Booking Pro: Fast Scraper

⚡ Lightning-fast extraction of essential hotel data from Booking.com

Professional scraper optimized for speed and efficiency. Extract basic hotel information from search results without visiting individual hotel pages. Perfect for price monitoring, market research, and bulk data collection.

⭐ Key Features

• Ultra-fast scraping — No detailed page visits, extracts data directly from search results
• Bulk collection — Scrape 1000+ hotels in minutes
• Real-time prices — Get current pricing with browser rendering
• Pagination support — Automatic URL offset pagination for unlimited results
• Smart filtering — Filter by rating, stars, and property type
• Reliable extraction — Multiple fallback selectors for robust data collection
• Cost-effective — Lower pricing than detailed scrapers

📊 What Data You Get

Extracts 9 essential fields per hotel:

Field	Description
name	Hotel name
url	Direct Booking.com URL
location	City/neighborhood location
price	Formatted price (e.g., "US$450")
priceAmount	Numeric price for sorting
rating	Guest rating score (0-10)
mainPhoto	Hotel thumbnail image URL
stars	Star rating (1-5, when available)
type	Property type (hotel, apartment, etc.)

🚀 How to Use

Option 1: Apify Console

1. Click "Try for free" or "Start"
2. Enter your destination (e.g., "Barcelona", "New York")
3. Set check-in and check-out dates
4. Choose maximum results (up to 1000)
5. Optionally set filters (min rating, property type)
6. Click "Start" and wait for results
7. Download data in JSON, CSV, or Excel format

Option 2: API Integration

import { ApifyClient } from 'apify-client';

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

const input = {
    destination: "Barcelona",
    checkIn: "2026-03-15",
    checkOut: "2026-03-18",
    adults: 2,
    maxResults: 100,
    minRating: 8.0
};

const run = await client.actor("brilliant_gum/booking-pro-fast-scraper").call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

💰 Pricing

Pay per result model:

• $2.00 per 1,000 hotels scraped
• Platform compute costs apply (~$0.50-1 per 1000 hotels)
• No hidden fees

Example costs:

• 100 hotels: $0.20 + compute (~$0.30 total)
• 500 hotels: $1.00 + compute (~$1.50 total)
• 1000 hotels: $2.00 + compute (~$3.00 total)

⚡ Performance

• Speed: 1000 hotels in approximately 5-10 minutes
• Efficiency: No detailed page visits = faster scraping
• Scalability: Supports pagination for unlimited results
• Reliability: 95%+ success rate with anti-bot protection

📥 Output Example

{
  "name": "Hotel Arts Barcelona",
  "url": "https://www.booking.com/hotel/es/arts-barcelona.html",
  "location": "Ciutat Vella, Barcelona",
  "price": "US$450",
  "priceAmount": 450,
  "rating": 9.1,
  "mainPhoto": "https://cf.bstatic.com/xdata/images/hotel/square240/12345.webp",
  "stars": 5,
  "type": "hotel"
}

💼 Use Cases

• Price monitoring — Track competitor pricing and availability
• Market research — Analyze hotel pricing trends by location
• Lead generation — Build hotel databases for business development
• Travel platforms — Integrate real-time hotel data into your app
• Data journalism — Research hospitality industry trends
• Quick exports — Generate hotel listings for reports

❓ FAQ

Q: How is this different from the Full Data Scraper? A: Fast Scraper extracts only basic info from search results (9 fields). Full Data Scraper visits each hotel page for comprehensive data (27 fields including reviews, amenities, descriptions).

Q: Why are some star ratings null? A: Not all properties display star ratings. Apartments, hostels, and guesthouses typically don't have official star classifications.

Q: Can I scrape more than 1000 hotels? A: Yes, the scraper supports pagination. Set maxResults higher, though very large runs may take longer.

Q: Do you handle Booking.com's anti-bot protection? A: Yes, the scraper uses residential proxies, stealth mode, and smart delays to avoid detection.

🔗 Need More Data?

Check out Booking Pro: Full Data Scraper for comprehensive extraction including:

• Guest reviews (up to 25 per hotel)
• Full amenities lists
• House rules and policies
• Complete photo galleries
• Detailed descriptions
• Room types and pricing
• GPS coordinates

🆘 Support

Having issues?

• Use the thumbs down button to report problems
• Check run logs for error details
• Ensure dates are in YYYY-MM-DD format and in the future