# Worked example: analyze a restaurant's Google reviews

**Use case:** 

Demo run on built-in sample data: themes with real quotes, silent-star counts, and a coordination verdict with evidence. Costs nothing to try.

## Input

```json
{
  "placeUrls": [],
  "fullAudit": false
}
```

## Output

```json
{
  "type": {
    "label": "Row",
    "format": "text"
  },
  "place": {
    "label": "Location",
    "format": "text"
  },
  "verdict": {
    "label": "VERDICT",
    "format": "text"
  },
  "verdict_reason": {
    "label": "Why",
    "format": "text"
  },
  "direction": {
    "label": "Bombed / bought",
    "format": "text"
  },
  "status": {
    "label": "Status"
  },
  "reason": {
    "label": "Reason"
  },
  "recent_reviews": {
    "label": "Recent reviews"
  },
  "baseline_per_month": {
    "label": "Baseline per month"
  },
  "top_themes": {
    "label": "What people say",
    "format": "array"
  },
  "authenticity_signals": {
    "label": "Authenticity signals"
  },
  "impact_signals": {
    "label": "Impact signals"
  },
  "coverage_pct": {
    "label": "Coverage pct"
  },
  "report_url": {
    "label": "Report",
    "format": "link"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Reviews Analysis - what customers say, and what's fake](https://apify.com/mentat-logic/mentat-reviews-analysis) with a specific input configuration. Visit the [Actor detail page](https://apify.com/mentat-logic/mentat-reviews-analysis) to learn more, explore other use cases, and run it yourself.