# Booking.com Availability for Four Singapore Hotels

**Use case:** 

Names as you would type them into Booking's search box, resolved through Booking's own autocomplete: four Marina Bay hotels for a two-night stay a fortnight out, in Singapore dollars. A property with no room for the dates is still delivered, free, with sold_out true and the alternative dates Booking suggests. Cost: 4 hotel rows at $0.004 = at most $0.02 a run.

## Input

```json
{
  "locationQueries": [],
  "maxHotelsPerQuery": 20,
  "startUrls": [],
  "hotelNames": [
    "Marina Bay Sands Singapore",
    "The Fullerton Hotel Singapore",
    "Pan Pacific Singapore",
    "Mandarin Oriental Singapore"
  ],
  "hotelIds": [],
  "checkIn": "14 days",
  "nights": 2,
  "adults": 2,
  "childrenAges": [],
  "rooms": 1,
  "currency": "SGD",
  "sortBy": "popularity",
  "minStars": 0,
  "maxPrice": 0,
  "includeRooms": false,
  "locale": "en-US",
  "sessions": 4,
  "perIp": 1,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

## Output

```json
{
  "name": {
    "label": "Property name",
    "format": "string"
  },
  "stars": {
    "label": "Stars",
    "format": "number"
  },
  "review_score": {
    "label": "Review score",
    "format": "number"
  },
  "price_nightly": {
    "label": "Nightly rate",
    "format": "number"
  },
  "price_total": {
    "label": "Stay total",
    "format": "number"
  },
  "currency": {
    "label": "Currency",
    "format": "string"
  },
  "taxes_included": {
    "label": "Taxes included",
    "format": "boolean"
  },
  "free_cancellation": {
    "label": "Free cancellation",
    "format": "boolean"
  },
  "breakfast_included": {
    "label": "Breakfast included",
    "format": "boolean"
  },
  "room_name": {
    "label": "Cheapest room",
    "format": "string"
  },
  "sold_out": {
    "label": "Sold out",
    "format": "boolean"
  },
  "city": {
    "label": "City",
    "format": "string"
  },
  "check_in": {
    "label": "Check-in",
    "format": "string"
  },
  "nights": {
    "label": "Nights",
    "format": "integer"
  },
  "url": {
    "label": "Property URL",
    "format": "string"
  },
  "hotel_id": {
    "label": "Hotel id",
    "format": "string"
  },
  "price_display": {
    "label": "Price as displayed",
    "format": "string"
  },
  "taxes_fees_excluded": {
    "label": "Taxes and fees not included",
    "format": "number"
  },
  "review_count": {
    "label": "Review count",
    "format": "integer"
  },
  "property_type": {
    "label": "Property type",
    "format": "string"
  },
  "display_location": {
    "label": "Neighbourhood",
    "format": "string"
  },
  "distance_from_center": {
    "label": "Distance from centre",
    "format": "string"
  },
  "rank": {
    "label": "Rank",
    "format": "integer"
  },
  "query": {
    "label": "Search target",
    "format": "string"
  }
}
```

## About this Actor

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