TRAVEL & HOSPITALITY
Booking.com data scraping service.
Hotel metadata, pricing, reviews, and availability from Booking.com. For hospitality consultants, travel aggregators, and revenue management teams.
The problem.
WHY THIS IS HARDER THAN IT LOOKS
Hospitality consultants, travel aggregators, and hotel revenue management teams need structured data from Booking.com. The platform has one of the largest hotel inventories globally, but does not offer a public data API for competitive research. Affiliate APIs exist but restrict data usage and do not cover all the fields visible on the site.
For hotel revenue managers, competitive rate intelligence is a daily operational requirement. A revenue manager at a mid-scale city hotel needs to know what the three competing properties on the same block are charging tonight, next weekend, and over the upcoming holiday period. That rate data, combined with review score trends and availability signals, informs the pricing decisions that directly affect RevPAR. Pulling that data manually from Booking.com is a time-consuming process that gets skipped when teams are under pressure. The extraction pipeline I run delivers that competitive rate snapshot on a scheduled basis, covering a defined competitive set across any date range the revenue manager needs, formatted for immediate use in revenue management systems or spreadsheet models.
Review score monitoring adds another dimension. A property that drops from 8.4 to 8.1 on Booking.com within a quarter is showing a signal worth investigating: either a shift in guest mix, a service consistency issue, or changes to the physical product. Revenue managers and operations teams who track competitor review scores alongside pricing trends can correlate score changes with rate adjustments and identify whether a competitor is discounting to fill rooms during a period of declining guest satisfaction.
This service extracts hotel metadata, pricing by date, guest reviews with ratings, amenity lists, and availability status. The ScrapeBase API at scrapebase.io has Booking.com endpoints for self-serve access. For managed pipelines with scheduled refresh, the service handles everything.
Is this right for you?
GOOD FIT IF ANY OF THESE SOUND LIKE YOU
You are a hospitality consultant benchmarking hotel pricing and guest satisfaction across a destination
You are a travel aggregator building a hotel comparison database
You are a revenue management team tracking competitor pricing across date ranges
You need review data for guest sentiment analysis across your competitive set
You are a hospitality consultant building a competitive rate and review dashboard for a property management client
What you receive.
EXACT FIELDS, DELIVERED IN YOUR FORMAT
Sample record.
{
"hotel_name":"The Plaza",
"star_rating": 5,
"review_score": 8.7,
"review_count": 4218,
"address":"768 5th Avenue, New York, NY 10019",
"price_per_night": 895,
"currency":"USD",
"amenities": ["Spa","Fitness Center","Concierge","Room Service"],
"extracted_at":"2026-04-14T10:00:00Z"
}PREFER TO SELF-SERVE?
Or access our Booking.com API yourself
3 ready-to-use endpoints. Pay per successful request. Built for developers.
Straightforward pricing.
SCALE DETERMINES PRICE · NO HIDDEN FEES
Market snapshot
One-time extraction for a destination or hotel set. 3-5 days.
- Up to 500 properties
- Pricing + reviews
- CSV or Google Sheet
Price monitoring
Daily or weekly pricing for tracked properties.
- Up to 200 properties
- Date-range pricing
- Price change alerts
Custom
Multi-destination, review analytics, availability tracking.
- Unlimited properties
- Multi-currency
- Scoping call required
Frequently asked questions.
EVERYTHING YOU NEED TO KNOW
Hotel profiles (name, address, star rating, amenities, nearby attractions listed), pricing by date range, guest reviews with individual ratings and reviewer nationality, search results for any destination and guest configuration, and room-level availability status by room type.
Yes. The pipeline checks pricing for configurable date ranges and tracks changes over time. This is useful for revenue managers benchmarking against competitors. The output includes price per night for each date in the requested range, room type, and any visible promotions or discounts applied to the listed rate, giving a complete picture of how a competitor is managing yield across different demand periods.
Yes. Review extraction covers review text, rating breakdown by category, reviewer nationality, and stay date. For hotels with thousands of reviews the pipeline paginates through all of them. This is useful for hospitality consultants running sentiment analysis on guest feedback across a competitive set, identifying recurring complaints or praised amenities that inform renovation priorities or marketing messaging.
Yes. The pipeline supports multi-destination extraction in a single engagement. Hospitality consultants managing properties in multiple cities can receive pricing and review data for all competitive sets in one delivery, segmented by market. Each market is delivered as a separate dataset so comparisons across destinations are clean and do not require manual sorting.
Yes. By collecting price data across a date range rather than a single check-in date, the pipeline builds a pricing curve across weeks or months. This is useful for identifying competitor pricing strategies around peak periods, holidays, and low-demand windows. Revenue managers use this seasonal view to calibrate their own rate ladder against the market rather than setting prices in isolation.
Market snapshot starts at $199 for up to 500 properties with pricing and review data. Price monitoring starts at $499 per month.