# Compare Booking.com hotel prices day by day for a week

**Use case:** 

Search a city on Booking.com for seven check-in dates in a row and compare what the same hotels cost day by day: 50 hotels per date, one row per hotel and date. Change the city and the number of dates.

## Input

```json
{
  "destinations": [
    "Barcelona"
  ],
  "days": 7,
  "nights": 1,
  "adults": 2,
  "rooms": 1,
  "childrenAges": [],
  "currency": "EUR",
  "maxResults": 50,
  "sortBy": "popularity",
  "minReviewScore": "0",
  "freeCancellationOnly": false,
  "breakfastIncluded": false,
  "concurrency": 2,
  "proxy": {
    "useApifyProxy": true
  },
  "dryRun": false
}
```

## Output

```json
{
  "hotelName": {
    "label": "Hotel",
    "format": "text"
  },
  "accommodationType": {
    "label": "Type",
    "format": "text"
  },
  "starRating": {
    "label": "Stars",
    "format": "number"
  },
  "reviewScore": {
    "label": "Review score",
    "format": "number"
  },
  "reviewCount": {
    "label": "Reviews",
    "format": "number"
  },
  "pricePerNight": {
    "label": "Per night",
    "format": "number"
  },
  "totalPrice": {
    "label": "Total for the stay",
    "format": "number"
  },
  "priceBeforeDiscount": {
    "label": "Before discount",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "text"
  },
  "pricesIncludeTaxes": {
    "label": "Taxes included",
    "format": "boolean"
  },
  "freeCancellation": {
    "label": "Free cancellation",
    "format": "boolean"
  },
  "mealPlan": {
    "label": "Meal plan",
    "format": "text"
  },
  "roomsLeft": {
    "label": "Rooms left",
    "format": "number"
  },
  "distance": {
    "label": "Distance",
    "format": "text"
  },
  "locationLabel": {
    "label": "Area",
    "format": "text"
  },
  "checkIn": {
    "label": "Check-in",
    "format": "text"
  },
  "checkOut": {
    "label": "Check-out",
    "format": "text"
  },
  "destination": {
    "label": "Destination",
    "format": "text"
  },
  "position": {
    "label": "Position",
    "format": "number"
  },
  "hotelUrl": {
    "label": "Hotel page",
    "format": "link"
  },
  "photoUrl": {
    "label": "Photo",
    "format": "image"
  },
  "hotelId": {
    "label": "Hotel ID",
    "format": "text"
  },
  "scrapedAt": {
    "label": "Scraped at",
    "format": "date"
  }
}
```

## How it works

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

The Booking.com Scraper: Hotel Prices by City & Date Actor is ready to run with the inputs already set for "Compare Booking.com hotel prices day by day for a week". [Sign up or log in](https://console.apify.com/create-task-from-example/DyhJOb3dUYYOp9EwE) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Compare Booking.com hotel prices day by day for a week" task

The Booking.com Scraper: Hotel Prices by City & Date Actor will start running based on the input automatically. You can also change all the input fields, like places to search, how many check-in dates, and more, to match your specific use case.

### 3. Receive the "Compare Booking.com hotel prices day by day for a week" 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, type, stars, 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 "Compare Booking.com hotel prices day by day for a week" task via API](https://apify.com/aleksandrbooking/booking-scraper.md).

## About this Actor

This example demonstrates how to use [Booking.com Scraper: Hotel Prices by City & Date](https://apify.com/aleksandrbooking/booking-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/aleksandrbooking/booking-scraper.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-scraper.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`).