# Chinese Content Trend Research on Baidu Notes

**Use case:** 

Discover Chinese content trends on Baidu Notes by searching multiple topics and keywords. Collect note titles, URLs, thumbnails, authors, and publication dates to analyze emerging topics, content patterns, and audience interests.

## Input

```json
{
  "keywords": [
    "人工智能",
    "AI",
    "ChatGPT",
    "新能源汽车",
    "跨境电商",
    "低成本创业",
    "数字营销",
    "小红书运营"
  ],
  "MAX_ITEMS_PER_KEYWORD": 50
}
```

## Output

```json
{
  "keyword": {
    "label": "Keyword",
    "format": "text"
  },
  "position": {
    "label": "Position",
    "format": "number"
  },
  "title": {
    "label": "Title",
    "format": "text"
  },
  "url": {
    "label": "URL",
    "format": "link"
  },
  "thumbnail": {
    "label": "Thumbnail",
    "format": "image"
  },
  "author": {
    "label": "Author",
    "format": "text"
  },
  "authorAvatar": {
    "label": "Author Avatar",
    "format": "image"
  },
  "publishedDate": {
    "label": "Published",
    "format": "text"
  },
  "likes": {
    "label": "Likes",
    "format": "text"
  },
  "searchTimestamp": {
    "label": "Search Timestamp",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [Baidu Notes Scraper - Low-cost 低成本💲🔥🇨🇳📺](https://apify.com/delectable_incubator/baidu-notes-scraper-low-cost-di-cheng-ben.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/delectable_incubator/baidu-notes-scraper-low-cost-di-cheng-ben.md) to learn more, explore other use cases, and run it yourself.


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

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/delectable_incubator/baidu-notes-scraper-low-cost-di-cheng-ben.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).