Extracts clean, distraction-free text content from web articles and blog posts for easy reading and local storage.
The Article Extractor skill empowers Claude to strip away web clutter—including advertisements, navigation menus, and newsletter pop-ups—from any URL to retrieve the core written content. By leveraging industry-standard tools like Mozilla's Readability algorithm and Trafilatura, it converts complex HTML pages into well-structured, readable text files automatically named after the article's title. This skill is essential for developers and researchers who need to archive documentation, study tutorials offline, or build clean text-based knowledge bases without visual distractions.
Key Features
01Automatic removal of ads, navigation sidebars, and cookie notices
02Distraction-free extraction using Mozilla Readability or Trafilatura algorithms
03Multi-tool fallback logic to ensure extraction success across different site structures
04Instant content previewing for immediate verification of extraction quality
05Intelligent filename generation based on sanitized article titles
061 GitHub stars
Use Cases
01Archiving blog posts and news articles without visual noise or ads
02Converting online technical documentation into local text files for persistent reference
03Gathering clean text datasets from the web for research or knowledge base compilation
