# Hotel Review Data by Keyword: Noise Complaints

**Use case:** 

One word turns a review feed into an answer. Booking searches the reviews for the keyword on its own servers, so only the reviews of the Hotel Arts that mention noise are fetched and billed - sixty of them, newest first, with the disliked text in its own column. Swap the keyword for breakfast, parking, Wi-Fi or check-in. Cost: 60 review rows at $0.005 = at most $0.30 a run.

## Input

```json
{
  "startUrls": [],
  "hotelNames": [
    "Hotel Arts Barcelona"
  ],
  "hotelIds": [],
  "maxReviewsPerHotel": 60,
  "reviewsSort": "most_recent",
  "languages": [],
  "travelerType": "all",
  "keyword": "noise",
  "maxRating": 0,
  "requireText": true,
  "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"
  },
  "title": {
    "label": "Title",
    "format": "string"
  },
  "negatives": {
    "label": "Negatives",
    "format": "string"
  },
  "positives": {
    "label": "Positives",
    "format": "string"
  },
  "review_date": {
    "label": "Review date",
    "format": "string"
  },
  "room_type": {
    "label": "Room type",
    "format": "string"
  },
  "traveler_type": {
    "label": "Traveler type",
    "format": "string"
  },
  "reviewer_country": {
    "label": "Reviewer country",
    "format": "string"
  },
  "response": {
    "label": "Response",
    "format": "string"
  }
}
```

## About this Actor

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


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
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).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

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