# Scrape Booking.com hotels in a city with prices

**Use case:** 

Get 200 hotels in a city from Booking.com for tomorrow's stay: price for the night, star rating, review score, property type, free cancellation, location and the hotel page. Swap Lisbon for any city, region, district, landmark or airport.

## Input

```json
{
  "destinations": [
    "Lisbon"
  ],
  "days": 1,
  "nights": 1,
  "adults": 2,
  "rooms": 1,
  "childrenAges": [],
  "currency": "EUR",
  "maxResults": 200,
  "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 "Scrape Booking.com hotels in a city with prices". [Sign up or log in](https://console.apify.com/create-task-from-example/iTtOMaHsl67PNbpxc) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Scrape Booking.com hotels in a city with prices" 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 "Scrape Booking.com hotels in a city with prices" 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 "Scrape Booking.com hotels in a city with prices" 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`).