# Bulk Hotel Reviews by Agoda Hotel ID

**Use case:** 

Numeric ids are the fastest input Agoda accepts - no search, no name ambiguity, no wasted request. Eight properties across Asia, Europe and the Gulf go into a single run and come back as one dataset, a hundred reviews each. Ids come from the hotel_id column of any earlier run. Cost: 800 review rows at $0.005 = at most $4.00 a run.

## Input

```json
{
  "startUrls": [],
  "hotelIds": [
    "910",
    "10713",
    "185945",
    "9729",
    "149803",
    "42783",
    "63820",
    "6988894"
  ],
  "hotelNames": [],
  "maxReviewsPerHotel": 100,
  "reviewsSort": "most_recent",
  "maxRating": 0,
  "requireText": false,
  "locale": "en-us",
  "includeHotelRow": true,
  "sessions": 4,
  "perIp": 1,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "hotel_name": {
    "label": "Hotel name",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "rating_5": {
    "label": "Rating 5",
    "format": "number"
  },
  "rating_text": {
    "label": "Rating text",
    "format": "string"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "text": {
    "label": "Text",
    "format": "string"
  },
  "positives": {
    "label": "Positives",
    "format": "string"
  },
  "negatives": {
    "label": "Negatives",
    "format": "string"
  },
  "language": {
    "label": "Language",
    "format": "string"
  },
  "review_date_text": {
    "label": "Review date text",
    "format": "string"
  },
  "check_in": {
    "label": "Check in",
    "format": "string"
  },
  "check_out": {
    "label": "Check out",
    "format": "string"
  },
  "room_type": {
    "label": "Room type",
    "format": "string"
  },
  "reviewer_name": {
    "label": "Reviewer name",
    "format": "string"
  },
  "reviewer_country": {
    "label": "Reviewer country",
    "format": "string"
  },
  "response": {
    "label": "Response",
    "format": "string"
  }
}
```

## About this Actor

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


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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/agoda-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).