# Find Recurring Product Pain Points in Reviews

**Use case:** 

Cluster repeated complaints from product reviews and rank actionable pain themes by frequency, severity, and recency.

## Input

```json
{
  "records": [
    {
      "product": "ExampleCRM",
      "rating": 1,
      "date": "2026-08-20",
      "text": "Support never responds to our tickets.",
      "url": "https://example.com/reviews/1"
    },
    {
      "product": "ExampleCRM",
      "rating": 2,
      "date": "2026-08-20",
      "text": "Terrible customer support response time."
    },
    {
      "product": "ExampleCRM",
      "rating": 2,
      "date": "2026-08-20",
      "text": "Support agent did not resolve the problem."
    },
    {
      "product": "ExampleCRM",
      "rating": 2,
      "date": "2026-08-20",
      "text": "The interface is confusing and hard to use."
    },
    {
      "product": "ExampleCRM",
      "rating": 2,
      "date": "2026-08-20",
      "text": "Navigation is difficult."
    }
  ],
  "sourceActorInput": {},
  "lookbackDays": 30,
  "minMentions": 2,
  "maxEvidencePerPain": 3,
  "maxResults": 20,
  "maxSourceItems": 10000
}
```

## Output

```json
{
  "product": {
    "label": "Product",
    "format": "string"
  },
  "topic": {
    "label": "Topic",
    "format": "string"
  },
  "opportunityScore": {
    "label": "Opportunity score",
    "format": "number"
  },
  "mentions": {
    "label": "Mentions",
    "format": "integer"
  },
  "negativeShare": {
    "label": "Negative share",
    "format": "number"
  },
  "averageRating": {
    "label": "Average rating",
    "format": "number"
  },
  "trendRate": {
    "label": "Trend rate",
    "format": "number"
  },
  "keywords": {
    "label": "Keywords",
    "format": "array"
  },
  "recommendation": {
    "label": "Recommendation",
    "format": "string"
  },
  "evidence": {
    "label": "Evidence",
    "format": "array"
  }
}
```

## About this Actor

This example demonstrates how to use [Review Pain Intelligence for Product Teams](https://apify.com/signal_lab/review-pain-intelligence) with a specific input configuration. Visit the [Actor detail page](https://apify.com/signal_lab/review-pain-intelligence) 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/signal_lab/review-pain-intelligence.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).
