wechat-article-extractor

name: wechat-article-extractor description: 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.

WeChat Article Extractor

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

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

Usage

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 });

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