WeChat Official Account Articles (公众号): Full Text

io.github.serenidoPublished by GitHub account serenidov1.0.0Updated Nov 1, 2026

Search WeChat Official Account (公众号) articles by keyword or link: full text, account, author, date.

VerifiedStreamable HTTPWeb executableWeb Search & ScrapingMedia & Design

Overview

AI-generated overview

Apify-hosted remote MCP server that searches WeChat Official Account articles by keyword or link and returns full text with account and author metadata.

What you can do
  • Search WeChat Official Account articles by keyword in Chinese or English, or by pasted article links
  • Retrieve full article text, word count, images, video count and the original-article link
  • Get account name, account ID, WeChat ID, author, publish time in UTC and China time, IP province and original label
  • Filter results to a single account or to articles from the last N days, with duplicates saved once
  • Return deleted, expired or blocked articles as free rows with the reason
When to use it
Useful for China market and brand monitoring, following what specific Official Accounts publish, or building Chinese text datasets for research and AI work, without a WeChat account or login.
Requirements
Remote MCP endpoint at mcp.apify.com with the tool scoped in the URL; an Apify account connected on first use via OAuth. Runs are billed to that Apify account. No WeChat account, login or cookies needed.
Before you install
Usage is paid: $3 per 1,000 articles, drawn from Apify plan credit, so runs spend money. Results are collected from public WeChat/Sogou search and article pages and stored in Apify datasets, so consider whether that data handling suits your use.

Installation

In SourceWeft

  1. Open WeChat Official Account Articles (公众号): Full Text in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.serenido%2Fwechat-official-account/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "wechat-official-account-articles-full-te": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=serenido/wechat-official-account-scraper"
    }
  }
}

README

WeChat Official Account Articles API (微信公众号文章)

Search WeChat Official Account articles (公众号文章) by keyword, or paste article links, and get the full text with account, author, publish time, province, original label and images as clean JSON. No WeChat account, no login, no cookies.

Runs in the cloud on Apify. No servers, no proxy setup, no code to maintain. Open it on Apify

Price: $3 per 1,000 articles. No monthly fee. Apify's free plan gives $5 of usage every month, no credit card needed. Current price.

What you get

  • Keyword search in Chinese or English (Sogou WeChat search, about 100 articles per keyword)
  • Full article text without HTML, word count, all images, video count and the 阅读原文 link
  • Account name, account ID and WeChat ID, author, publish time in UTC and China time, IP province (IP属地), original (原创) label
  • Filters: one account only, or only articles from the last N days; the same article found twice is saved once
  • Deleted, removed, expired, invalid and blocked articles are saved as free rows with the reason, never charged

Quick start: Python

bash
pip install -U apify-client
python
from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("serenido/wechat-official-account-scraper").call(run_input={    "keywords": [        "咖啡",        "人工智能"    ],    "maxArticlesPerKeyword": 20,    "fullText": True})
for item in client.dataset(run.default_dataset_id).iterate_items():    print(item)

Quick start: JavaScript (Node.js)

bash
npm install apify-client
javascript
import { ApifyClient } from "apify-client";
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor("serenido/wechat-official-account-scraper").call({    "keywords": [        "咖啡",        "人工智能"    ],    "maxArticlesPerKeyword": 20,    "fullText": true});
const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(items);

Quick start: one HTTP call

Runs the tool and returns the rows in one request. Good for runs under 5 minutes; for bigger runs use the Python or JavaScript example.

bash
curl -X POST "https://api.apify.com/v2/acts/serenido~wechat-official-account-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \  -H "Content-Type: application/json" \  -d '{"keywords": ["咖啡", "人工智能"], "maxArticlesPerKeyword": 20, "fullText": true}'

Get your token in Apify Console > Settings > API & Integrations.

Use it from AI apps (MCP)

Any app that supports remote MCP servers (Claude, ChatGPT, Cursor, VS Code and others) can run this tool for you. Add this server URL: https://mcp.apify.com?tools=serenido/wechat-official-account-scraper. Your Apify account connects on first use. Example config for Cursor:

json
{  "mcpServers": {    "apify": {      "url": "https://mcp.apify.com?tools=serenido/wechat-official-account-scraper"    }  }}

Input example

json
{  "keywords": [    "咖啡",    "人工智能"  ],  "maxArticlesPerKeyword": 20,  "fullText": true}

Also: articleUrls (mp.weixin.qq.com/s/... links), accountName, publishedWithinDays, and fullText: false for a faster list without the text. All options are listed on the input page.

Output example (one row)

json
{  "status": "ok",  "keyword": "咖啡",  "rank": 9,  "title": "咖啡好还是茶好？别选了，咖啡＋茶更好！",  "accountName": "营养师顾中一",  "accountId": "MzU1ODcxNDk0OQ==",  "accountWechatId": "gh_70e3d115215b",  "author": "顾中一工作室",  "publishedAt": "2023-07-10T14:22:47Z",  "publishedAtChina": "2023-07-10 22:22",  "province": "北京",  "isOriginal": true,  "articleType": "article",  "summary": "本文约 3000 字,阅读约需 6 分钟太长不看有研究发现既喝咖啡又喝茶,健康好处有互相增益效果.咖啡和茶不加糖的话都是很健康的...",  "contentText": "本文约 3000 字，阅读约需 6 分钟\n太长不看\n有研究发现既喝咖啡又喝茶，健康好处有互相增益效果。\n咖啡和茶不加糖的话都是很健康的饮料，不过也要适量喝。\n咖啡和茶是我们日常生活中常见的两种健康饮料，它俩的成分有重合也...",  "wordCount": 3265,  "coverImage": "https://mmbiz.qpic.cn/sz_mmbiz_jpg/3lzggpiaoaiakqlgIZJhjsLVjIySdKQZGeRzk9TKxcYqHsUUFPtFqssPibGCtrltCHjjMtibNziauQxhvYbWySuiagLQ/0?wx_fmt=jpeg",  "images": [    "https://mmbiz.qpic.cn/mmbiz_jpg/3lzggpiaoaialMmYTEibVp7k89gcHeOpeyibrCCLKZ7UW7YN7Y7vfwp42wwFZR6icdFLDUXfaTEQQeuOHUyOUr92Q1g/640?wx_fmt=jpeg&wxfrom=5&wx_lazy=1&wx_co=1",    "https://mmbiz.qpic.cn/mmbiz_jpg/3lzggpiaoaiakDo4uFD0JLwNXYNX3q4nadMkAqlBz0Mele60Tian8ykpBmGN1ExBk8bj0ZAgFJI1FlsIklxwLHPVA/640?wx_fmt=jpeg"  ],  "imageCount": 13,  "videoCount": 1,  "articleId": "MzU1ODcxNDk0OQ==_2247553650_1",  "url": "https://mp.weixin.qq.com/s?src=11&timestamp=1792761471&ver=7044&signature=UroHxEkhT0avlAsm-9WjsYO0wr6qAI2iqNoVX2oubiMgt0jJGKUhqgSC39TTabSZOpmb-eFZHRzoXLIVa5uaPp3SEeLAUyjt-HXRZs3HfEKayHWNw2LZffEPp66ewAH9&new=1",  "scrapedAt": "2026-10-23T13:18:45Z"}

Real row from a test run on 23 October 2026, with contentText and images shortened here.

Download as JSON, CSV or Excel, or connect to Make, Zapier or n8n.

Use cases

  • China market and brand monitoring
  • Building Chinese text datasets for research and AI
  • Following what specific Official Accounts publish

More tools by Serenido

Support

Found a bug or need a field? Open an issue here or on the Issues tab on Apify.

Use it only for public data and follow the website's terms and the laws that apply to you. This project is not affiliated with the websites it reads.

Source: README.md at commit 3cc2e1f

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Version history

1
  1. v1.0.0LatestOct 25, 2026

Score

75% of the applicable checks met

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