wechat-article-to-md

WeChat article conversion to Markdown automatically fetches the article URL and parses HTML to extract title, author, and body text. It renders headings, paragraphs, lists, quotes, inline formatting, links, code blocks, and separators into structured Markdown.

Yes, the tool supports an Obsidian mode that downloads images via requests and rewrites their references using an Obsidian-friendly attachments/img lookup strategy. This makes the Markdown output immediately usable in your Obsidian vault.

The Markdown conversion handles embedded videos by inserting a note for video iframes. Since Markdown cannot display iframes directly, it generates a placeholder so you know exactly where the video was located in the original article.

The best way to scrape WeChat post content into local files is to use a Python script with requests and BeautifulSoup. This fetches the page, extracts metadata and body, downloads local images, and renders the text into structured Markdown.

Yes, you need Python and BeautifulSoup to parse WeChat articles. The conversion relies on the beautifulsoup4 library to parse the fetched HTML page and extract the structured content before rendering it into Markdown.