF-8 encoded Markdown output ready for downstream processing

Use Cases

• Converting online articles and documentation into clean Markdown for offline archival
• Automating the collection of web-based data for summarizing multiple sources at once
• Extracting content from WeChat Official Accounts for translation or analysis