# jackwener/wechat-article-to-markdown

微信公众号文章抓取 & Markdown 转换工具

Repository: https://github.com/jackwener/wechat-article-to-markdown
Canonical: https://ross.abutalabs.com/products/wechat-article-to-markdown
Language: Python
License Family: other
Last push: 2026-03-22T04:09:05+00:00

## Health v2 (maintenance only)
Score: 48/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 73, release rhythm 35, longevity 13
- inputs: {"age_days": 185, "days_push": 164, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1002, forks 117 (observed 2026-08-28T04:03:11.122758+00:00)

## What it is
A Python CLI tool that fetches WeChat Official Account articles using anti-detection browser automation (Camoufox) and converts them to clean Markdown with locally downloaded images. It also ships a SKILL.md so AI agents like Claude Code can invoke the workflow.

## Use cases
- download wechat official account articles as markdown
- convert wechat article html to markdown with images
- archive wechat mp articles locally
- scrape wechat articles bypassing detection
- extract wechat article metadata and code blocks
- let an ai agent fetch wechat articles

## When to choose
- you need WeChat article content in clean Markdown for notes, blogs, or RAG pipelines
- you want images downloaded locally with rewritten links
- you want an agent-usable skill for WeChat article fetching

## When to avoid
- you need bulk crawling of many accounts rather than per-article fetching
- you need a GUI or non-WeChat scraping
- you require a licensed, commercially-vetted dependency (no license file)

## Facets
- artifact type: cli-tool
- maturity: active
- function: web-scraping, markdown, parser, cli
- domain: crawlers, developer-tools, media
- platform: python, cli, cross-platform
- tags: wechat, markdown-conversion, anti-detection, camoufox, article-archiving, ai-agent-skill, natural-language-processing

## Member repositories
- jackwener/wechat-article-to-markdown (main) score 48

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:11.122758+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:14:00.586032+00:00, confidence not recorded.
  - readme: https://github.com/jackwener/wechat-article-to-markdown (fetched 2026-08-28T04:03:11.122758+00:00, sha 401f6d55de04)
  - registry_pypi: https://pypi.org/pypi/wechat-article-to-markdown/json (fetched 2026-08-29T13:13:55.811595+00:00, sha 6c072389e18e)
- Data as of 2026-08-30T08:39:29.467469+00:00.