# Trip.com hotel reviews scraper example

**Use case:** 

Extract the newest public Trip.com hotel reviews, scores, traveler details, translations, and media signals into a structured dataset.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.trip.com/hotels/singapore-hotel-detail-687499/hotel-81-tristar/review.html"
    }
  ],
  "maxReviewsPerHotel": 5
}
```

## Output

```json
{
  "hotelName": {
    "label": "Hotel"
  },
  "overallScore": {
    "label": "Hotel score"
  },
  "reviewCount": {
    "label": "Total reviews"
  },
  "reviewerName": {
    "label": "Reviewer"
  },
  "roomType": {
    "label": "Room type"
  },
  "stayDate": {
    "label": "Stay month"
  },
  "travelerType": {
    "label": "Traveler type"
  },
  "reviewScore": {
    "label": "Review score"
  },
  "reviewLabel": {
    "label": "Score label"
  },
  "postedAt": {
    "label": "Posted at",
    "format": "date"
  },
  "text": {
    "label": "Review text"
  },
  "language": {
    "label": "Language"
  },
  "hasTranslation": {
    "label": "Translated"
  },
  "mediaCount": {
    "label": "Media"
  },
  "sourceUrl": {
    "label": "Source",
    "format": "link"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [Trip.com Hotel Reviews Scraper](https://apify.com/automation-lab/trip-com-hotel-reviews-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/trip-com-hotel-reviews-scraper) to learn more, explore other use cases, and run it yourself.