# Analyze Public Feedback on a Product Launch

**Use case:** 

See how people react to a product launch, update, or feature release across public discussion posts and comments.

## Input

```json
{
  "query": "iPhone 16",
  "platforms": [
    "reddit",
    "youtube"
  ],
  "maxItems": 25,
  "timeRange": "7d",
  "engine": "llm",
  "llmProvider": "anthropic",
  "includeToxicity": false,
  "includeReport": true,
  "responseFormat": "detailed",
  "maxCostUsd": 0
}
```

## Output

```json
{
  "query": {
    "label": "Query",
    "format": "string"
  },
  "brandHealthScore": {
    "label": "Health (0-100)",
    "format": "number"
  },
  "headline": {
    "label": "Headline",
    "format": "string"
  },
  "summary": {
    "label": "Summary",
    "format": "string"
  },
  "sentimentBreakdown": {
    "label": "Sentiment Split",
    "format": "object"
  },
  "emotionDistribution": {
    "label": "Emotions",
    "format": "object"
  },
  "topPraise": {
    "label": "Top Praise",
    "format": "array"
  },
  "topComplaints": {
    "label": "Top Complaints",
    "format": "array"
  },
  "crisisSignals": {
    "label": "Crisis Signals",
    "format": "array"
  },
  "recommendations": {
    "label": "Recommendations",
    "format": "array"
  },
  "platformCounts": {
    "label": "Per Platform",
    "format": "object"
  }
}
```

## About this Actor

This example demonstrates how to use [Social Media Sentiment Analyzer](https://apify.com/khadinakbar/social-media-sentiment-analyzer) with a specific input configuration. Visit the [Actor detail page](https://apify.com/khadinakbar/social-media-sentiment-analyzer) to learn more, explore other use cases, and run it yourself.