moore-developers/moore-wechat-article-downloader

This project is a local tool that turns WeChat official account articles you have already read into a lasting, searchable research library instead of scattered browsing history. It is built to install as a skill inside Codex or Claude Code, so once it is set up, a person interacts with it just by describing what they want in plain language, rather than learning command line flags. The tool syncs articles from WeChat official accounts a user follows, saving the article text and images, along with featured comments and engagement numbers like views, likes, and reactions when the page happens to expose that data. Everything is written to structured local files: Markdown for the article text, images alongside them, a CSV index, and a SQLite database that tracks accounts, articles, downloads, and interaction data over time. All of this lives on the user's own machine rather than in any cloud service the project runs itself. Several usage patterns are supported. A person can ask it to sync the newest articles from followed accounts, pull and analyze a batch of articles from one specific account to judge whether that account is worth following long term, or import a scattered list of article links from chat history or a file into the local library. There is also a live capture mode: while reading an article inside the WeChat desktop app on a Mac, a user can save the article, whatever comments have already loaded, and the interaction numbers currently shown on the page, directly into the library. The README is direct about what the tool does not do. It only works with articles the user can already access publicly, it does not bypass logins or paywalls, and it cannot guarantee capturing every comment or full reply threads, since comments and engagement data depend on a short lived WeChat session and may be missing on some articles. It does not print or share sensitive session tokens, and it offers no hosted or cloud version of the service. Running it needs Python 3, and the live capture and proxy history features specifically require the WeChat desktop app, a local certificate, and mitmproxy, currently limited to macOS. The project is released under the MIT license.