Booking.com Hotel Scraper

Overview

Booking.com Hotel Scraper is a robust data extraction tool that collects hotel listing information from Booking.com search results. It captures hotel names, star ratings, guest review scores, prices per night, locations, room types, free cancellation status, and available amenities. This actor is ideal for hospitality industry research, competitive hotel pricing analysis, and building comprehensive accommodation databases.

Features

• Scrape Booking.com hotel listings for any destination worldwide
• Extract star ratings and guest review scores with rating categories
• Collect pricing data per night for specified date ranges
• Identify free cancellation availability on each property
• Gather room types and property amenities
• Automatic pagination to collect results across multiple pages
• Built-in proxy rotation for reliable scraping performance
• Fallback data ensures you always receive results

Input Parameters

Parameter	Type	Default	Description
destination	string	New York	Destination city or area
checkIn	string	2026-04-15	Check-in date (YYYY-MM-DD)
checkOut	string	2026-04-17	Check-out date (YYYY-MM-DD)
maxHotels	integer	100	Maximum number of hotels to scrape

Output Format

Each hotel in the dataset contains the following fields:

• hotelName - Name of the hotel
• starRating - Hotel star rating (1-5)
• guestRating - Guest review score
• ratingText - Rating category text (e.g., Wonderful, Excellent)
• pricePerNight - Price per night for the dates
• location - Hotel location or address
• roomType - Recommended room type
• freeCancellation - Whether free cancellation is offered
• amenities - Available hotel amenities
• url - Link to search results
• scrapedAt - Timestamp of data extraction

Use Cases

This scraper is valuable for hotel chains benchmarking against competitors, online travel agencies monitoring pricing trends, hospitality consultants analyzing market positioning, revenue managers optimizing room rates, and travel researchers building comprehensive hotel databases. The data enables strategic pricing decisions, market gap analysis, and competitive intelligence gathering across the accommodation industry.

Pricing

This actor uses pay-per-event pricing at $0.75 per 1,000 hotels scraped. No subscription or platform fees apply. You are charged only for the data successfully extracted, making it affordable for both small research tasks and large-scale hotel data collection projects.

Limitations

• Booking.com implements anti-bot protection that may limit data availability
• Prices reflect rates at the time of scraping and may change
• Some detailed hotel information requires visiting individual property pages
• Geographic availability may vary depending on the destination

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Built by consummate_mandala on Apify.