Extract hotel data from Booking.com - property names, positions in search results, nightly rates, guest ratings, review counts, star classifications, descriptions, images, and direct listing links - to compare accommodations and monitor hospitality market pricing.
Booking.com is the world's largest online travel agency, listing over 28 million accommodation options from hotels and apartments to hostels and vacation rentals. Search results display property names, positions, nightly rates, guest review scores (on a 1-10 scale), total review counts, star ratings, location descriptions, property images, and direct links to each listing. This data is immensely valuable across the hospitality industry. Revenue managers at hotels track competitor pricing daily to adjust their own rates.
Travel agencies compare options for client bookings. Market researchers analyze pricing trends across destinations. Corporate travel managers evaluate accommodation costs for budgeting. Real estate investors study hospitality market dynamics.
The challenge is that Booking.com's pricing is dynamic - rates change based on demand, season, lead time, and even the device or location of the searcher. Systematic data collection requires automation. This robot extracts hotel listing data from Booking.com search results pages.
What Booking.com scraping delivers:
| Position | Hotel Name | Hotel Rate | Score Number | Hotel Link |
|---|---|---|---|---|
| #1 | Grand Plaza Hotel | $125 | 8.5 | booking.com/h/grand-plaza |
| #2 | Seaside Resort & Spa | $189 | 9.1 | booking.com/h/seaside-resort |
| #3 | Downtown Budget Inn | $65 | 7.8 | booking.com/h/downtown-budget |
| #4 | Luxury Penthouse Suites | $450 | 9.3 | booking.com/h/luxury-penthouse |
| #5 | Riverside Boutique Hotel | $145 | 8.7 | booking.com/h/riverside-boutique |
No Booking.com account needed. The robot reads public search results and extracts hotel listing data.
Ready to get started?
Try this robot free →Hotel listing data powers revenue management, market research, and travel planning:
Each hotel listing provides:
| Field | What it contains |
|---|---|
| Position | Search result ranking position on the page. |
| Hotel Name | Hotel or accommodation property name. |
| Hotel Rate | Current nightly price per room. |
| Address | Property location and neighborhood description. |
| Score Number | Booking.com guest review score on a 1-10 scale. |
| Price and Discounted Price | Original and any promotional pricing. |
| Score Letter | Star rating classification of the property. |
| Reviews | Total number of guest reviews submitted. |
| Description | Property summary and key details. |
| Hotel Link | Direct URL to the property's Booking.com listing page. |
| Image | Property photo or thumbnail image. |
Hospitality market intelligence for pricing, competitive analysis, and travel planning.
Are prices on Booking.com always accurate?
Prices are real-time for the search parameters you specify. They can change frequently based on demand, available rooms, and promotional offers. Extract at consistent times for reliable comparisons.
Can I extract reviews text, not just ratings?
This robot extracts listing-level data from search results, including aggregate ratings and review counts. Individual review text requires navigating to specific property detail pages.
Does this work for vacation rentals and apartments on Booking.com?
Yes. Booking.com lists apartments, vacation rentals, and other accommodation types alongside hotels. The robot extracts whatever appears in the search results.
Pair hospitality data with these travel and market intelligence robots:
Extract Booking.com listings for competitive rate analysis, market research, and travel planning.
