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The Booking Hotel Listings dataset is a clean, structured, analysis-ready database of 2M records across 28 data fields, sourced from booking.com and refreshed monthly. Every record is standardised for enrichment, lead generation, market research and competitor analysis — ready to import into your CRM or data pipeline.
Key fields: url, hotel id, title, location, country, city, metro railway access, images, number of reviews, review score, and 18 more. See the full data dictionary below.
This is a pay-per-record dataset with a minimum order of 70,000 records. See the order panel for live pricing in your currency (₹ for India, $ elsewhere) — the total scales with the number of records you choose, so the more you buy, the larger the order.
| url | city | title | country | hotel id | location |
|---|---|---|---|---|---|
| https://www.booking.com/hotel/jp/wu-xian... | Sagamihara | 武相庵 津久井 | Japan | 16893059 | 252-0153 Kanagawa, Sagamihara, 根小屋１... |
| https://www.booking.com/hotel/fr/apparte... | Le Havre | appartement une chambre | France | 16879291 | 32 Rue Collard, 76600 Le Havre, France |
| https://www.booking.com/hotel/sn/very-br... | Dakar | Very bright and pleasant duplex in a qui... | Senegal | 16891632 | King Fahd Road, 12000 Dakar, Senegal |
| https://www.booking.com/hotel/fr/le-jard... | Cadrieu | Le Jardin Aux Lilas | France | 16882632 | 141 rue du château , 46160 Cadrieu, Fran... |
| https://www.booking.com/hotel/in/cozy-2-... | Bangalore | Cozy 2 bed room house with kitchen and w... | India | 10962934 | 1st Cross Rd, Stage 2, BTM Layout, Benga... |
| https://www.booking.com/hotel/fr/riboley... | Vias | Riboleys - T2 avec WIFI et clim à 300m d... | France | 16798951 | Résidence Viabella 1, 34450 Vias, France |
| https://www.booking.com/hotel/be/one-lux... | Antwerp | One Lux Stay 2BR 2BA Antwerp near Centra... | Belgium | 16297946 | 2018 Antwerp, Belgium |
| https://www.booking.com/hotel/fr/pdf-rdc... | Menton | PDF RDC - 2 BDR apartment with terrace -... | France | 16913826 | Le Porte de France 55 Porte de France, 0... |
| https://www.booking.com/hotel/br/casa-sa... | Itanhaém | Casa Santa Julia | Brazil | 16914178 | R. Treze, 86, Itanhaém, CEP 11740-000, B... |
| https://www.booking.com/hotel/fr/ac-3-be... | Lognes | AC - 3-Bedroom - Disney 15 min - Paris 3... | France | 16877135 | Apartment 802 8 Rue des Jardiniers, 7718... |
Sample@if($records) of 2M records@endif — 28 fields total. Purchase to unlock the full dataset.
| Column | Description | Type | Fill 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 | — |
The Booking Hotel Listings dataset contains approximately 2M records across 28 fields, refreshed monthly.
It is priced per record with a minimum order of 70,000 records. See the order panel on this page for live pricing in your currency (₹ for India, $ elsewhere) — the total scales with the number of records you select.
Fields include url, hotel id, title, location, country, city, metro railway access, images and more — the complete list is in the data dictionary on this page.
It is aggregated from booking.com and other public, compliant sources, then cleaned, standardised and de-duplicated before delivery.
As a structured CSV/Excel export ready for CRM import or BI analysis, delivered after purchase. A free sample is available on this page.
The dataset is refreshed monthly so records stay accurate for outreach and analysis.
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Last Update:
Aug 19, 2026 17:39 PM
Published:
Jul 21, 2026 11:26 AM
Country:
United States
Total records:
2,000,000
Category:
