Dataset MarketplaceTravelBooking Hotel Listings

Booking Hotel Listings

Use our Booking Hotel Listings dataset to access detailed information on hotels worldwide, including property features, guest reviews, availability, and amenities. Popular use cases include travel recommendation systems, competitive benchmarking, market analysis, and pricing optimization. Use it for enrichment, market research, and lead generation — sample the fields free, then pull the records you need on demand.
booking.com Public web data Monthly refresh
Data-fields
28
Total records
5M
Price
up to $0.005/record
Min order
$350
Data sample
Description
Statistics
Dictionary
Related
Data sample
urlcitytitlecountryhotel_idlocationdb_sourcetimestamp
https://www.booking.com/hotel/jp/wu-xiang-an-jin-jiu-jing.htmlSagamihara武相庵 津久井Japan16893059252-0153 Kanagawa, Sagamihara, 根小屋143 武相庵 2F, Japan17845701134142026-07-20
https://www.booking.com/hotel/fr/appartement-une-chambre-le-havre.htmlLe Havreappartement une chambreFrance1687929132 Rue Collard, 76600 Le Havre, France17845701134142026-07-20
https://www.booking.com/hotel/sn/very-bright-and-pleasant-duplex-in-a-DakarVery bright and pleasant duplex in a quiet location!Senegal16891632King Fahd Road, 12000 Dakar, Senegal17845701134142026-07-20
https://www.booking.com/hotel/fr/le-jardin-aux-lilas.html?chal_t=17845CadrieuLe Jardin Aux LilasFrance16882632141 rue du château , 46160 Cadrieu, France17845701134142026-07-20
https://www.booking.com/hotel/in/cozy-2-bed-room-house-with-kitchen-anBangaloreCozy 2 bed room house with kitchen and wifi.India109629341st Cross Rd, Stage 2, BTM Layout, Bengaluru, Karnataka 560076, India,17845701134142026-07-20
https://www.booking.com/hotel/fr/riboleys-t2-avec-wifi-et-clim-a-300m-ViasRiboleys - T2 avec WIFI et clim à 300m de la merFrance16798951Résidence Viabella 1, 34450 Vias, France17845701134142026-07-20
https://www.booking.com/hotel/be/one-lux-stay-2br-2ba-antwerp-near-cenAntwerpOne Lux Stay 2BR 2BA Antwerp near Central StationBelgium162979462018 Antwerp, Belgium17845701134142026-07-20
https://www.booking.com/hotel/fr/pdf-rdc-2-bdr-apartment-with-terrace-MentonPDF RDC - 2 BDR apartment with terrace - Quiet and close to beachesFrance16913826Le Porte de France 55 Porte de France, 06500 Menton, France17845701134142026-07-20
https://www.booking.com/hotel/br/casa-santa-julia.htmlItanhaémCasa Santa JuliaBrazil16914178R. Treze, 86, Itanhaém, CEP 11740-000, Brazil17845701134142026-07-20
https://www.booking.com/hotel/fr/ac-3-bedroom-disney-15-min-paris-30-mLognesAC - 3-Bedroom - Disney 15 min - Paris 30 minFrance16877135Apartment 802 8 Rue des Jardiniers, 77185 Lognes, France17845701134142026-07-20
https://www.booking.com/hotel/fr/apartment-city-center-canal-amp-garonToulouseApartment-city center-Canal & Garonne atmosphereFrance1687470827 24 Allée de Barcelone, 31000 Toulouse, France17845701134142026-07-20
https://www.booking.com/hotel/cl/hom-i-altolascondes-i-parking-i-terraSantiagoHOM I AltoLasCondes I Parking I Terraza I JacuzziChile16882670Las Verbenas 8925, 7591573 Santiago, Chile17845701134142026-07-20
Description
The Booking Hotel Listings dataset standardizes booking.com data into analysis-ready fields: url, hotel_id, title, location, country, city, metro_railway_access, images, and more. Use our Booking Hotel Listings dataset to access detailed information on hotels worldwide, including property features, guest reviews, availability, and amenities. Popular use cases include travel recommendation systems, competitive benchmarking, market analysis, and pricing optimization. Common uses include enrichment, lead generation, market and competitor research, and feeding downstream AI models. 5M records available, refreshed monthly, from $0.005 per record — minimum order $350. Preview a sample free before you buy.
Record updates over time
10,333
Last 7 days
6,716
7-30 days
3,100
30-90 days
827
90+ days
Data dictionary
Column nameDescriptionTypeFill rate
url The URL of the hotel listing. Url
100%
hotel_id A unique identifier assigned to each hotel. Text
100%
title The name or title of the hotel. Text
97.99%
location Details about the hotel's specific location or address. Text
97.99%
country The country where the hotel is located. Text
97.99%
city The city where the hotel is situated. Text
98.61%
metro_railway_access Indicates whether the hotel has access to nearby metro or railway stations. Boolean
100%
images A collection of URLs for images of the hotel. Array
99.79%
number_of_reviews The total number of reviews the hotel has received from guests. Number
95.51%
review_score The overall average score of reviews for the hotel. Number
95.51%
description A detailed description of the hotel's features, services, and other notable details. Text
100%
property_highlights The key highlights or unique selling points of the hotel. Text
98.43%
most_popular_facilities A list of the hotel’s most popular facilities mentioned by guests. Array
98.43%
availability Details about the room availability in the hotel. Array
98.96%
reviews_scores Breakdown of review scores into specific categories. Object
100%
top_reviews A selection of top reviews written by previous guests. Array
57.86%
managed_by The information about the entity managing the property. Text
33.89%
manager_score The performance score or rating of the manager of the property. Number
38.23%
property_information Detailed information regarding the property, including features and other specifications. Text
34.33%
manager_language_spoken A list of languages spoken by the manager. Array
94.45%
property_surroundings Details of nearby attractions and their distance from the property. Array
58.96%
popular_facilities Information about the most popular facilities and services of the property. Object
99.91%
house_rules The set of house rules and regulations for guests staying at the property. Array
99.96%
fine_print Additional notes or disclaimers regarding the property. Text
94.32%
coordinates coordinates Object
99.98%
category_review_scores Category-level guest review scores Array
62.22%
is_bookable Indicates whether the listing is bookable. Boolean
75.54%
timestamp Date
%