# HRS Competitor Reviews: Cologne Comp Set

**Use case:** 

Five Cologne hotels side by side, twenty newest reviews each, and a free hotel row per property with stars, overall rating, rating count, recommendation rate and the twelve category averages - reception, service, room size, beds, breakfast, price-performance and the rest. The hotels view is the comp-set table; the review rows are the evidence. Cost: 100 review rows at $0.003 = at most $0.30 a run.

## Input

```json
{
  "startUrls": [],
  "hotelIds": [
    "5205",
    "7112",
    "9487",
    "91716",
    "401502"
  ],
  "maxReviewsPerHotel": 20,
  "reviewsSort": "most_recent",
  "travellerTypes": [],
  "languages": [],
  "maxRating": 0,
  "requireText": false,
  "language": "en",
  "includeHotelRow": true,
  "sessions": 4,
  "perIp": 1,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## 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"
  },
  "address": {
    "label": "Address",
    "format": "string"
  },
  "postal_code": {
    "label": "Postal code",
    "format": "string"
  },
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "rating_count": {
    "label": "Rating count",
    "format": "integer"
  },
  "comment_count": {
    "label": "Comment count",
    "format": "integer"
  },
  "recommendation_pct": {
    "label": "Recommendation pct",
    "format": "number"
  },
  "ratings_by_traveller_type": {
    "label": "Ratings by traveller type",
    "format": "object"
  },
  "avg_by_category": {
    "label": "Avg by category",
    "format": "object"
  },
  "avg_by_super_category": {
    "label": "Avg by super category",
    "format": "object"
  },
  "reviews_fetched": {
    "label": "Reviews fetched",
    "format": "integer"
  },
  "url": {
    "label": "Url",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [HRS Reviews Scraper — Hotel Guest Reviews & Ratings](https://apify.com/kestrel/hrs-reviews-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kestrel/hrs-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).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/kestrel/hrs-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).