# Extract a RedNote note from an Apify Dataset

**Use case:** 

Run a real RedNote note example from an Apify Dataset and inspect normalized creator, engagement, hashtags, evidence URL, and score fields.

## Input

```json
{
  "source": "dataset:bceWldnFXlbkBBpxB",
  "outputType": "noteResults",
  "maxItems": 1,
  "uploadedNotes": [],
  "uploadedComments": [],
  "brandDatasets": [],
  "knownEntities": [],
  "regulatedTopic": false,
  "maxEvidence": 20,
  "maxOpportunities": 10,
  "brandKeywords": [],
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "htmlSnapshots": [],
  "requestDelayMs": 1500
}
```

## Output

```json
{
  "title": {
    "label": "Title",
    "format": "string"
  },
  "recordType": {
    "label": "Record type",
    "format": "string"
  },
  "opportunityScore": {
    "label": "Opportunity score",
    "format": "integer"
  },
  "topic": {
    "label": "Topic",
    "format": "string"
  },
  "engagementLeader": {
    "label": "Engagement leader",
    "format": "string"
  },
  "notesAnalyzed": {
    "label": "Notes analyzed",
    "format": "integer"
  },
  "commentsAnalyzed": {
    "label": "Comments analyzed",
    "format": "integer"
  },
  "claimRiskLevel": {
    "label": "Claim risk level",
    "format": "string"
  },
  "creatorName": {
    "label": "Creator name",
    "format": "string"
  },
  "likes": {
    "label": "Likes",
    "format": "integer"
  },
  "comments": {
    "label": "Comments",
    "format": "integer"
  },
  "collects": {
    "label": "Collects",
    "format": "integer"
  },
  "matchedKeywords": {
    "label": "Matched keywords",
    "format": "array"
  },
  "discoveryScore": {
    "label": "Discovery score",
    "format": "integer"
  },
  "url": {
    "label": "Url",
    "format": "string"
  }
}
```

## 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).