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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

📥 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.

Either searchUrl or location is required.

Options

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

🚀 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 =newApifyClient({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

💡 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