How to use Booking.com Hotel Prices Scraper

Step by step: in the Apify Store, over the API, from JavaScript or Python, in n8n, and from AI agents through MCP or LangChain.

$2.70 per 1,000 price rows on the Free plan, down to $2.58 on higher plans (live Apify price on 2026-11-01).

1. In the Apify Store (no code)

1. Open arcadium/booking-prices and sign in to Apify (a free account works).
2. Fill in the input form. The fields below are the ones the example uses.
3. Set a maximum cost per run in the run options if you want a hard cap.
4. Start the run. Rows appear in the Output tab as they arrive.
5. Export the dataset as JSON, CSV or Excel, or connect an integration.

Example input:

{
  "startUrls": [
    {
      "url": "https://www.booking.com/hotel/fr/de-la-paix-paris1.html"
    }
  ],
  "destinationType": "CITY",
  "maxHotels": 20,
  "checkInDates": [
    "+30d"
  ],
  "nights": [
    1
  ],
  "childrenAges": [],
  "currency": "EUR",
  "includeRoomRates": false,
  "watch": false,
  "watchKey": "default",
  "digest": false,
  "digestDays": 7
}

2. Over the Apify API

The synchronous endpoint runs the actor and returns its rows in one call (for runs up to about five minutes; use the asynchronous run endpoint for longer ones).

curl -X POST "https://api.apify.com/v2/acts/arcadium~booking-prices/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"startUrls":[{"url":"https://www.booking.com/hotel/fr/de-la-paix-paris1.html"}],"destinationType":"CITY","maxHotels":20,"checkInDates":["+30d"],"nights":[1],"childrenAges":[],"currency":"EUR","includeRoomRates":false,"watch":false,"watchKey":"default","digest":false,"digestDays":7}'

3. From JavaScript

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('arcadium/booking-prices').call({
  "startUrls": [
    {
      "url": "https://www.booking.com/hotel/fr/de-la-paix-paris1.html"
    }
  ],
  "destinationType": "CITY",
  "maxHotels": 20,
  "checkInDates": [
    "+30d"
  ],
  "nights": [
    1
  ],
  "childrenAges": [],
  "currency": "EUR",
  "includeRoomRates": false,
  "watch": false,
  "watchKey": "default",
  "digest": false,
  "digestDays": 7
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

4. From Python

# pip install apify-client
import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("arcadium/booking-prices").call(run_input={
    "startUrls": [{
        "url": "https://www.booking.com/hotel/fr/de-la-paix-paris1.html",
    }],
    "destinationType": "CITY",
    "maxHotels": 20,
    "checkInDates": ["+30d"],
    "nights": [1],
    "childrenAges": [],
    "currency": "EUR",
    "includeRoomRates": False,
    "watch": False,
    "watchKey": "default",
    "digest": False,
    "digestDays": 7,
})
items = client.dataset(run.default_dataset_id).list_items().items  # apify-client 3.x returns a Run object
print(items)

5. In n8n

Paste this node into a workflow (it is a plain HTTP Request node). Create a Header Auth credential with name Authorization and value Bearer <APIFY_TOKEN>; each returned row becomes one item for the next node.

{
  "nodes": [
    {
      "name": "Run arcadium/booking-prices",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4,
      "position": [
        0,
        0
      ],
      "parameters": {
        "method": "POST",
        "url": "https://api.apify.com/v2/acts/arcadium~booking-prices/run-sync-get-dataset-items",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "{\"startUrls\":[{\"url\":\"https://www.booking.com/hotel/fr/de-la-paix-paris1.html\"}],\"destinationType\":\"CITY\",\"maxHotels\":20,\"checkInDates\":[\"+30d\"],\"nights\":[1],\"childrenAges\":[],\"currency\":\"EUR\",\"includeRoomRates\":false,\"watch\":false,\"watchKey\":\"default\",\"digest\":false,\"digestDays\":7}",
        "options": {
          "timeout": 300000
        }
      }
    }
  ],
  "connections": {}
}

6. From an AI assistant (MCP)

Add Apify’s MCP server to Claude Desktop, Cursor, VS Code or any MCP client, limited to this actor:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=arcadium/booking-prices",
      "headers": {
        "Authorization": "Bearer <APIFY_TOKEN>"
      }
    }
  }
}

More on the MCP page.

7. From LangChain

# pip install langchain-apify   (reads APIFY_API_TOKEN from the environment)
from langchain_apify import ApifyActorsTool

tool = ApifyActorsTool("arcadium/booking-prices")
rows = tool.invoke({"run_input": {
    "startUrls": [{
        "url": "https://www.booking.com/hotel/fr/de-la-paix-paris1.html",
    }],
    "destinationType": "CITY",
    "maxHotels": 20,
    "checkInDates": ["+30d"],
    "nights": [1],
    "childrenAges": [],
    "currency": "EUR",
    "includeRoomRates": False,
    "watch": False,
    "watchKey": "default",
    "digest": False,
    "digestDays": 7,
}})
# or give `tool` to an agent: create_react_agent(llm, [tool])

Sample output

One row, from the example in the actor’s README. Long text is shortened and lists are cut to two items.

{
  "rowType": "price",
  "platform": "booking",
  "hotelId": "55103",
  "hotelName": "Hôtel De La Paix",
  "hotelUrl": "https://www.booking.com/hotel/fr/de-la-paix-paris1.html",
  "stars": 3,
  "reviewScore": 8.5,
  "reviewCount": 2112,
  "city": "Paris",
  "countryCode": "fr",
  "checkIn": "2026-12-10",
  "checkOut": "2026-12-12",
  "nights": 2,
  "adults": 2,
  "children": 0,
  "rooms": 1,
  "currency": "EUR",
  "available": true,
  "soldOut": false,
  "minPrice": 236.73,
  "minPricePerNight": 118.37,
  "originalPrice": 338.18,
  "taxesAndFeesExcluded": 45.79,
  "mealPlan": "ROOM_ONLY",
  "freeCancellation": false,
  "cancellationPolicy": "non_refundable",
  "cheapestRoom": "Standard Double Room",
  "roomRates": [
    {
      "roomName": "Standard Double Room",
      "mealPlan": "ROOM_ONLY",
      "price": 236.73,
      "pricePerNight": 118.37,
      "cancellation": "non_refundable",
      "cancellationText": "Non-refundable",
      "payment": "prepayment_required"
    }
  ],
  "rateCount": 12,
  "source": "roomTable",
  "scrapedAt": "2026-10-21T08:00:00.000Z"
}

Tutorials

• Monitor Booking.com hotel prices and get only the changes

Schedule it

In Apify Console, create a Task from your input and add a Schedule (for example daily). Each run writes a new dataset; integrations can push the rows to Google Sheets, Slack, a webhook or your database.