Description

Explore a comprehensive collection of nearly 600,000

TripAdvisor UK hotel reviews

, offering unparalleled insights into the British hospitality landscape. This extensive dataset spans over 30 English regions, including prominent areas like London, Yorkshire, and Cornwall. Each record provides crucial details such as

full review text, star ratings, hotel names, reviewer demographics

, and specific dates of stay and review. Ideal for sentiment analysis, market trend identification, competitor benchmarking, and enhancing customer experience strategies for hotels and travel businesses. Leverage this rich, structured data to gain a competitive edge and drive informed decision-making in the dynamic UK travel and hospitality domain.

Highlights

  • Over 589K Tripadvisor UK hotel reviews

  • Covers all major English hotel regions

  • Includes review and stay dates

  • Features ratings, text, photos, and helpfulness

Sample Data

Preview of available data:

Url Photos Rating Source Uniq Id Version Language Review Id Stayed At Hotel City Hotel Name Scraped At Location Id Review Text Reviewed At Imported At Hotel Region Review Title Helpful Count Reviewer Name Source Domain Total Reviews Reviewer Location Additional Details Additional Ratings
https://www.tripadvisor.com... [] 1 tripadvisor 76048ceae1d3f838 1781425751651 en 765298604 2020-08-31 West The Wensleydale Heifer 2026-06-12 15:12:17 604640 I visited for Sunday lunch ... 2020-08-16 2026-06-14 08:29:11 Yorkshire England Check your bill! 0 helentownc tripadvisor.com 3639 Stockton-on-Tees, United Ki... {"trip_type": "FAMILY", "pl... []
https://www.tripadvisor.com... [] 5 tripadvisor 188e4c8637ab936f 1781425751651 fr 765302266 2020-07-31 Wilton The Pembroke Arms Hotel 2026-06-09 17:41:30 279960 Situé à 15 min de Stoneheng... 2020-08-16 2026-06-14 08:29:11 Wiltshire England EXCELLENT! 2 CIGOGNE21 tripadvisor.com 959 Dijon, France {"trip_type": "NONE", "plac... [{"name": "Cleanliness", "r...
https://www.tripadvisor.com... [] 5 tripadvisor f58bce9e42f08318 1781425751651 en 765303265 2020-08-31 Blakeney Legg Barn 2026-06-13 19:19:26 14215840 We have just returned from ... 2020-08-16 2026-06-14 08:29:11 Gloucestershire England A relaxing week in this bea... 0 oldmonmouth tripadvisor.com 8 Lyme Regis, United Kingdom {"trip_type": "NONE", "plac... [{"name": "Value", "rating"...
https://www.tripadvisor.com... [] 5 tripadvisor b93dfd8abd5b4279 1781425751651 en 765303779 2020-08-31 Leighton Hill Farm and Orchard Wigwams 2026-06-12 16:56:36 6548499 We stayed in the Bramley lo... 2020-08-16 2026-06-14 08:29:11 Bedfordshire England Perfect family base 0 Mummy86 tripadvisor.com 206 \N {"trip_type": "FAMILY", "pl... []
https://www.tripadvisor.com... [] 1 tripadvisor fcc8b8e26d33ee70 1781425751651 en 765303982 2020-08-31 Formby Formby Hall Golf Resort & Spa 2026-06-07 02:33:31 1007695 Something between Ramsey s ... 2020-08-16 2026-06-14 08:29:11 Merseyside England Anniversary 0 Dave W tripadvisor.com 3256 \N {"trip_type": "COUPLES", "p... []
https://www.tripadvisor.com... [] 4 tripadvisor b88e6f70db5d0a60 1781425751651 en 765305428 2020-08-31 Lenham Dog & Bear Hotel 2026-06-09 23:31:12 598785 Smallish rooms but a good b... 2020-08-16 2026-06-14 08:29:11 Kent England Decent old Inn with good br... 3 Nchanga66 tripadvisor.com 543 London, United Kingdom {"trip_type": "FAMILY", "pl... []
https://www.tripadvisor.com... [] 4 tripadvisor d56f6800ec3f8817 1781425751651 en 765309882 2020-08-31 Boroughbridge Grantham Arms 2026-06-12 18:26:21 1881286 Really enjoyed our stay at ... 2020-08-16 2026-06-14 08:29:11 Yorkshire England Great food, nice break 0 Kathryn C tripadvisor.com 294 \N {"trip_type": "COUPLES", "p... []
https://www.tripadvisor.com... [] 4 tripadvisor 19a7f96a4968c4ce 1781425751651 en 765311960 2020-08-31 Bembridge Whitecliff Bay Holiday Park 2026-06-07 17:25:49 495925 We have just left and reall... 2020-08-16 2026-06-14 08:29:11 Wight England Excellent stay with just a ... 0 Ben G tripadvisor.com 2053 Hatch Beauchamp, United Kin... {"trip_type": "FAMILY", "pl... []

Data Fields

This dataset includes the following data points:

Review Id
Hotel Name
Hotel Region
Hotel City
Url
Review Title
Rating
Review Text
Language
Reviewer Name
Stayed At
Reviewed At
Helpful Count
Total Reviews
Reviewer Location
Additional Details
Additional Ratings
Photos
Location Id
Source
Source Domain
Uniq Id
Scraped At
Version
Imported At

Why This Data

This hotel reviews dataset from Tripadvisor provides comprehensive market intelligence and competitive insights. Perfect for:

  • Market Research: Understand market trends and customer preferences
  • Competitive Analysis: Compare pricing, products, and strategies
  • Business Intelligence: Make data-driven decisions
  • Price Monitoring: Track price changes and optimize your pricing

Use Cases

This dataset is perfect for various applications:

* Dynamic Pricing Strategy: Hotels can analyze competitor ratings and review volume for similar properties in their region to adjust room rates dynamically and optimize occupancy.

* Competitive Performance Benchmarking: Hotel chains can compare their average ratings and key review themes against competitors within specific English regions to identify areas for operational improvement or market advantage.

* Aspect-Based Sentiment Analysis Model Training: Data scientists can utilize Review Text and Rating to train a machine learning model for fine-grained sentiment analysis, pinpointing specific positive or negative aspects of hotel stays.

* New Product/Service Innovation: Hotel innovation teams can mine Review Text for recurring positive feedback on specific amenities or service gaps, guiding the development of new offerings across their portfolio.

* SEO & Content Optimization: Hotel marketing departments can extract common keywords and topics from Review Title and Review Text to create targeted content and improve search engine rankings for specific hotel features or experiences.

* Regional Tourism Insights: Tourism boards can analyze Hotel Region and Review Text to identify popular destinations, peak travel times, and highly-regarded hotel features, informing regional development and marketing strategies.

* Reputation Management & Crisis Response: Hotel management can monitor real-time negative reviews for their properties or specific competitors to quickly identify and address emerging issues affecting customer satisfaction and brand reputation.

Get Access to This Dataset

Start using this dataset today. Available in CSV, JSON, and Excel formats with flexible access options.

Frequently Asked Questions

Each review record includes a `scraped_at` timestamp indicating when it was collected. For real-time updates or more frequent data collection, please contact our sales team.

The data is typically provided in structured formats like JSON or CSV. Delivery can be facilitated via direct download, cloud storage integration, or API access.

Yes, the dataset includes an `hotel_region` field which can be used to filter reviews from specific English regions like London, Yorkshire, or Cornwall, as listed in the active filters.

The dataset is comprehensive with fields like `additional_details` and `additional_ratings` already included. For requirements beyond the listed `available_data_points`, a custom data request would be necessary.

This dataset is highly beneficial for market researchers, hospitality businesses, travel tech platforms, and data analysts looking to understand customer sentiment and market trends in the UK hotel sector.

Yes, a representative sample of the dataset is generally available upon request to help you evaluate its suitability for your specific needs. Dedicated support is also offered for integration and usage.