Scrape Booking.com hotel listings

Pull hotel names, prices, ratings, and locations from Booking.com search results.

Prerequisites

• A Browserless API token from your account dashboard

Steps

Booking.com runs aggressive bot detection, including fingerprint checks, CAPTCHAs, and dynamic content that loads differently for automated requests. The examples below navigate directly to a pre-formed search URL and extract hotel listing data. All three tabs route through stealth mode and a residential proxy, which is what makes them work where plain requests don't.

Selector stability

Booking.com updates its markup regularly and may show a currency or location modal on first load. If selectors return empty results, check whether an overlay modal appeared and update the CSS selectors to match the current DOM structure.

AI Agent

Use the Browserless MCP server to scrape hotel listings from Booking.com from any MCP-compatible AI agent (Claude Desktop, Cursor, Windsurf, ChatGPT, etc.).

1. Connect the MCP server

Send this prompt to your AI agent to install the Browserless MCP server:

Go to https://github.com/browserless/browserless-mcp/blob/main/install.md
and follow the instructions to install the Browserless MCP server
for my client.

2. Scrape Booking.com

Use browserless_smartscraper. Booking.com has bot protection and smartscraper handles it automatically.

Use the browserless_smartscraper tool to scrape hotel listings
from https://www.booking.com/searchresults.html?ss=New+York
and return the results as markdown

REST API

Send the BQL mutation over HTTP to the stealth endpoint. No browser library or BQL IDE required.

cURL

View Full Code on GitHub

1. Send the request

curl -X POST \
  "https://production-sfo.browserless.io/stealth/bql?token=YOUR_API_TOKEN_HERE&proxy=residential&proxyCountry=us" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "mutation ScrapeBooking { goto(url: \"https://www.booking.com/searchresults.html?ss=New+York&checkin=2026-09-01&checkout=2026-09-02&group_adults=2\", waitUntil: networkIdle) { status } hotels: mapSelector(selector: \"[data-testid='\''property-card'\'']\") { name: mapSelector(selector: \"[data-testid='\''title'\'']\") { innerText } price: mapSelector(selector: \"[data-testid='\''price-and-discounted-price'\'']\") { innerText } rating: mapSelector(selector: \"[data-testid='\''review-score'\'']\") { innerText } location: mapSelector(selector: \"[data-testid='\''address'\'']\") { innerText } } }",
    "variables": {}
  }'

2. Check the output

{
  "data": {
    "goto": { "status": 200 },
    "hotels": [
      {
        "name": [{ "innerText": "The Manhattan Hotel" }],
        "price": [{ "innerText": "$189" }],
        "rating": [{ "innerText": "8.5" }],
        "location": [{ "innerText": "Midtown Manhattan, New York" }]
      },
      {
        "name": [{ "innerText": "Brooklyn Heights Suites" }],
        "price": [{ "innerText": "$142" }],
        "rating": [{ "innerText": "7.9" }],
        "location": [{ "innerText": "Brooklyn Heights, New York" }]
      }
    ]
  }
}

JavaScript

View Full Code on GitHub

1. Send the request

const query = `mutation ScrapeBooking {
  goto(
    url: "https://www.booking.com/searchresults.html?ss=New+York&checkin=2026-09-01&checkout=2026-09-02&group_adults=2"
    waitUntil: networkIdle
  ) {
    status
  }
  hotels: mapSelector(selector: "[data-testid='property-card']") {
    name: mapSelector(selector: "[data-testid='title']") {
      innerText
    }
    price: mapSelector(selector: "[data-testid='price-and-discounted-price']") {
      innerText
    }
    rating: mapSelector(selector: "[data-testid='review-score']") {
      innerText
    }
    location: mapSelector(selector: "[data-testid='address']") {
      innerText
    }
  }
}`;

const response = await fetch(
  'https://production-sfo.browserless.io/stealth/bql?token=YOUR_API_TOKEN_HERE&proxy=residential&proxyCountry=us',
  {
    method: 'POST',
    headers: { 'Content-Type': 'application/json' },
    body: JSON.stringify({ query, variables: {} }),
  }
);

const { data } = await response.json();
const hotels = data.hotels.map((hotel) => ({
  name: hotel.name?.[0]?.innerText ?? '',
  price: hotel.price?.[0]?.innerText ?? '',
  rating: hotel.rating?.[0]?.innerText ?? '',
  location: hotel.location?.[0]?.innerText ?? '',
}));
console.log(JSON.stringify(hotels, null, 2));

2. Check the output

{
  "data": {
    "goto": { "status": 200 },
    "hotels": [
      {
        "name": [{ "innerText": "The Manhattan Hotel" }],
        "price": [{ "innerText": "$189" }],
        "rating": [{ "innerText": "8.5" }],
        "location": [{ "innerText": "Midtown Manhattan, New York" }]
      },
      {
        "name": [{ "innerText": "Brooklyn Heights Suites" }],
        "price": [{ "innerText": "$142" }],
        "rating": [{ "innerText": "7.9" }],
        "location": [{ "innerText": "Brooklyn Heights, New York" }]
      }
    ]
  }
}

Python

View Full Code on GitHub

1. Install dependencies

pip install requests

2. Send the request

import requests

query = """
mutation ScrapeBooking {
  goto(
    url: "https://www.booking.com/searchresults.html?ss=New+York&checkin=2026-09-01&checkout=2026-09-02&group_adults=2"
    waitUntil: networkIdle
  ) {
    status
  }
  hotels: mapSelector(selector: "[data-testid='property-card']") {
    name: mapSelector(selector: "[data-testid='title']") {
      innerText
    }
    price: mapSelector(selector: "[data-testid='price-and-discounted-price']") {
      innerText
    }
    rating: mapSelector(selector: "[data-testid='review-score']") {
      innerText
    }
    location: mapSelector(selector: "[data-testid='address']") {
      innerText
    }
  }
}
"""

response = requests.post(
    'https://production-sfo.browserless.io/stealth/bql',
    params={
        'token': 'YOUR_API_TOKEN_HERE',
        'proxy': 'residential',
        'proxyCountry': 'us',
    },
    json={'query': query, 'variables': {}},
)

data = response.json()['data']
for hotel in data['hotels']:
    name = hotel['name'][0]['innerText'] if hotel['name'] else ''
    price = hotel['price'][0]['innerText'] if hotel['price'] else ''
    rating = hotel['rating'][0]['innerText'] if hotel['rating'] else ''
    location = hotel['location'][0]['innerText'] if hotel['location'] else ''
    print(f'{name} — {price} — {rating} — {location}')

3. Check the output

{
  "data": {
    "goto": { "status": 200 },
    "hotels": [
      {
        "name": [{ "innerText": "The Manhattan Hotel" }],
        "price": [{ "innerText": "$189" }],
        "rating": [{ "innerText": "8.5" }],
        "location": [{ "innerText": "Midtown Manhattan, New York" }]
      },
      {
        "name": [{ "innerText": "Brooklyn Heights Suites" }],
        "price": [{ "innerText": "$142" }],
        "rating": [{ "innerText": "7.9" }],
        "location": [{ "innerText": "Brooklyn Heights, New York" }]
      }
    ]
  }
}

Java

View Full Code on GitHub

1. Send the request

import java.net.URI;
import java.net.http.*;

String token = "YOUR_API_TOKEN_HERE";
String endpoint = "https://production-sfo.browserless.io/stealth/bql?token=" + token
    + "&proxy=residential&proxyCountry=us";

String query = "mutation ScrapeBooking {"
    + " goto(url: \\\"https://www.booking.com/searchresults.html?ss=New+York&checkin=2026-09-01&checkout=2026-09-02&group_adults=2\\\","
    + " waitUntil: networkIdle) { status }"
    + " hotels: mapSelector(selector: \\\"[data-testid='property-card']\\\") {"
    + "   name: mapSelector(selector: \\\"[data-testid='title']\\\") { innerText }"
    + "   price: mapSelector(selector: \\\"[data-testid='price-and-discounted-price']\\\") { innerText }"
    + "   rating: mapSelector(selector: \\\"[data-testid='review-score']\\\") { innerText }"
    + "   location: mapSelector(selector: \\\"[data-testid='address']\\\") { innerText }"
    + " }"
    + " }";

String payload = "{\"query\": \"" + query + "\", \"variables\": {}}";

HttpClient client = HttpClient.newHttpClient();
HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create(endpoint))
    .header("Content-Type", "application/json")
    .POST(HttpRequest.BodyPublishers.ofString(payload))
    .build();

HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

2. Check the output

{
  "data": {
    "goto": { "status": 200 },
    "hotels": [
      {
        "name": [{ "innerText": "The Manhattan Hotel" }],
        "price": [{ "innerText": "$189" }],
        "rating": [{ "innerText": "8.5" }],
        "location": [{ "innerText": "Midtown Manhattan, New York" }]
      },
      {
        "name": [{ "innerText": "Brooklyn Heights Suites" }],
        "price": [{ "innerText": "$142" }],
        "rating": [{ "innerText": "7.9" }],
        "location": [{ "innerText": "Brooklyn Heights, New York" }]
      }
    ]
  }
}

C#

View Full Code on GitHub

1. Send the request

using System.Net.Http;
using System.Text;
using System.Text.Json;

string token = "YOUR_API_TOKEN_HERE";
string endpoint = $"https://production-sfo.browserless.io/stealth/bql?token={token}&proxy=residential&proxyCountry=us";

var payload = new
{
    query = @"mutation ScrapeBooking {
      goto(
        url: ""https://www.booking.com/searchresults.html?ss=New+York&checkin=2026-09-01&checkout=2026-09-02&group_adults=2""
        waitUntil: networkIdle
      ) { status }
      hotels: mapSelector(selector: ""[data-testid='property-card']"") {
        name: mapSelector(selector: ""[data-testid='title']"") { innerText }
        price: mapSelector(selector: ""[data-testid='price-and-discounted-price']"") { innerText }
        rating: mapSelector(selector: ""[data-testid='review-score']"") { innerText }
        location: mapSelector(selector: ""[data-testid='address']"") { innerText }
      }
    }",
    variables = new { },
};

using (HttpClient httpClient = new HttpClient())
{
    var content = new StringContent(
        JsonSerializer.Serialize(payload), Encoding.UTF8, "application/json");
    var response = await httpClient.PostAsync(endpoint, content);
    string body = await response.Content.ReadAsStringAsync();
    Console.WriteLine(body);
}

2. Check the output

{
  "data": {
    "goto": { "status": 200 },
    "hotels": [
      {
        "name": [{ "innerText": "The Manhattan Hotel" }],
        "price": [{ "innerText": "$189" }],
        "rating": [{ "innerText": "8.5" }],
        "location": [{ "innerText": "Midtown Manhattan, New York" }]
      },
      {
        "name": [{ "innerText": "Brooklyn Heights Suites" }],
        "price": [{ "innerText": "$142" }],
        "rating": [{ "innerText": "7.9" }],
        "location": [{ "innerText": "Brooklyn Heights, New York" }]
      }
    ]
  }
}

Frameworks

Connect through stealth mode and a residential proxy so Booking.com sees a real-looking browser session, then extract hotel data from the rendered listings.

Puppeteer

View Full Code on GitHub

1. Install dependencies

npm install puppeteer-core

2. Connect and scrape

import puppeteer from 'puppeteer-core';

const browser = await puppeteer.connect({
  browserWSEndpoint:
    'wss://production-sfo.browserless.io/stealth?token=YOUR_API_TOKEN_HERE&proxy=residential&proxyCountry=us',
});

try {
  const page = await browser.newPage();
  await page.goto(
    'https://www.booking.com/searchresults.html?ss=New+York&checkin=2026-09-01&checkout=2026-09-02&group_adults=2',
    { waitUntil: 'networkidle2' }
  );

  // Wait for property cards to confirm the listings have rendered.
  await page.waitForSelector('[data-testid="property-card"]');

  const hotels = await page.evaluate(() =>
    Array.from(document.querySelectorAll('[data-testid="property-card"]')).map((card) => ({
      name: card.querySelector('[data-testid="title"]')?.innerText?.trim() ?? null,
      price: card.querySelector('[data-testid="price-and-discounted-price"]')?.innerText?.trim() ?? null,
      rating: card.querySelector('[data-testid="review-score"]')?.innerText?.trim() ?? null,
      location: card.querySelector('[data-testid="address"]')?.innerText?.trim() ?? null,
    }))
  );

  console.log(JSON.stringify(hotels, null, 2));
} finally {
  // Always close to release the session even on error.
  await browser.close();
}

3. Check the output

Run with node scrape-booking.mjs. null values mean the selector wasn't matched. Increase the waitForSelector timeout or check whether a modal intercepted the page load.

[
  {
    "name": "The Manhattan Hotel",
    "price": "$189",
    "rating": "8.5",
    "location": "Midtown Manhattan, New York"
  },
  {
    "name": "Brooklyn Heights Suites",
    "price": "$142",
    "rating": "7.9",
    "location": "Brooklyn Heights, New York"
  }
]

Playwright

View Full Code on GitHub

1. Install dependencies

npm install playwright-core

2. Connect and scrape

import { chromium } from 'playwright-core';

const browser = await chromium.connectOverCDP(
  'wss://production-sfo.browserless.io?token=YOUR_API_TOKEN_HERE&stealth&proxy=residential&proxyCountry=us'
);

try {
  const context = browser.contexts()[0];
  const page = await context.newPage();
  await page.goto(
    'https://www.booking.com/searchresults.html?ss=New+York&checkin=2026-09-01&checkout=2026-09-02&group_adults=2',
    { waitUntil: 'networkidle' }
  );

  // Wait for property cards to confirm the listings have rendered.
  await page.waitForSelector('[data-testid="property-card"]');

  const hotels = await page.evaluate(() =>
    Array.from(document.querySelectorAll('[data-testid="property-card"]')).map((card) => ({
      name: card.querySelector('[data-testid="title"]')?.innerText?.trim() ?? null,
      price: card.querySelector('[data-testid="price-and-discounted-price"]')?.innerText?.trim() ?? null,
      rating: card.querySelector('[data-testid="review-score"]')?.innerText?.trim() ?? null,
      location: card.querySelector('[data-testid="address"]')?.innerText?.trim() ?? null,
    }))
  );

  console.log(JSON.stringify(hotels, null, 2));
} finally {
  // Always close to release the session even on error.
  await browser.close();
}

3. Check the output

Run with node scrape-booking.mjs. null values mean the selector wasn't matched. Increase the waitForSelector timeout or check whether a modal intercepted the page load.

[
  {
    "name": "The Manhattan Hotel",
    "price": "$189",
    "rating": "8.5",
    "location": "Midtown Manhattan, New York"
  },
  {
    "name": "Brooklyn Heights Suites",
    "price": "$142",
    "rating": "7.9",
    "location": "Brooklyn Heights, New York"
  }
]

BQL

View Full Code on GitHub

1. Write the mutation

Navigate to the search results URL and use nested mapSelector calls to pull name, price, rating, and location from each property card. We send this to /stealth/bql instead of the default /bql because Booking.com's bot detection blocks plain browser sessions before listings load.

mutation ScrapeBooking {
  goto(
    url: "https://www.booking.com/searchresults.html?ss=New+York&checkin=2026-09-01&checkout=2026-09-02&group_adults=2"
    waitUntil: networkIdle
  ) {
    status
  }
  hotels: mapSelector(selector: "[data-testid='property-card']") {
    name: mapSelector(selector: "[data-testid='title']") {
      innerText
    }
    price: mapSelector(selector: "[data-testid='price-and-discounted-price']") {
      innerText
    }
    rating: mapSelector(selector: "[data-testid='review-score']") {
      innerText
    }
    location: mapSelector(selector: "[data-testid='address']") {
      innerText
    }
  }
}

2. Run it

Paste into the BQL IDE and click Run.

3. Check the output

{
  "data": {
    "goto": { "status": 200 },
    "hotels": [
      {
        "name": [{ "innerText": "The Manhattan Hotel" }],
        "price": [{ "innerText": "$189" }],
        "rating": [{ "innerText": "8.5" }],
        "location": [{ "innerText": "Midtown Manhattan, New York" }]
      },
      {
        "name": [{ "innerText": "Brooklyn Heights Suites" }],
        "price": [{ "innerText": "$142" }],
        "rating": [{ "innerText": "7.9" }],
        "location": [{ "innerText": "Brooklyn Heights, New York" }]
      }
    ]
  }
}

Next steps

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another stealth-mode scrape against aggressive bot detection

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