# TripAdvisor Ratings with Six Sub-Ratings per Review

**Use case:** 

TripAdvisor guests rate cleanliness, location, rooms, service, sleep quality and value alongside the overall bubble score, and every review row carries all six. Eighty newest reviews of the Park Hyatt Tokyo, enough to see which sub-rating drags the average and whether it is the rooms or the service. Cost: 80 review rows at $0.005 = at most $0.40 a run.

## Input

```json
{
  "startUrls": [],
  "locationIds": [],
  "hotelNames": [
    "Park Hyatt Tokyo"
  ],
  "languages": [
    "en"
  ],
  "maxReviewsPerHotel": 80,
  "maxRating": 0,
  "tripTypes": [],
  "sinceDate": "",
  "requireText": false,
  "includeTranslated": true,
  "includeHotelRow": true,
  "sessions": 2,
  "perIp": 1,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "hotel_name": {
    "label": "Hotel name",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "sub_ratings": {
    "label": "Sub ratings",
    "format": "object"
  },
  "review_date": {
    "label": "Review date",
    "format": "string"
  },
  "stay_date": {
    "label": "Stay date",
    "format": "string"
  },
  "trip_type": {
    "label": "Trip type",
    "format": "string"
  },
  "original_language": {
    "label": "Original language",
    "format": "string"
  },
  "translated": {
    "label": "Translated",
    "format": "boolean"
  },
  "reviewer_name": {
    "label": "Reviewer name",
    "format": "string"
  },
  "helpful_votes": {
    "label": "Helpful votes",
    "format": "integer"
  },
  "response": {
    "label": "Response",
    "format": "string"
  },
  "url": {
    "label": "Url",
    "format": "string"
  }
}
```

## About this Actor

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


## How to integrate an Actor?

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

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/kestrel/tripadvisor-reviews-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
