# Trip.com Hotel Reviews for AI and RAG

**Use case:** 

Export Trip.com and Ctrip hotel reviews as LLM-ready markdown for RAG and sentiment analysis. 32 fields per review, zero setup. $4/1K.

## Input

```json
{
  "startUrls": [
    "https://www.trip.com/hotels/macau-hotel-detail-344983/galaxy-hotel/"
  ],
  "maxReviewsPerHotel": 500,
  "sortBy": "mostRecent",
  "minRating": 1,
  "maxRating": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "markdownContent": {
    "label": "Markdown",
    "format": "string"
  },
  "reviewText": {
    "label": "Original text",
    "format": "string"
  },
  "reviewTextTranslated": {
    "label": "Translated text",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "overallRating": {
    "label": "Rating",
    "format": "number"
  },
  "travelType": {
    "label": "Travel type",
    "format": "string"
  },
  "recommends": {
    "label": "Recommends",
    "format": "boolean"
  },
  "source": {
    "label": "Source",
    "format": "string"
  }
}
```

## About this Actor

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