# Search WeChat Articles by Keyword

**Use case:** 

Find WeChat Official Account articles for any keyword: title, summary, account name and publish time for up to 50 articles per keyword. This example searches 人工智能 (AI) and 新能源汽车 (new-energy vehicles).

## Input

```json
{
  "mode": "search",
  "keywords": [
    "人工智能",
    "新能源汽车"
  ],
  "max_items": 50,
  "include_content": false
}
```

## Output

```json
{
  "kind": {
    "label": "Kind"
  },
  "source_keyword": {
    "label": "Source keyword"
  },
  "page": {
    "label": "Page"
  },
  "position": {
    "label": "Position"
  },
  "title": {
    "label": "Title"
  },
  "summary": {
    "label": "Summary"
  },
  "account_name": {
    "label": "Account name"
  },
  "account_username": {
    "label": "Account username"
  },
  "account_verified": {
    "label": "Account verified"
  },
  "published_at": {
    "label": "Published at"
  },
  "permanent_url": {
    "label": "Permanent url"
  },
  "sogou_url": {
    "label": "Sogou url"
  },
  "cover_url": {
    "label": "Cover url"
  },
  "has_video": {
    "label": "Has video"
  },
  "docid": {
    "label": "Docid"
  },
  "msgid": {
    "label": "Msgid"
  },
  "idx": {
    "label": "Idx"
  },
  "total_results_estimate": {
    "label": "Total results estimate"
  },
  "account_openid": {
    "label": "Account openid"
  },
  "account_avatar_url": {
    "label": "Account avatar url"
  },
  "sogou_signals": {
    "label": "Sogou signals"
  },
  "scraped_at": {
    "label": "Scraped at"
  },
  "_meta.status": {
    "label": "Outcome",
    "format": "text"
  },
  "_meta.message": {
    "label": "Outcome message",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [WeChat Official Account Article Scraper](https://apify.com/herus13/wechat-article-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/herus13/wechat-article-scraper.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/herus13/wechat-article-scraper.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`).