Ross ROSS = Recommend OSS · open-source software intelligence for agents

1061700625/WeChat_Article

爬取微信公众号文章 observed · 2026-08-28

github.com/1061700625/WeChat_Article · homepage · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

62/100

  • Activity 88
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2750
  • days_rel: 558
  • days_push: 77
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

1075 stars · 186 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyQt5 desktop application that crawls and downloads all articles from a specified WeChat official account. It uses Selenium to log in and obtain tokens/cookies, then downloads article text, images, HTML, and PDF versions with multi-threading and resume support.

Use cases

  • download all articles from a wechat official account
  • scrape wechat公众号 articles to pdf
  • backup wechat official account articles locally
  • download wechat article images and html
  • crawl wechat articles by keyword or date range
  • export wechat articles as txt files

When to choose

  • you need a GUI tool to bulk-download a WeChat official account's articles
  • you want articles saved as txt, html with local images, or pdf
  • you need date-range or keyword filtering with resume support

When to avoid

  • you need a headless server-side scraper without a GUI
  • you cannot register a free WeChat official account for token access
  • you need a maintained web-based alternative instead of a desktop app

Facets

application · maturity active

web-scraping gui pdf image-processing crawlers messaging-platforms media python cross-platform wechat-official-account selenium pyqt5 article-downloader scraper automation desktop

2 sources

Member repositories

RepositoryRoleHealth v2
1061700625/WeChat_Articlemain62

For agents

markdown · JSON · MCP: product_card(name="1061700625/WeChat_Article")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem