Wechat Article Extractor

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:

# 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

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

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.

Link expired

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