Booking Scraper | Hotel Prices, Photos, Availability
Pricing
from $1.70 / 1,000 results
Booking Scraper | Hotel Prices, Photos, Availability
Scrape Booking.com hotels at scale. Extract prices, ratings, reviews, photos, availability for any destination. Filter by stars, price, score. Get 20+ data points per hotel. Supports all currencies & languages. Fast, reliable with residential proxies
Pricing
from $1.70 / 1,000 results
Rating
0.0
(0)
Developer
SilentFlow
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2
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7
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0
Monthly active users
2 days ago
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Booking Scraper
From SilentFlow. Creators of Facebook Search Scraper and JD Products Scraper (#1 for โjd scraperโ in Apify Store search), with 940,000+ combined lifetime runs.
by SilentFlow
โจ Why use this scraper?
- ๐ 20+ data fields, Prices, reviews, photos, amenities, and more per hotel
- ๐ Global coverage, Search any destination worldwide
- ๐ Keyword or URL, Type a city, neighbourhood, landmark or hotel name, list several in one run, or paste a Booking.com URL
| SilentFlow ยท Booking suite | |
Booking.com Hotel Scraper | You are here |
๐ฏ Use cases
|-----------------|---------------------| | You need predictable costs | You're scraping thousands of hotels | | You're testing or prototyping | You're running scheduled jobs | | Budget is per-result focused | Budget is time-based |
๐ฅ 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: Search by keyword. Type a destination in location, and add as many destinations, neighbourhoods, landmarks or hotel names as you like in searches, one per line.
| Parameter | Type | Required | Description |
|---|---|---|---|
searchUrl | string | No | Full Booking.com search URL with all filters applied |
location | string | No | City, region, neighbourhood, landmark or hotel name (e.g., "Paris", "Bali", "Eiffel Tower") |
searches | array | No | More searches in the same run, one per line: keywords like "Rome", "Le Marais" or "Hilton London Paddington", or Booking.com search URLs |
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) |
Fill at least one of searchUrl, location or searches. When searchUrl is set, location is ignored, and every line of searches still runs. A hotel found by two searches is returned once.
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 for each search (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.
enrichDetailsadds ~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.
๐ Output data
Each hotel record contains:
{"hotelId": "12345678","name": "Le Grand Hotel Paris","type": "Hotel","url": "https://www.booking.com/hotel/fr/le-grand-paris.html","address": "2 Rue Scribe","city": "Paris","country": "fr","latitude": 48.8706,"longitude": 2.3315,"distanceFromCenter": "0.3 km from center","publicTransport": "Opรฉra station is within 100 yards","starRating": 5,"reviewScore": 9.1,"reviewCount": 4521,"reviewWord": "Superb","price": 580.00,"originalPrice": 650.00,"currency": "EUR","pricePerNight": 290.00,"taxesAndCharges": 58.00,"mainPhoto": "https://cf.bstatic.com/xdata/images/hotel/...","photos": ["https://cf.bstatic.com/..."],"checkIn": "2026-06-15","checkOut": "2026-06-17","description": "Located near the Opรฉra Garnier...","facilities": ["Free WiFi", "Spa", "Restaurant"],"highlights": ["Excellent location", "Luxury rooms"],"freeCancellation": true,"breakfastIncluded": true,"noPrepayment": false,"isPreferred": true,"isSustainable": true,"scrapedAt": "2026-04-01T12:00:00Z"}
๐๏ธ 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 |
๐ Examples
Simple search, Dubai hotels
{"location": "Dubai","maxItems": 20,"currency": "USD"}
Several destinations, landmarks and hotels in one run
{"searches": ["Lisbon", "Eiffel Tower", "Hilton London Paddington"],"checkIn": "2026-10-12","checkOut": "2026-10-14","maxItems": 30,"currency": "EUR"}
A landmark returns the hotels around it, a hotel name returns that hotel first, then the ones nearby.
Rich data with photos & description
{"location": "Cinque Terre, Italy","maxItems": 50,"currency": "EUR","enrichDetails": true}
Using a Booking.com URL (with all filters)
{"searchUrl": "https://www.booking.com/searchresults.html?ss=Bangkok&checkin=2026-08-01&checkout=2026-08-03&nflt=price%3DUSD-min-50-1%3Bfc%3D2","maxItems": 50}
๐ป Integrations
Python
from apify_client import ApifyClientclient = ApifyClient("YOUR_API_TOKEN")run = client.actor("silentflow/booking-scraper").call(run_input={"location": "Amsterdam","maxItems": 50,"currency": "EUR"})for hotel in client.dataset(run["defaultDatasetId"]).iterate_items():print(f"{hotel['name']}: โฌ{hotel['price']}")
JavaScript
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });const run = await client.actor('silentflow/booking-scraper').call({location: 'Vienna',maxItems: 30,currency: 'EUR'});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(`Got ${items.length} hotels`);
๐ Performance & limits
| Metric | Value |
|---|---|
| Hotels per page | ~25 |
| Average speed | ~25 hotels/second |
| Max items per run | 1,000 |
| Supported destinations | Worldwide |
๐ก Tips for best results
- Use
maxItemswisely, Only request what you need to control costs - Use
searchUrlfor advanced filters, Set price range, stars, review score on booking.com, then paste the URL - Be specific, "Paris, France" instead of "Paris" avoids wrong results
- Batch your destinations, Put every city, landmark or hotel you track in
searchesand get them all in one dataset - Test first, Try with
maxItems: 5to verify your search works
โ FAQ
Q: What if no hotels are found?
Q: What if the run fails?
Q: Is there a minimum charge? A: No minimum. Get 1 hotel = pay for 1 hotel.
Q: Are proxy costs included?
Q: Can I search for a hotel by name or for hotels near a landmark?
A: Yes. Type the hotel name ("Hilton London Paddington") or the landmark ("Eiffel Tower") in location or in searches, just like on booking.com.
Q: Can I scrape several cities in one run?
A: Yes. List them in searches, one per line. Each search returns up to maxItems hotels, and a hotel found twice is returned once.
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.
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