# Your hotel against its competitors, date by date

**Use case:** 

Your hotel and the hotels you compete with, priced for the next 30 dates. The COMPSET record gives your price, the competitors' lowest, median and highest, your rank and your rate index on every date. Put your hotel under "Your hotel".

## Input

```json
{
  "hotels": [
    "Radisson Blu Batumi",
    "Sheraton Batumi Hotel",
    "Le Meridien Batumi",
    "Courtyard by Marriott Batumi"
  ],
  "myHotel": "Hilton Batumi",
  "searchQueries": [],
  "maxHotelsPerSearch": 10,
  "daysAhead": 1,
  "dates": 30,
  "stepDays": 1,
  "nights": 1,
  "adults": 2,
  "childrenAges": [],
  "currency": "USD",
  "country": "us",
  "language": "en",
  "trackChanges": true,
  "alertDropPercent": 10,
  "alertBelowUsualPercent": 15,
  "includeOffers": true,
  "concurrency": 5,
  "proxy": {
    "useApifyProxy": true
  },
  "dryRun": false
}
```

## Output

```json
{
  "name": {
    "label": "Hotel",
    "format": "text"
  },
  "checkIn": {
    "label": "Check-in",
    "format": "text"
  },
  "dayOfWeek": {
    "label": "Day",
    "format": "text"
  },
  "price": {
    "label": "Lowest price / night",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "text"
  },
  "cheapestSite": {
    "label": "Cheapest on",
    "format": "text"
  },
  "priceLevel": {
    "label": "Level for the dates",
    "format": "text"
  },
  "typicalLow": {
    "label": "Typical low",
    "format": "number"
  },
  "typicalHigh": {
    "label": "Typical high",
    "format": "number"
  },
  "usualDeltaPercent": {
    "label": "vs usual (%)",
    "format": "number"
  },
  "available": {
    "label": "Priced",
    "format": "boolean"
  },
  "alerts": {
    "label": "Alerts",
    "format": "array"
  },
  "googleUrl": {
    "label": "Google Hotels page",
    "format": "link"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Google Hotels Price Tracker: Calendar, Deals & Typical Range Actor is ready to run with the inputs already set for "Your hotel against its competitors, date by date". [Sign up or log in](https://console.apify.com/create-task-from-example/nc6AOV1Q1lspNqmDX) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Your hotel against its competitors, date by date" task

The Google Hotels Price Tracker: Calendar, Deals & Typical Range Actor will start running based on the input automatically. You can also change all the input fields, like hotels, your hotel, and more, to match your specific use case.

### 3. Receive the "Your hotel against its competitors, date by date" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as hotel, check-in, day, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Your hotel against its competitors, date by date" task via API](https://apify.com/aleksandrbooking/google-hotels-price-tracker.md).

## About this Actor

This example demonstrates how to use [Google Hotels Price Tracker: Calendar, Deals & Typical Range](https://apify.com/aleksandrbooking/google-hotels-price-tracker.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/aleksandrbooking/google-hotels-price-tracker.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/aleksandrbooking/google-hotels-price-tracker.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).