# Hotel price calendar: Rome over the next 30 check-in dates

**Use case:** 

The same Rome hotel search repeated for 30 consecutive check-in dates, 1 night each, so you can see which nights are cheap and which are expensive: per-date median, minimum and maximum price, cheapest and best-value hotel, with every hotel's price for every date. Change the city, the number of dates or the gap between them for any price calendar.

## Input

```json
{
  "locations": [
    "Rome"
  ],
  "nights": 1,
  "numberOfDates": 30,
  "daysBetweenDates": 1,
  "adults": 2,
  "childrenAges": [],
  "rooms": 1,
  "currency": "EUR",
  "language": "en-gb",
  "maxHotelsPerLocation": 25,
  "sortBy": "best_value",
  "hotelClasses": [],
  "propertyTypes": [],
  "freeCancellation": false,
  "breakfastIncluded": false,
  "includeSummary": true,
  "onlyChanges": false,
  "alertOnPriceDropPct": 10,
  "maxNotifications": 30,
  "useBrowser": true,
  "proxy": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "location": {
    "label": "Location",
    "format": "string"
  },
  "checkIn": {
    "label": "Check in",
    "format": "string"
  },
  "nights": {
    "label": "Nights",
    "format": "string"
  },
  "propertiesOnSite": {
    "label": "Properties on site"
  },
  "hotelsDelivered": {
    "label": "Hotels delivered"
  },
  "medianPricePerNight": {
    "label": "Median price per night"
  },
  "minPricePerNight": {
    "label": "Min price per night"
  },
  "maxPricePerNight": {
    "label": "Max price per night"
  },
  "medianReviewScore": {
    "label": "Median review score"
  },
  "shareFreeCancellationPct": {
    "label": "Share free cancellation pct"
  },
  "shareBreakfastIncludedPct": {
    "label": "Share breakfast included pct"
  },
  "byStars": {
    "label": "By stars"
  },
  "cheapest": {
    "label": "Cheapest"
  },
  "bestValue": {
    "label": "Best value"
  },
  "status": {
    "label": "Status"
  }
}
```

## How it works

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

The Booking.com Scraper: Hotel Prices, Ratings, Deals & Alerts Actor is ready to run with the inputs already set for "Hotel price calendar: Rome over the next 30 check-in dates". [Sign up or log in](https://console.apify.com/create-task-from-example/wqdSzaDQs3DPqgPxk) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Hotel price calendar: Rome over the next 30 check-in dates" task

The Booking.com Scraper: Hotel Prices, Ratings, Deals & Alerts Actor will start running based on the input automatically. You can also change all the input fields, like locations, nights, and more, to match your specific use case.

### 3. Receive the "Hotel price calendar: Rome over the next 30 check-in dates" 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 location, check in, nights, 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 "Hotel price calendar: Rome over the next 30 check-in dates" task via API](https://apify.com/euroscrape/booking-prices.md).

## About this Actor

This example demonstrates how to use [Booking.com Scraper: Hotel Prices, Ratings, Deals & Alerts](https://apify.com/euroscrape/booking-prices.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/euroscrape/booking-prices.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/euroscrape/booking-prices.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`).