WeChat Official Account Scraper → Markdown 公众号

Convert any WeChat Official Account (微信公众号) article into clean, RAG-ready Markdown plus structured metadata — title, author, account name, publish time, cover image and all image URLs. Built for Chinese content teams, AI researchers and data engineers feeding WeChat content into LLM / RAG pipelines.

Why this actor

• No official API exists for reading WeChat Official Account articles. This actor fills the gap.
• No API key, no WeChat account, no cookies needed for direct article URLs — article pages (mp.weixin.qq.com/s/...) are fetched with plain HTTP and parsed server-side.
• Markdown-native output: the article body (#js_content) is converted with Turndown, with WeChat's lazy-loaded data-src images rewritten to real URLs so no image is lost.
• Pay-per-event pricing: you pay per article scraped plus a tiny per-run start charge. No monthly minimum.

Reliability — read this

Mode	Reliability
Direct article URLs (articleUrls)	✅ Fully reliable, keyless, no proxy needed
Keyword discovery (searchKeywords)	⚠️ Best-effort. Uses Sogou WeChat search, which is captcha-prone. Without proxies it may work for a few queries, then get blocked. For production discovery use residential proxies (see proxyConfiguration). If discovery fails, the actor logs a warning and continues — direct URLs always work.

Input

Field	Type	Default	Description
articleUrls	string[]	[]	Direct WeChat article links (https://mp.weixin.qq.com/s/...). Fully reliable mode. The form is prefilled with one example article — replace it with your own links.
searchKeywords	string[]	—	Optional keywords for article discovery via Sogou WeChat search. Best-effort, captcha-prone.
maxArticlesPerKeyword	integer	5	Max articles scraped per keyword.
includeImages	boolean	true	Keep  image markdown in the body. Image URLs are always collected in images regardless.
proxyConfiguration	object	—	Optional Apify proxy settings. Residential proxies recommended for keyword discovery.

At least one of articleUrls / searchKeywords is required — the actor fails fast with a clear error otherwise.

Example input

{
  "articleUrls": [
    "https://mp.weixin.qq.com/s/4gG0wmpjHS94fXEmAbfIXQ"
  ],
  "searchKeywords": ["人工智能"],
  "maxArticlesPerKeyword": 5,
  "includeImages": true
}

Output

One dataset item per article:

Field	Type	Description
source	string	"url" (direct link) or "search" (keyword discovery)
keyword	string | null	The keyword that found this article, or null for direct URLs
articleUrl	string	Canonical article URL
title	string	Article title
author	string | null	Article author(s)
accountName	string	Official Account (公众号) name
publishTime	string | null	ISO 8601 publish timestamp
coverUrl	string | null	Cover image URL
markdown	string	Full article body as clean Markdown
textLength	number	Plain-text length of the article body (chars)
imageCount	number	Number of images found in the body
images	string[]	Image URLs (capped at 50)
scrapedAt	string	ISO 8601 scrape timestamp

Example output item (markdown truncated)

{
  "source": "url",
  "keyword": null,
  "articleUrl": "https://mp.weixin.qq.com/s/4gG0wmpjHS94fXEmAbfIXQ",
  "title": "欧盟ESG法规解读系列之《零毁林法案》对中国新能源汽车企业的影响",
  "author": "苏畅 刘阳禾",
  "accountName": "金杜研究",
  "publishTime": "2025-04-07T10:51:51.000Z",
  "coverUrl": "https://mmbiz.qpic.cn/mmbiz_jpg/.../0?wx_fmt=jpeg",
  "markdown": "# 欧盟ESG法规解读系列...\n\n![](https://mmbiz.qpic.cn/...)\n\n...",
  "textLength": 5210,
  "imageCount": 6,
  "images": ["https://mmbiz.qpic.cn/..."],
  "scrapedAt": "2026-08-19T18:55:00.000Z"
}

Pricing

$5.00 per 1,000 articles — pay-per-event, charged per article written to the dataset, plus a $0.00005 start charge per run. You are charged only for articles successfully pushed to the dataset. Set Maximum cost per run to cap spend; the actor stops fetching once the cap is reached.

Usage tips

• Feed the markdown field straight into your chunking/embedding pipeline — it's already cleaned of WeChat's wrapper noise.
• WeChat image URLs (mmbiz.qpic.cn) are hotlink-protected for browsers but downloadable server-side; fetch them soon after scraping if you need to archive them.
• Sogou-discovered article URLs are signed and time-limited — scrape them promptly, or re-run discovery to get fresh links.
• For large keyword-discovery jobs, enable residential proxies to avoid Sogou captchas.

Limitations

• Deleted / account-restricted articles return an error page and are logged as failures (not charged).
• "Profile/list" pages (mp.weixin.qq.com/mp/profile_ext?...) are short-lived signed links and are not supported — use direct article URLs or keyword discovery.
• Keyword discovery depends on Sogou and can break or be captcha-blocked at any time; direct article URLs are the stable path.

How to use WeChat Official Account Scraper → Markdown 公众号

1. Open WeChat Official Account Scraper → Markdown 公众号 on Apify Store and click Try for free.
2. Fill in the input (the form is prefilled with a working example) and click Start.
3. Watch results appear in the Output tab, then download them as JSON, CSV, Excel or HTML, or read them through the API.
4. Optional: save the input as a task and add a schedule to run it automatically, or connect it to your tools with integrations and webhooks.

Use WeChat Official Account Scraper → Markdown 公众号 with AI agents (MCP)

Give Claude, ChatGPT, Cursor, VS Code or any MCP client this Actor as a tool through the hosted Apify MCP server. The agent sees the input fields with descriptions and example values, runs the Actor, and reads the results.

MCP server URL (this Actor only):

https://mcp.apify.com/?tools=technicaldost/wechat-article-markdown-scraper

Claude Code:

$claude mcp add --transport http apify "https://mcp.apify.com/?tools=technicaldost/wechat-article-markdown-scraper" --header "Authorization: Bearer YOUR_APIFY_TOKEN"

Cursor, VS Code, Claude Desktop and other clients (mcp.json or the client's MCP settings):

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=technicaldost/wechat-article-markdown-scraper",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

Clients that support sign-in (such as Claude.ai connectors) can use the URL without a token and log in to Apify instead. Get your token in Apify Console → Settings → API & Integrations, or generate a ready config for your client at mcp.apify.com. In the agent the tool is named technicaldost--wechat-article-markdown-scraper; ask it, for example, to "run WeChat Official Account Scraper → Markdown 公众号 with {"articleUrls": ["https://mp.weixin.qq.com/s/4gG0wmpjHS94fXEmAbfIXQ"]}".

AI agents without an Apify account can also run and pay for this Actor per request with x402 agentic payments.

Run WeChat Official Account Scraper → Markdown 公众号 via API

Run the Actor and get its results in one call (replace YOUR_APIFY_TOKEN):

curl -X POST "https://api.apify.com/v2/acts/technicaldost~wechat-article-markdown-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"articleUrls": ["https://mp.weixin.qq.com/s/4gG0wmpjHS94fXEmAbfIXQ"]}'

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("technicaldost/wechat-article-markdown-scraper").call(run_input={"articleUrls": ["https://mp.weixin.qq.com/s/4gG0wmpjHS94fXEmAbfIXQ"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript / TypeScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('technicaldost/wechat-article-markdown-scraper').call({"articleUrls": ["https://mp.weixin.qq.com/s/4gG0wmpjHS94fXEmAbfIXQ"]});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Long runs: start them with POST /v2/acts/technicaldost~wechat-article-markdown-scraper/runs and fetch the dataset when the run finishes, or receive a webhook.

Integrations

WeChat Official Account Scraper → Markdown 公众号 works with Make, Zapier, n8n, LangChain, Google Sheets, Slack, GitHub and webhooks. Schedule runs in Apify Console and send new results straight to your apps, spreadsheets or AI pipelines.

Related Actors

• Webpage to Markdown — Convert any web page into clean, LLM-ready Markdown. Strips ads, nav and boilerplate, keeping headings, links

FAQ

Can I use WeChat Official Account Scraper → Markdown 公众号 with AI agents like Claude or ChatGPT?

Yes. Connect the Apify MCP server with ?tools=technicaldost/wechat-article-markdown-scraper (see above) and the agent can run the Actor and read its results on its own.

Can I call WeChat Official Account Scraper → Markdown 公众号 from my own code?

Yes. Use the REST API, or the official Python and JavaScript clients shown above. Results are available as JSON, CSV, Excel, XML or HTML.

How do I run it on a schedule?

Save your input as a task in Apify Console and add a schedule (for example, daily). Use webhooks or integrations to send each run's results onward.

Is it legal to use this Actor?

It works with publicly available data. Make sure your use complies with the source website's terms and with data protection laws such as GDPR, especially for personal data.

Something doesn't work or I need a feature. What should I do?

Open an issue in the Issues tab on this Actor's page with an example input, and we'll look into it.