wechat-article-fetch

To extract WeChat article content into Markdown, this Skill uses Playwright for web scraping and Node.js for file operations, requiring no manual copying. It automatically saves articles as Markdown files for archiving and knowledge management.

Automating WeChat article archiving is best handled by extracting titles, text, and images directly into Markdown format. This Skill eliminates manual copy-pasting, producing readable Markdown files for organized knowledge management.

Yes, you need Node.js and Playwright installed to run this WeChat article scraper. The Skill relies on Playwright for browser automation and web scraping, alongside Node.js to perform the file saving operations.

Yes, you can save images alongside text when extracting WeChat articles to Markdown. The automated extraction process captures content, titles, and images from the articles before saving them in the Markdown format.

You run the extraction script by executing the Node.js fetch.js file with Playwright browser paths configured, passing the article ID and output file path as arguments to save the Markdown file.