# WeChat Article to Clean Markdown & JSON Extractor (`knightwwang/wechat-article-to-markdown`) Actor

Convert WeChat Official Account articles (mp.weixin.qq.com) into clean Markdown with embedded images, author info, publish date, and AI-ready tokens.

- **URL**: https://apify.com/knightwwang/wechat-article-to-markdown.md
- **Developed by:** [knightwwang Wang](https://apify.com/knightwwang) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 📰 WeChat Article to Clean Markdown & JSON Extractor (微信公众号文章提取器)

Extract, clean, and convert any **WeChat Official Account article (`mp.weixin.qq.com`)** into clean, formatted **Markdown** and structured **JSON metadata**.

Perfect for **AI summarization (Claude, ChatGPT), translation, RAG knowledge bases, and content syndication**.

***

### ⚡ What Makes This Actor Unique?

WeChat articles are notoriously hard to scrape and parse with generic tools because:

- 🖼️ **Lazy-Loaded Images**: WeChat stores real images in `data-src` attributes, leaving standard Markdown converters with broken or empty images. This Actor automatically resolves `data-src` into high-res markdown image tags.
- 🧹 **Boilerplate Filtering**: Strips out follow banners, PC QR codes, tip/reward widgets, and hidden SVG tracking tags.
- 📊 **Rich Metadata**: Automatically captures the Account Name (公众号名称), Original Author, Exact Publish Timestamp, and Title.
- 🤖 **AI-Ready Token Counting**: Returns exact BPE token counts for seamless injection into LLMs without blowing context limits.

***

### 📥 Input Example

```json
{
  "articleUrls": [
    { "url": "https://mp.weixin.qq.com/s/your-article-id" }
  ],
  "includeImages": true,
  "cleanHeadersAndFooters": true
}
```

***

### 📤 Output Dataset Format

```json
{
  "url": "https://mp.weixin.qq.com/s/your-article-id",
  "metadata": {
    "title": "深度剖析：AI Agent 的未来演进路径",
    "author": "科技研报精选",
    "accountId": "gh_123456789abc",
    "publishTime": "2026-10-20T10:00:00.000Z",
    "description": "探讨 2026 年大模型自主智能体的落地格局...",
    "characterCount": 8500,
    "estimatedTokens": 4250
  },
  "markdown": "# 深度剖析：AI Agent 的未来演进路径\n\n随着大模型推理能力的跃升...\n\n![架构图](https://mmbiz.qpic.cn/mmbiz_png/...)\n\n### 关键结论\n- 结论 1\n- 结论 2",
  "scrapedAt": "2026-10-20T10:28:00.000Z"
}
```

***

### 💰 Monetization & Use Cases

- **Global Market Intelligence**: Western hedge funds and analysts tracking Chinese tech and policy via WeChat Official Accounts.
- **Cross-Border Creators**: Translating high-quality Chinese deep-dives into English Substack / Medium newsletters.
- **RAG & Enterprise Archives**: Ingesting proprietary Chinese research directly into vector databases.

# Actor input Schema

## `articleUrls` (type: `array`):

List of WeChat Official Account article links (https://mp.weixin.qq.com/s/...).

## `includeImages` (type: `boolean`):

Convert WeChat lazy-loaded data-src images into standard markdown ![]() links.

## `cleanHeadersAndFooters` (type: `boolean`):

Filter out common QR codes, follow prompts, and footer copyright boilerplate.

## `proxyConfiguration` (type: `object`):

Use Apify residential or data-center proxies to avoid WeChat rate limits.

## Actor input object example

```json
{
  "articleUrls": [
    {
      "url": "https://mp.weixin.qq.com/s/example"
    }
  ],
  "includeImages": true,
  "cleanHeadersAndFooters": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing all extracted WeChat articles

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "articleUrls": [
        {
            "url": "https://mp.weixin.qq.com/s/example"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("knightwwang/wechat-article-to-markdown").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "articleUrls": [{ "url": "https://mp.weixin.qq.com/s/example" }] }

# Run the Actor and wait for it to finish
run = client.actor("knightwwang/wechat-article-to-markdown").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "articleUrls": [
    {
      "url": "https://mp.weixin.qq.com/s/example"
    }
  ]
}' |
apify call knightwwang/wechat-article-to-markdown --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,knightwwang/wechat-article-to-markdown"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ms1OpPahLdnCbvsT9/builds/ye9f3oJVdCTRXgaSg/openapi.json