weixin-fetch
Use this skill when users want to fetch WeChat (微信公众号) articles and convert them to clean Markdown. Handles workflows like "抓取微信文章", "Fetch this WeChat article", "保存公众号文章". Uses Playwright-based browser automation with anti-bot bypass for reliable WeChat content extraction.
Best use case
weixin-fetch is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use this skill when users want to fetch WeChat (微信公众号) articles and convert them to clean Markdown. Handles workflows like "抓取微信文章", "Fetch this WeChat article", "保存公众号文章". Uses Playwright-based browser automation with anti-bot bypass for reliable WeChat content extraction.
Teams using weixin-fetch should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/weixin-fetch/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How weixin-fetch Compares
| Feature / Agent | weixin-fetch | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use this skill when users want to fetch WeChat (微信公众号) articles and convert them to clean Markdown. Handles workflows like "抓取微信文章", "Fetch this WeChat article", "保存公众号文章". Uses Playwright-based browser automation with anti-bot bypass for reliable WeChat content extraction.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# WeChat Article Fetcher (微信文章抓取) Fetch WeChat (微信公众号) articles and convert to clean Markdown using Playwright browser automation. ## Features - Real Chromium browser to bypass WeChat anti-bot protections - Automatic lazy-loaded image handling (data-src → src) - Auto-generated filename from publish date + title (YYYYMMDD format) - Metadata extraction (author, publish time) - Clean Markdown output with preserved images ## Dependencies ```bash pip install playwright markdownify playwright install chromium ``` ## Usage ```bash # Auto-generate filename (YYYYMMDD+Title format) python scripts/fetch_weixin.py "https://mp.weixin.qq.com/s/xxxxx" # Custom filename python scripts/fetch_weixin.py "https://mp.weixin.qq.com/s/xxxxx" article.md ``` ## Response Pattern When user requests WeChat article fetching: 1. **Validate URL**: Ensure it's a WeChat URL (`mp.weixin.qq.com`) 2. **Execute fetching:** ```bash python scripts/fetch_weixin.py <url> [output_filename] ``` Output filename is optional - auto-generates as YYYYMMDD+Title 3. **Report results:** - Confirm file saved with statistics (characters, words, images) - Show the auto-generated filename ## Example Workflows ### Auto-generated filename ```bash # User: "抓取这篇微信文章" python scripts/fetch_weixin.py "https://mp.weixin.qq.com/s/xxxxx" # Result: # ✓ Saved: 20251214关于财政政策和货币政策的关系.md # ✓ Statistics: 12,345 characters, 8,234 words, 5 images ``` ### Custom filename ```bash # User: "Fetch this WeChat article, save as economy.md" python scripts/fetch_weixin.py "https://mp.weixin.qq.com/s/xxxxx" economy.md # Result: # ✓ Saved: economy.md ``` ## Troubleshooting | Issue | Solution | |-------|----------| | WeChat blocked | Script uses real browser to bypass anti-bot | | Timeout | Script has 60s timeout with retry - usually succeeds on second attempt | | Playwright not installed | Run: `pip install playwright && playwright install chromium` | | Empty content | Wait for page to fully load; check if article is still accessible | | Missing images | Script auto-converts lazy-loaded images; check network connectivity |
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