Unified Hotel Establishments¶
This data product is available for any market or country globally
Dotlas maintains a unified collection of hotel Points-of-Interest (PoIs) aggregated from multiple online and offline sources, linked together into a single-source-of-truth hospitality dataset. This dataset merges and enriches records from OTA platforms (like Booking.com, Expedia), official directories, brand websites, licensing registries, and proprietary field research using advanced entity resolution and deduplication techniques.
Each hotel property is matched across sources using geospatial coordinates, name similarity, brand metadata, and contextual signals—resulting in a high-confidence, non-redundant view of physical lodging establishments and their associated details.
The outcome is a ready-to-use collection of hotel profiles with standardized attributes including amenities, room types, pricing, guest policies, and star ratings.
Potential Sectors for Use-Cases¶
- Hospitality & Lodging Analytics
- Travel Tech & OTA Platforms
- Location Intelligence & GIS
- Urban Planning & Real Estate
- Competitor Intelligence for Hotel Chains
- Tourism Forecasting & Planning
- Site Selection & Investment Feasibility
- Brand Expansion & Franchise Tracking
This dataset supports both chain-level and individual property-level analysis, suitable for integration into geospatial platforms, pricing engines, review aggregators, or real estate models.
Hotels Data Dictionary¶
| Column Name | Data Type | Description |
|---|---|---|
| hotel_id | string |
Unique Dotlas-assigned identifier for the hotel establishment. Useful for tracking the same physical venue over time. |
| hotel_name | string |
The name of the hotel venue |
| country | string |
The country in which the hotel is located |
| city | string |
The city where the hotel is located |
| subregion | string |
The state / district / territory in which the hotel is located. Example: California, Normandy, Baden-Württemberg, etc. |
| zipcode | string |
The postal code of the hotel, if available |
| area | string |
The Dotlas-assigned colloquial neighbourhood of the hotel, if available for our supported urban boundaries. Example: Downtown, Marina, Morningside Heights, etc. |
| latitude | float |
The exact location coordinate of the hotel (with customizable projections) |
| longitude | float |
The exact location coordinate of the hotel (with customizable projections) |
| address | string |
The full address of the hotel, including street, city, state, and postal code |
| rating | float |
The average user rating of the hotel, split by source if required |
| star_rating | float |
The average star-based rating of the hotel, split by source if required |
| review_count | int |
The number of reviews for the hotel, split by source if required |
| amenities | string[] |
The amenities available at the hotel, if available. Example: ["Free Wi-Fi", "Swimming Pool", "Gym"] |
| telephone_number | string |
The desk phone number of the hotel, if available |
| restaurants_in_venue | string[] |
The restaurants located within the hotel, if available. Example: ["The Grill", "The Bistro"] |
| policies_and_rules | string |
The policies and rules of the hotel, if available. Example: ["Pet-friendly", "Kids age 0-12 stay free", "No parties or groups allowed"] |
| cancellation_policy | string |
The cancellation policy of the hotel, if available. Example: ["Free cancellation until 24 hours before arrival", "Non-refundable"] |
| room_types | string[] |
The types of rooms available at the hotel, if available. Example: ["Studio", "Double Room", "Suite"] |
| photos | string[] |
The URLs of photos of the hotel, if available. Additional metadata like date of capture or type of photo available on request. |
We can also provide additional fields on request, such as parent company of hotel chain, website, continous monitoring of hotel attributes, and more. Please reach out to us for more information.