Booking.com Hotel Scraper

by SilentFlow

Extract hotel data from Booking.com at scale. Get prices, ratings, reviews, photos, and availability for any destination worldwide.

✨ Why use this scraper?

• 📊 Comprehensive data — 20+ fields per hotel: prices, reviews, photos, amenities, and more
• 🌍 Global coverage — Search any destination worldwide: cities, regions, or entire countries
• 💰 Real-time prices — Get current availability and pricing for your dates
• ⚡ Fast & reliable — ~25 hotels/second with residential proxy support

🎯 Use cases

Industry	Application
Travel agencies	Compare hotel prices across destinations
Market research	Analyze hospitality market trends
Price monitoring	Track competitor pricing
Data analytics	Build travel recommendation systems
Academic research	Study tourism and pricing patterns

📥 Input parameters

Search

You have two options:

Option 1 (Recommended): Paste a Booking.com search URL — go to booking.com, set your destination, dates, guests, price range, stars, sort order, and any other filter, then copy the URL.

Option 2: Use the fields below for a simple location-based search.

Parameter	Type	Required	Description
searchUrl	string	No	Full Booking.com search URL with all filters applied
location	string	No	City, region, or country (e.g., "Paris", "Bali", "New York")
checkIn	string	No	Check-in date in YYYY-MM-DD (default: 7 days from now)
checkOut	string	No	Check-out date in YYYY-MM-DD (default: 8 days from now)
adults	integer	No	Number of adult guests (default: 2)
children	string	No	Comma-separated ages of children (e.g., "2,5,10")
rooms	integer	No	Number of rooms (default: 1)

Either searchUrl or location is required.

Options

Parameter	Type	Default	Description
currency	string	USD	Currency for prices (USD, EUR, GBP, JPY, etc.)
language	string	en-us	Results language (en-us, fr, de, es, it, ja, etc.)
maxItems	integer	100	Maximum hotels to return (max: 1,000)
enrichDetails	boolean	false	Visit each hotel page for full description, photos, facilities

Tip: Need to filter by price, stars, or review score? Set those filters on booking.com and paste the URL into searchUrl — the scraper reads all filters directly from the URL.

enrichDetails adds ~1-2s per hotel (3 parallel workers). A 50-hotel scrape takes ~20-30s extra. You get full descriptions, 10-60 photos per hotel, facilities list, and highlights.

📊 Output data

Each hotel record contains:

{
  "hotelId": "12345678",
  "name": "Grand Hotel Paris",
  "type": "Hotel",
  "url": "https://www.booking.com/hotel/fr/grand-hotel-paris.html",

  "address": "1 Avenue des Champs-Élysées",
  "city": "Paris",
  "country": "fr",
  "latitude": 48.8566,
  "longitude": 2.3522,
  "distanceFromCenter": "0.5 km from center",
  "publicTransport": "Champs-Élysées Clemenceau station is within 200 yards",

  "starRating": 5,
  "reviewScore": 9.2,
  "reviewCount": 2847,
  "reviewWord": "Superb",

  "price": 450.00,
  "originalPrice": 520.00,
  "currency": "EUR",
  "pricePerNight": 225.00,
  "taxesAndCharges": 45.00,

  "mainPhoto": "https://cf.bstatic.com/xdata/images/hotel/...",
  "photos": ["https://cf.bstatic.com/..."],

  "checkIn": "2026-04-15",
  "checkOut": "2026-04-17",

  "description": "Located on the Champs-Élysées...",
  "facilities": ["Free WiFi", "Spa", "Restaurant", "Parking"],
  "highlights": ["Great location", "Top-rated breakfast"],

  "freeCancellation": true,
  "breakfastIncluded": true,
  "noPrepayment": false,

  "isPreferred": true,
  "isSustainable": true,

  "scrapedAt": "2026-04-01T12:00:00Z"
}

🗂️ Data fields

Category	Fields
Identity	hotelId, name, type, url
Location	address, city, country, latitude, longitude, distanceFromCenter, publicTransport
Ratings	starRating, reviewScore, reviewCount, reviewWord
Pricing	price, originalPrice, currency, pricePerNight, taxesAndCharges, discount
Media	mainPhoto, photos
Details	description, facilities, highlights
Policies	freeCancellation, breakfastIncluded, noPrepayment
Badges	isPreferred, isPreferredPlus, isSustainable
Meta	checkIn, checkOut, scrapedAt

🚀 Examples

Simple search — Paris hotels

{
  "location": "Paris",
  "maxItems": 50
}

Detailed hotel data with photos & description

{
  "location": "Tokyo",
  "checkIn": "2026-07-01",
  "checkOut": "2026-07-05",
  "adults": 2,
  "currency": "JPY",
  "maxItems": 50,
  "enrichDetails": true
}

Using a Booking.com URL (with all filters)

{
  "searchUrl": "https://www.booking.com/searchresults.html?ss=New+York&checkin=2026-08-01&checkout=2026-08-03&nflt=class%3D5%3Breview_score%3D90",
  "maxItems": 100
}

💻 Integrations

Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("silentflow/booking-scraper").call(run_input={
    "location": "Barcelona",
    "checkIn": "2026-09-01",
    "checkOut": "2026-09-03",
    "maxItems": 50,
    "currency": "EUR"
})

for hotel in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{hotel['name']}: {hotel['price']} {hotel['currency']}")

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const run = await client.actor('silentflow/booking-scraper').call({
    location: 'London',
    checkIn: '2026-10-15',
    checkOut: '2026-10-17',
    maxItems: 100,
    currency: 'GBP'
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach(hotel => console.log(`${hotel.name}: £${hotel.price}`));

📈 Performance & limits

Metric	Value
Hotels per page	~25
Average speed	~25 hotels/second
Max items per run	1,000
Supported destinations	Worldwide

💡 Tips for best results

1. Use specific locations — "Paris, France" works better than just "Paris"
2. Use searchUrl for advanced filters — Set price range, stars, review score, sort order directly on booking.com, then paste the URL
3. Set realistic dates — Prices vary significantly by date
4. Start small — Test with maxItems: 10 before large scrapes

❓ FAQ

Q: How do I filter by price, stars, or review score? A: Go to booking.com, apply all your filters, then paste the URL into searchUrl. The scraper reads filters directly from the URL.

Q: Why are some prices different from the Booking.com website? A: Prices on Booking.com vary based on user location and login status. The scraper sees prices as a new visitor.

Q: Can I scrape hotel details pages? A: This scraper focuses on search results. For detailed info (full description, all photos, room types), contact us for a custom solution.

Q: What happens if no hotels are found? A: The scraper returns an empty dataset. Check your location spelling and date range.

📬 Support

Need help? We're here for you:

• Feature requests: Let us know what you need
• Custom solutions: Contact us for enterprise integrations or high-volume needs

Check out our other scrapers: SilentFlow on Apify