qiye45/wechatdownload

微信公众号文章批量下载工具,支持评论、合集下载,支持保存html/mhtml/md/pdf/docx/csv文件,保存文章内图片、视频、音频文件,支持MCP/Skill调用

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Summary Information

Updated 52 minutes ago
Added to GitGenius on September 7th, 2026
Created on August 2nd, 2023
Open Issues & Pull Requests: 10 (+0)
GitHub issues: Enabled
Number of forks: 1,020
Total Stargazers: 9,267 (+0)
Total Subscribers: 59 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 18.3 hours
Mean response time: 4.8 days
90th percentile: 12.7 days
Tracked items: 362

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 22% of issues opened in the past year have been closed. Three people close 94% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 7
New in 7 days: 0
Closed in 7 days: 1
Avg open age: 215 days
Stale 30+ days: 2
Stale 90+ days: 2

Recent activity

Opened in 7 days: 0
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • finish (28)
  • enhancement (2)
  • good first issue (2)
  • bug (1)
  • later (1)

Most active issues this week

Detailed Description

wechatdownload is a batch downloader tool for WeChat official account articles that runs on Windows and macOS without requiring certificate installation.

The tool solves the problem of archiving WeChat public account content by automating retrieval and conversion of articles into multiple formats. It works by extracting a public account ID from an article link, then using WeChat's internal browser to obtain an authentication key, after which it can download articles along with their associated media. The tool supports saving articles as HTML, MHTML, Markdown, PDF, DOCX, or CSV files, and can preserve embedded images, videos, and audio. It also handles comments, article collections, and keyword filtering.

The tool suits users who need to archive or analyze WeChat public account content at scale. It is designed for Windows and macOS environments and requires interaction with WeChat's mobile app to complete the authentication flow. The README emphasizes that downloaded content should be used only for learning and study purposes and deleted within 24 hours, with a recommendation to support original creators by viewing content on official platforms.

The project shows active maintenance with regular updates addressing specific failure modes. Recent work has focused on fixing issues with plain-text articles, improving key retrieval speed, and expanding format support. The tool has added integrations for MCP and Skill protocol calls, enabling programmatic access to download, ID retrieval, and batch operations. Updates have also introduced features like article highlighting preservation, nested comment image downloads, and comment reply display alongside ongoing bug fixes for edge cases in image, video, and collection downloads.