# Turn WeChat articles into Markdown for an LLM index

**Use case:** 

Reads the public WeChat Official Account links you give and returns one row per article: title, account, author, publish time, full text and Markdown. A post made only of images has empty text (images in Markdown) and is charged like any article; a page that cannot be read returns the reason, not charged. No WeChat search, read counts, likes or comments. Not affiliated with Tencent or WeChat.

## Input

```json
{
  "urls": [
    "https://mp.weixin.qq.com/s/1mEx5PY_as18PYbEVmGQlQ",
    "https://mp.weixin.qq.com/s/0U9ZJSIsL1zEIbSF1Yu5vw"
  ],
  "maxItems": 2,
  "includeMarkdown": true,
  "includeHtml": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "accountName": {
    "label": "Account",
    "format": "string"
  },
  "publishedAt": {
    "label": "Published",
    "format": "string"
  },
  "articleType": {
    "label": "Type",
    "format": "string"
  },
  "charCount": {
    "label": "Characters",
    "format": "integer"
  },
  "imageCount": {
    "label": "Images",
    "format": "integer"
  },
  "isOriginal": {
    "label": "Original",
    "format": "boolean"
  },
  "ipRegion": {
    "label": "IP region",
    "format": "string"
  },
  "error.type": {
    "label": "Not read",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The WeChat Article Scraper: Full Text, Markdown & Images (No Login) Actor is ready to run with the inputs already set for "Turn WeChat articles into Markdown for an LLM index". [Sign up or log in](https://console.apify.com/create-task-from-example/vxsQCsCnjP5JxL0bQ) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Turn WeChat articles into Markdown for an LLM index" task

The WeChat Article Scraper: Full Text, Markdown & Images (No Login) Actor will start running based on the input automatically. You can also change all the input fields, like wechat article links, maximum rows, and more, to match your specific use case.

### 3. Receive the "Turn WeChat articles into Markdown for an LLM index" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, account, published, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Turn WeChat articles into Markdown for an LLM index" task via API](https://apify.com/kizukidata/wechat-article-reader.md).

## FAQ

### What does the WeChat articles to Markdown task return?

It returns one row per article: title, account name, account WeChat ID, author, publish time, the Original mark, IP region, hashtags, the full text, a simple Markdown body, the images and the canonical link.

### How many links can I give it?

WeChat article links takes up to 100 links per run, and Maximum rows caps the dataset at up to 100 rows, 3 by default. This task sets 2 links and 2 rows, so a run is short.

### Does it return the account's other articles?

No. The task reads the links you send: it does not search WeChat by keyword or follow an account's article list, and it returns no read counts, likes or comments.

### Is a WeChat account or the app needed?

No WeChat account, no app and no login. It reads the public article page, and it is not affiliated with Tencent or WeChat.

## About this Actor

This example demonstrates how to use [WeChat Article Scraper: Full Text, Markdown & Images (No Login)](https://apify.com/kizukidata/wechat-article-reader.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kizukidata/wechat-article-reader.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/kizukidata/wechat-article-reader.md

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`).