# Build a hotel reviews dataset for sentiment analysis

**Use case:** 

Turn any hotel's guest reviews into a fresh sentiment analysis dataset: rating, review text, date, source, and reviewer, one row per review. JSON or CSV.

## Input

```json
{
  "search_type": "reviews",
  "q": "hotels in Paris",
  "property_token": "***",
  "gl": "us",
  "hl": "en",
  "currency": "USD",
  "check_in_date": "2026-08-08",
  "check_out_date": "2026-08-10",
  "adults": 2,
  "children": 0,
  "min_price": "0.00",
  "max_price": "0.00",
  "guest_rating": "0.0",
  "vacation_rentals": false,
  "reviews_sort_by": "2",
  "max_pages": 5
}
```

## Output

```json
{
  "position": {
    "label": "Position"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "review_date": {
    "label": "Date"
  },
  "review_snippet": {
    "label": "Review"
  },
  "review_source": {
    "label": "Source"
  },
  "user_name": {
    "label": "Reviewer"
  },
  "property_token": {
    "label": "Property Token"
  },
  "review": {
    "label": "Full Review Object"
  },
  "search_timestamp": {
    "label": "Timestamp",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [Google Hotels Search Scraper](https://apify.com/johnvc/google-hotels-search-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/johnvc/google-hotels-search-scraper) to learn more, explore other use cases, and run it yourself.