Booking.com hotel reviews dataset for sentiment analysis
A fresh labelled sample for sentiment analysis: up to 60 Booking.com reviews of W Barcelona, each splitting the guest's text into what they liked (reviewPositive) and disliked (reviewNegative, empty when they wrote none), with the 1-10 score, nationality, traveller type, room, nights and dates. Booking's default order leans positive. At most 60 reviews (~$2.40 at $0.04 each).
Input
Output fields
Sign up on Apify01
Create your Apify account to access the Booking Reviews Scraper — Booking.com Hotel 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.
