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Hotel Sentiment Analysis Dataset from Booking.com

Booking asks guests what they liked and what they did not, and stores the two answers apart - so the sentiment is labelled before any model sees it. Ninety written reviews of one London hotel with positives, negatives, score, language and traveller type: a training or evaluation set for aspect-level sentiment, no annotation needed. Cost: 90 review rows at $0.005 = at most $0.45 a run.

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Booking.com Reviews Scraper — Hotel Guest Reviews & Ratings
Booking.com Reviews Scraper — Hotel Guest Reviews & Ratingskestrel/booking-reviews-scraper
Hotel name
Rating
Rating 5
Title
+12 fields
Text
Number
Boolean
List
Object

Input

Hotel names:The Ritz London
Max reviews per hotel:90
Only reviews with a written comment:true

Output fields

Hotel name
Rating
Rating 5
Title
Positives
Negatives
Language
Review date
Check in
Nights
Room type
Traveler type
Reviewer name
Reviewer country
Helpful votes
Response

How it works

Sign up on Apify01

Create your Apify account to access the Booking.com Reviews Scraper — Hotel Guest Reviews & Ratings.

Start the run02

The Actor will start running based on the input automatically.

Receive the output03

Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.

Integrate into your workflow04

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.

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