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Wechat Article Extractor Agent Skill

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.

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
130
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/theneoai/awesome-skills --skill wechat-article-extractor

The instruction itself

21 sections, as written by the author

WeChat Article Extractor

Extract metadata and content from WeChat Official Account (微信公众号) articles.

Quick Start 🚀

The easiest way to use this skill is via the CLI command:

# 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

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

# 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

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

const html = await fetch(url).then(r => r.text());
const result = await extract(html, { url: sourceUrl });

Advanced Options

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

{
  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

{
  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:

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.

If you see "链接已过期", the article has been removed by the author or platform.

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How to use it

Copy the folder

Take theneoai/wechat-article-extractor from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npx. Without those the skill loads but fails at the first command.