wechat-article-extractor
Extract metadata and content from WeChat Official Account articles. Use when user needs to parse WeChat article URLs (mp.weixin.qq.com), extract article info (title, author, content, publish time, cover image), or convert WeChat articles to structured data. Supports various article types including posts, videos, images, voice messages, and reposts.
Best use case
wechat-article-extractor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Extract metadata and content from WeChat Official Account articles. Use when user needs to parse WeChat article URLs (mp.weixin.qq.com), extract article info (title, author, content, publish time, cover image), or convert WeChat articles to structured data. Supports various article types including posts, videos, images, voice messages, and reposts.
Teams using wechat-article-extractor 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/wechat-article-extractor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How wechat-article-extractor Compares
| Feature / Agent | wechat-article-extractor | 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?
Extract metadata and content from WeChat Official Account articles. Use when user needs to parse WeChat article URLs (mp.weixin.qq.com), extract article info (title, author, content, publish time, cover image), or convert WeChat articles to structured data. Supports various article types including posts, videos, images, voice messages, and reposts.
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 Extractor
Extract metadata and content from WeChat Official Account (微信公众号) articles.
## Quick Start 🚀
### Command Line Usage (Recommended)
The easiest way to use this skill is via the CLI command:
```bash
# Basic usage - extracts and saves as markdown
npx wechat-article-extractor https://mp.weixin.qq.com/s/xxx
# Specify output path
npx wechat-article-extractor https://mp.weixin.qq.com/s/xxx --output ./articles/post.md
# Output JSON format
npx wechat-article-extractor https://mp.weixin.qq.com/s/xxx --json
# Show help
npx wechat-article-extractor --help
```
### Programmatic Usage
```javascript
const { extract } = require('./scripts/extract.js');
const result = await extract('https://mp.weixin.qq.com/s?__biz=...');
if (result.done) {
console.log(result.data.msg_title);
console.log(result.data.msg_content);
}
```
## Capabilities
- Parse WeChat article URLs (`mp.weixin.qq.com`)
- Extract article metadata: title, author, description, publish time
- Extract account info: name, avatar, alias, description
- Get article content (HTML)
- Get cover image URL
- Support multiple article types: post, video, image, voice, text, repost
- Handle various error cases: deleted content, expired links, access limits
## CLI Options
| Option | Description | Default |
|--------|-------------|---------|
| `<URL>` | WeChat article URL | Required |
| `--output <path>` | Output file path | `./wechat-article.md` |
| `--format <format>` | Output format (markdown\|json\|html) | `markdown` |
| `--json` | Output JSON format | false |
| `-h, --help` | Show help | - |
### Examples
```bash
# Extract article and save to custom location
npx wechat-article-extractor https://mp.weixin.qq.com/s/xxx --output ./my-article.md
# Get JSON output for processing
npx wechat-article-extractor https://mp.weixin.qq.com/s/xxx --json > article.json
# From within the skill directory
npm run extract https://mp.weixin.qq.com/s/xxx
```
## Usage in Scripts
### Basic Extraction from URL
```javascript
const { extract } = require('./scripts/extract.js');
const result = await extract('https://mp.weixin.qq.com/s?__biz=...');
// Returns: { done: true, code: 0, data: {...} }
```
### Extraction from HTML
```javascript
const html = await fetch(url).then(r => r.text());
const result = await extract(html, { url: sourceUrl });
```
### Advanced Options
```javascript
const result = await extract(url, {
shouldReturnContent: true, // Return HTML content (default: true)
shouldReturnRawMeta: false, // Return raw metadata (default: false)
shouldFollowTransferLink: true, // Follow migrated account links (default: true)
shouldExtractMpLinks: false, // Extract embedded mp.weixin links (default: false)
shouldExtractTags: false, // Extract article tags (default: false)
shouldExtractRepostMeta: false // Extract repost source info (default: false)
});
```
## Response Format
### Success Response
```javascript
{
done: true,
code: 0,
data: {
// Account info
account_name: "公众号名称",
account_alias: "微信号",
account_avatar: "头像URL",
account_description: "功能介绍",
account_id: "原始ID",
account_biz: "biz参数",
account_biz_number: 1234567890,
account_qr_code: "二维码URL",
// Article info
msg_title: "文章标题",
msg_desc: "文章摘要",
msg_content: "HTML内容",
msg_cover: "封面图URL",
msg_author: "作者",
msg_type: "post", // post|video|image|voice|text|repost
msg_has_copyright: true,
msg_publish_time: Date,
msg_publish_time_str: "2024/01/15 10:30:00",
// Link params
msg_link: "文章链接",
msg_source_url: "阅读原文链接",
msg_sn: "sn参数",
msg_mid: 1234567890,
msg_idx: 1
}
}
```
### Error Response
```javascript
{
done: false,
code: 1001,
msg: "无法获取文章信息"
}
```
## Error Codes
| Code | Message | Description |
|------|---------|-------------|
| 1000 | 文章获取失败 | General failure |
| 1001 | 无法获取文章信息 | Missing title or publish time |
| 1002 | 请求失败 | HTTP request failed |
| 1003 | 响应为空 | Empty response |
| 1004 | 访问过于频繁 | Rate limited |
| 1005 | 脚本解析失败 | Script parsing error |
| 1006 | 公众号已迁移 | Account migrated |
| 2001 | 请提供文章内容或链接 | Missing input |
| 2002 | 链接已过期 | Link expired |
| 2003 | 内容涉嫌侵权 | Content removed (copyright) |
| 2004 | 无法获取迁移后的链接 | Migration link failed |
| 2005 | 内容已被发布者删除 | Content deleted by author |
| 2006 | 内容因违规无法查看 | Content blocked |
| 2007 | 内容发送失败 | Failed to send |
| 2008 | 系统出错 | System error |
| 2009 | 不支持的链接 | Unsupported URL |
| 2010 | 内容获取失败 | Content fetch failed |
| 2011 | 涉嫌过度营销 | Marketing/spam content |
| 2012 | 账号已被屏蔽 | Account blocked |
| 2013 | 账号已自主注销 | Account deleted |
| 2014 | 内容被投诉 | Content reported |
| 2015 | 账号处于迁移流程中 | Account migrating |
| 2016 | 冒名侵权 | Impersonation |
## Dependencies
Required npm packages:
- `cheerio` - HTML parsing
- `dayjs` - Date formatting
- `request-promise` - HTTP requests
- `qs` - Query string parsing
- `lodash.unescape` - HTML entities
## Notes
- Handles various WeChat page structures and anti-scraping measures
- Automatically detects article type from page content
- Supports extracting from Sogou WeChat search results (`weixin.sogou.com`)
- Some fields may be null depending on article type and page structure
## Troubleshooting
### "MODULE_NOT_FOUND" error
Ensure you're running the command from within the skill directory or using `npx`:
```bash
cd C:\Users\xsl\.agents\skills\wechat-article-extractor
npm run extract <URL>
```
### "访问过于频繁" error
Wait a few minutes before trying again. This is WeChat's rate limiting.
### Link expired
If you see "链接已过期", the article has been removed by the author or platform.Related Skills
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