WeChat Article Extract

Use this skill to extract a public WeChat Official Account article into portable Markdown or JSON. It is intentionally local and generic: it does not require the user's Feishu, knowledge-base profile, database, or API keys.

Quick Start

Run the bundled script from the skill directory:

python3 scripts/extract_wechat_article.py "https://mp.weixin.qq.com/s/..." --format markdown --output article.md
python3 scripts/extract_wechat_article.py "https://mp.weixin.qq.com/s/..." --format json --output article.json

For an HTML file already saved from a browser:

python3 scripts/extract_wechat_article.py --html-file article.html --source-url "https://mp.weixin.qq.com/s/..." --format markdown

Workflow

1. Confirm the input is a public https://mp.weixin.qq.com/s/... article URL or a saved HTML file. Private drafts, logged-in backend pages, and non-WeChat URLs are out of scope.
2. Extract with scripts/extract_wechat_article.py.
3. If network fetching fails because WeChat blocks the request, ask the user to save the article HTML from a browser and rerun with --html-file.
4. Use Markdown for human-readable archives and JSON for downstream import pipelines.
5. Keep copyright boundaries: summarize or transform extracted content when sharing externally; do not republish full articles unless the user has rights to do so.

Outputs

Markdown output contains:

• article title, account name, publish time, source URL, and image count
• full text with blank-line paragraph separation
• tables converted to Markdown tables when possible
• inline image placeholders like [[WECHAT_IMAGE_1]]
• image URL list at the end

JSON output contains:

• articleId
• title
• author
• publishTime
• sourceUrl
• content
• contentWithImageMarkers
• imageEntries
• imageUrls
• imageCount
• coverImageUrl

Notes

• The script uses only the Python standard library.
• It preserves image positions with markers but does not download images by default.
• Add --download-images \x3Cdir> when the user explicitly wants local image files.
• WeChat article pages change over time; if live extraction fails, saved HTML is the most reliable fallback.