# Hotel Rate Shopper for the UK Market

**Use case:** 

A London rate shop run on the US market answers in the wrong currency and with the wrong channel mix. Set country to gb and currency to GBP and the run returns what a UK booker is quoted, including the UK-only agencies that never appear on the US source list. Cost: 5 parity rows at $0.01 = at most $0.05 a run.

## Input

```json
{
  "hotels": [],
  "hotelNames": [
    "The Savoy London",
    "Park Plaza Westminster Bridge London",
    "The Hoxton Shoreditch",
    "Premier Inn London County Hall",
    "Shangri-La The Shard London"
  ],
  "checkIn": "30 days",
  "nights": 1,
  "sweepDays": 0,
  "adults": 2,
  "childrenAges": [],
  "currency": "GBP",
  "language": "en",
  "country": "gb",
  "minSpreadPct": 0,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "sessions": 4,
  "perIp": 0.5
}
```

## Output

```json
{
  "hotel_name": {
    "label": "Property",
    "format": "string"
  },
  "check_in": {
    "label": "Check-in",
    "format": "string"
  },
  "check_out": {
    "label": "Check-out",
    "format": "string"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  },
  "n_sources": {
    "label": "Sources",
    "format": "integer"
  },
  "min_source": {
    "label": "Cheapest source",
    "format": "string"
  },
  "min_price": {
    "label": "Cheapest",
    "format": "number"
  },
  "max_source": {
    "label": "Dearest source",
    "format": "string"
  },
  "max_price": {
    "label": "Dearest",
    "format": "number"
  },
  "spread_pct": {
    "label": "Spread %",
    "format": "number"
  },
  "median_price": {
    "label": "Median",
    "format": "number"
  },
  "official_source": {
    "label": "Official site",
    "format": "string"
  },
  "official_price": {
    "label": "Direct rate",
    "format": "number"
  },
  "official_is_cheapest": {
    "label": "Direct is cheapest",
    "format": "boolean"
  },
  "undercut_by": {
    "label": "Undercut by",
    "format": "array"
  },
  "undercut_pct": {
    "label": "Undercut %",
    "format": "number"
  },
  "hotel_url": {
    "label": "Google Hotels",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Hotel Rate Parity Checker — OTA Price Comparison](https://apify.com/kestrel/hotel-rate-parity.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/kestrel/hotel-rate-parity.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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- **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/hotel-rate-parity.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).
