# Find RedNote topic and content opportunities

**Use case:** 

Analyze RedNote note data to rank topic clusters, breakout themes, evidence-linked content gaps, hooks, and practical content opportunities.

## Input

```json
{
  "source": "通勤背包",
  "outputType": "topicRadar",
  "maxItems": 100,
  "uploadedNotes": [
    {
      "noteId": "bag-topic-1",
      "url": "https://www.xiaohongshu.com/explore/bag-topic-1",
      "title": "通勤背包怎么选",
      "description": "电脑收纳、肩带舒适和地铁通勤场景对比",
      "creatorName": "Sample creator A",
      "likes": 820,
      "comments": 66,
      "collects": 410,
      "shares": 38,
      "hashtags": [
        "通勤背包",
        "上班穿搭"
      ]
    },
    {
      "noteId": "bag-topic-2",
      "url": "https://www.xiaohongshu.com/explore/bag-topic-2",
      "title": "短途旅行一包搞定",
      "description": "容量、分区、防水和随身登机场景实测",
      "creatorName": "Sample creator B",
      "likes": 460,
      "comments": 51,
      "collects": 330,
      "shares": 29,
      "hashtags": [
        "旅行背包",
        "收纳"
      ]
    }
  ],
  "uploadedComments": [],
  "brandDatasets": [],
  "knownEntities": [],
  "regulatedTopic": false,
  "maxEvidence": 20,
  "maxOpportunities": 10,
  "brandKeywords": [],
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "htmlSnapshots": [],
  "requestDelayMs": 1500
}
```

## Output

```json
{
  "recordType": {
    "label": "Record type",
    "format": "string"
  },
  "topic": {
    "label": "Topic",
    "format": "string"
  },
  "notesAnalyzed": {
    "label": "Notes analyzed",
    "format": "integer"
  },
  "commentsAnalyzed": {
    "label": "Comments analyzed",
    "format": "integer"
  },
  "engagementLeader": {
    "label": "Engagement leader",
    "format": "string"
  },
  "brands": {
    "label": "Brands",
    "format": "array"
  },
  "topDiscussionDimensions": {
    "label": "Top discussion dimensions",
    "format": "array"
  },
  "mentionedEntities": {
    "label": "Mentioned entities",
    "format": "array"
  },
  "entities": {
    "label": "Entities",
    "format": "array"
  },
  "alternatives": {
    "label": "Alternatives",
    "format": "array"
  },
  "contentDirections": {
    "label": "Content directions",
    "format": "array"
  },
  "claimRiskLevel": {
    "label": "Claim risk level",
    "format": "string"
  },
  "dataQualityWarnings": {
    "label": "Data quality warnings",
    "format": "array"
  }
}
```

## About this Actor

This example demonstrates how to use [RedNote Scraper + Consumer & Competitor Analysis](https://apify.com/scrupulous_buckler/xiaohongshu-brand-influencer-discovery) with a specific input configuration. Visit the [Actor detail page](https://apify.com/scrupulous_buckler/xiaohongshu-brand-influencer-discovery) to learn more, explore other use cases, and run it yourself.


## 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.
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/scrupulous_buckler/xiaohongshu-brand-influencer-discovery.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).
