# Hotels.com Reviews Dataset for LLM Training

**Use case:** 

Collect Hotels.com guest reviews as clean, LLM-ready markdown for fine-tuning and training corpora: one self-contained block per review.

## Input

```json
{
  "hotelUrls": [
    "https://www.hotels.com/ho150387/millennium-hotel-broadway-times-square-new-york-united-states-of-america/"
  ],
  "maxReviewsPerHotel": 500,
  "sortBy": "newest",
  "minRating": 1,
  "maxRating": 5,
  "reviewSources": [],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "markdownContent": {
    "label": "Markdown (LLM-ready)",
    "format": "string"
  },
  "overallRating": {
    "label": "Rating /10",
    "format": "integer"
  },
  "hotelName": {
    "label": "Hotel name",
    "format": "string"
  },
  "hotelId": {
    "label": "Hotel ID",
    "format": "integer"
  },
  "source": {
    "label": "Source",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Hotels.com Reviews Scraper 🏨 Ratings, Text & Sentiment](https://apify.com/factden/hotels-com-reviews-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/factden/hotels-com-reviews-scraper) to learn more, explore other use cases, and run it yourself.