# Monitor one hotel rates for revenue management

**Use case:** 

Follow a single property across 90 check-in dates, the window most revenue managers actually price. Put the run on a daily schedule and keep each dataset: a change in minPricePerNight is a rate move, a change in soldOut is the market filling up, and scrapedAt keeps the history straight.

## Input

```json
{
  "hotelUrls": [
    "https://www.booking.com/hotel/ae/rove-downtown-dubai.html"
  ],
  "days": 90,
  "nights": 1,
  "adults": 2,
  "childrenAges": [],
  "rooms": 1,
  "currency": "USD",
  "language": "en-gb",
  "datesConcurrency": 3,
  "datesPerSession": 100,
  "proxy": {
    "useApifyProxy": true
  },
  "dryRun": false,
  "selectorOverrides": {}
}
```

## Output

```json
{
  "hotelName": {
    "label": "Hotel",
    "format": "text"
  },
  "hotelId": {
    "label": "Hotel ID",
    "format": "text"
  },
  "checkIn": {
    "label": "Check-in",
    "format": "text"
  },
  "checkOut": {
    "label": "Check-out",
    "format": "text"
  },
  "nights": {
    "label": "Nights",
    "format": "number"
  },
  "adults": {
    "label": "Adults",
    "format": "number"
  },
  "rooms": {
    "label": "Rooms",
    "format": "number"
  },
  "soldOut": {
    "label": "Sold out",
    "format": "boolean"
  },
  "minPricePerNight": {
    "label": "Cheapest / night",
    "format": "number"
  },
  "pricesIncludeTaxes": {
    "label": "Taxes included",
    "format": "boolean"
  },
  "cheapestTotalPrice": {
    "label": "Cheapest total",
    "format": "number"
  },
  "cheapestStrikeoutPrice": {
    "label": "Before discount",
    "format": "number"
  },
  "cheapestTaxesAndCharges": {
    "label": "Taxes on cheapest",
    "format": "text"
  },
  "currency": {
    "label": "Currency",
    "format": "text"
  },
  "cheapestRoomType": {
    "label": "Room",
    "format": "text"
  },
  "cheapestCancellationPolicy": {
    "label": "Cancellation",
    "format": "text"
  },
  "cheapestPrepaymentPolicy": {
    "label": "Prepayment"
  },
  "cheapestRoomsLeft": {
    "label": "Rooms left",
    "format": "number"
  },
  "offersCount": {
    "label": "Offers",
    "format": "number"
  },
  "hotelUrl": {
    "label": "Hotel page",
    "format": "link"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "date"
  }
}
```

## About this Actor

This example demonstrates how to use [Booking.com Hotel Price Calendar Scraper](https://apify.com/aleksandrbooking/booking-rate-calendar.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/aleksandrbooking/booking-rate-calendar.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/booking-rate-calendar.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`).