article-extractor

To extract article text from a URL, the skill processes the link using a prioritized toolkit to remove ads and navigation, producing clean, readable text saved as a .txt file. It also generates a title-based filename and a text preview for verification.

The best way to save web content for offline reading is extracting the main article body and removing clutter. This skill pulls the readable text from URLs and stores it as a clean .txt file, making it suitable for archiving long-form posts or research without distractions.

Text extraction works on blog posts, tutorials, and news URLs where removing clutter and navigation is necessary. It processes these web pages by applying a prioritized toolkit, including reader, trafilatura, or a curl-based fallback, to isolate the main article content.

Title-based file naming works by deriving a suitable filename directly from the extracted article title. This ensures your saved .txt files are organized logically, making it easier to manage and retrieve archived web content for later reading or research.

If the primary text extraction backend fails, the skill applies a lightweight curl-based fallback to parse the web page. This prioritized toolkit approach ensures you still get a preview and saved text file even when standard content scraping methods encounter issues.

No dependencies are required to start extracting clean text from web articles. The skill handles the content scraping internally by utilizing its built-in prioritized toolkit, allowing you to simply provide an article URL and request the text extraction.