# Trip.com Competitor Reviews: Kowloon Harbourfront Hotels

**Use case:** 

Three Kowloon hotels side by side, sixty reviews each in Trip.com's own most-relevant order, and a free hotel row per property with stars, the overall score and four sub-scores, review count and the language breakdown. The hotels view is the comp-set table; the review rows are the evidence, with reply rate visible in the response column. Cost: 180 review rows at $0.004 = at most $0.72 a run.

## Input

```json
{
  "startUrls": [],
  "hotelIds": [
    "433361",
    "425090",
    "425085"
  ],
  "maxReviewsPerHotel": 60,
  "reviewsSort": "most_relevant",
  "languages": [],
  "maxRating": 0,
  "requireText": false,
  "locale": "en-US",
  "includeHotelRow": true,
  "sessions": 4,
  "perIp": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "hotel_id": {
    "label": "Hotel id",
    "format": "string"
  },
  "hotel_name": {
    "label": "Hotel name",
    "format": "string"
  },
  "stars": {
    "label": "Stars",
    "format": "integer"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "rating_text": {
    "label": "Rating text",
    "format": "string"
  },
  "rating_location": {
    "label": "Rating location",
    "format": "number"
  },
  "rating_facility": {
    "label": "Rating facility",
    "format": "number"
  },
  "rating_service": {
    "label": "Rating service",
    "format": "number"
  },
  "rating_room": {
    "label": "Rating room",
    "format": "number"
  },
  "review_count": {
    "label": "Review count",
    "format": "integer"
  },
  "reviews_fetched": {
    "label": "Reviews fetched",
    "format": "integer"
  },
  "url": {
    "label": "Url",
    "format": "string"
  }
}
```

## About this Actor

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


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/kestrel/trip-com-reviews-scraper.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).