# Analyze RedNote comments for needs and objections

**Use case:** 

Turn RedNote notes and comments into consumer needs, repeated questions, objections, sentiment, alternatives, evidence, and content opportunities.

## Input

```json
{
  "source": "旅行背包",
  "outputType": "consumerVoice",
  "maxItems": 100,
  "uploadedNotes": [
    {
      "noteId": "travel-bag-1",
      "url": "https://www.xiaohongshu.com/explore/travel-bag-1",
      "title": "旅行背包使用体验",
      "description": "容量够用，但肩带耐用性和价格是购买前最关心的问题",
      "creatorName": "Sample creator",
      "likes": 120,
      "comments": 18,
      "collects": 36,
      "shares": 5,
      "hashtags": [
        "旅行背包",
        "通勤"
      ]
    }
  ],
  "uploadedComments": [
    {
      "commentId": "comment-1",
      "noteId": "travel-bag-1",
      "text": "通勤背一天会不会太重？",
      "likes": 8
    },
    {
      "commentId": "comment-2",
      "noteId": "travel-bag-1",
      "text": "肩带耐用吗，和普通双肩包相比值不值？",
      "likes": 6
    }
  ],
  "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).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

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).