Extracts clean, readable text from web URLs by removing advertisements, navigation menus, and distractions.
The Article Extractor skill provides a streamlined way to capture web content directly into your workspace by stripping away clutter like ads, newsletter popups, and sidebar navigation. It utilizes advanced extraction algorithms from Mozilla's Readability and Trafilatura to ensure high-quality text output while automatically handling metadata like article titles for organized file naming. Whether you are building a local knowledge base or researching technical documentation, this skill ensures you get the core content without the noise of the modern web.
Key Features
0116 GitHub stars
02Support for multiple high-performance engines like Mozilla Readability and Trafilatura
03Built-in Python fallback method for zero-dependency environments
04Smart filtering of navigation, social buttons, and cookie notices
05Clutter-free content extraction from blogs, news, and tutorials
06Automated title detection and filesystem-safe filename generation
Use Cases
01Automating the collection of research materials into a structured knowledge base
02Downloading technical articles to a local repository for offline documentation
03Extracting clean text from URLs to provide as context for AI analysis or summarization
