Hospitality review data

Hotel Reviews Datasets for Hospitality Analytics and AI

Explore structured guest reviews from Booking.com, TripAdvisor, and hotel collections. Compare ratings, review text, stay dates, traveller types, hotel attributes, and geographic coverage without building a scraper.

Compare datasets Request a filtered extract

Commonly available fields

✓Hotel ID
✓Hotel name
✓City & country
✓Guest rating
✓Review title
✓Review text
✓Review date
✓Stay date
✓Traveller type
✓Room type
✓Language
✓Source URL

Available hotel review datasets

Each page provides source-specific coverage, fields, sample records, and access options.

DatasetSourceCoveragePeriod
London Hotel Reviews Dataset
Guest ratings, review text, stay details, and hotel metadata for hospitality research and NLP.
 London hotelsLondon, UKSee dataset page View dataset
TripAdvisor UK Hotel Reviews Dataset
UK hotel reviews with rating scores, review titles, full review text, and traveller type.
 TripAdvisorUnited KingdomSee dataset page View dataset
Booking.com Hotel Reviews (2010–2024)
Historical, multilingual hotel reviews and guest ratings for longitudinal analysis.
 Booking.comMultiple markets2010–2024 View dataset

The live catalog currently contains 5 hotel review collections. Coverage and availability can change as collections are refreshed.

Example hotel review record

This illustrative, anonymized record shows the type of normalized structure available. It is not a claim about every dataset's exact schema.

{
  "review_id": "HTR_8F31A2",
  "hotel_name": "Example Central Hotel",
  "city": "London",
  "country": "United Kingdom",
  "source": "TripAdvisor",
  "overall_rating": 4,
  "review_title": "Convenient location and helpful staff",
  "review_text": "The room was clean and close to transport.",
  "review_date": "2024-08-16",
  "stay_date": "2024-07",
  "traveller_type": "Couple",
  "language": "en"
}

What the data can support

Guest sentiment analysis

Classify overall sentiment and identify recurring topics such as cleanliness, location, service, rooms, and value.

Competitive benchmarking

Compare ratings and recurring guest feedback across hotels, destinations, traveller types, and time periods.

AI and NLP development

Build or evaluate classifiers, aspect extraction, summarization, retrieval, and multilingual text workflows.

Hospitality research

Study changes in guest expectations, seasonal feedback, service quality, and destination-level patterns.

Collection and quality notes

Hotel review datasets are prepared from publicly available source pages and normalized into tabular or JSON records. Exact source coverage, collection dates, field completeness, languages, and deduplication rules vary by collection.

Before using review data in production or model training, review the dataset-specific sample, license, missing-value rate, rating scale, geographic distribution, language mix, and privacy treatment. CrawlFeeds can provide a filtered or refreshed extract when the existing snapshot does not match your requirements.

Custom hotel review data

Request a collection by hotel list, destination, source, date range, language, rating, or traveller type. Multi-platform delivery can normalize Booking.com and TripAdvisor fields into one consistent schema.

Discuss a custom hotel review dataset

Hotel reviews dataset FAQ

Fields vary by source, but commonly include hotel name and identifier, city, country, overall rating, review title, review text, review date, stay date, traveller type, room type, language, and source URL. Each dataset page lists its exact fields.

The current catalog includes Booking.com and TripAdvisor hotel review datasets, plus a London hotel review collection. Custom multi-platform datasets can be scoped separately.

Yes. Dataset pages show representative fields and sample records when available. You can also request a sample matched to your required platform, geography, language, or date range.

Hotel review text and rating fields can support sentiment classification, aspect extraction, summarization, retrieval, benchmarking, and model evaluation, subject to the dataset license and your intended use.

Language coverage depends on the source and dataset. The historical Booking.com collection contains multilingual review data; request the current language distribution before purchase.

Yes. Custom extracts can be scoped by location, hotel list, rating, language, traveller type, and review or stay date, subject to source availability.

Available delivery formats depend on the collection and commonly include CSV and JSON. Large or custom deliveries can be discussed when requesting access.

Public examples should use anonymized or illustrative reviewer information. Ask about the exact privacy treatment and retained fields for the full dataset before use.

Need product, app, or business reviews instead?

Browse the complete reviews collection or explore hotel data alongside broader travel and tourism datasets.

All review datasets Travel and tourism data