Booking.com hotel reviews dataset for sentiment analysis

Created by

Sami

Actor

Booking Reviews Scraper — Booking.com Hotel Reviews & Ratings

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).

Try for free

Booking Reviews Scraper — Booking.com Hotel Reviews & Ratingszhorex/booking-reviews-scraper

Hotel

Score

Title

Positive

+9 fields

Input

Hotel URLs(required):https://www.booking.com/hotel/es/w-barcelona.html

Max Reviews Per Hotel:60

Include Hotel Info:true

Output fields

Hotel

Score

Title

Positive

Negative

Date

Reviewer

Country

Traveler Type

Room Type

Nights

Language

Hotel Response

How it works

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The Booking Reviews Scraper — Booking.com Hotel Reviews & Ratings Actor is ready to run with the inputs already set for "Booking.com hotel reviews dataset for sentiment analysis". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Booking.com hotel reviews dataset for sentiment analysis" task

The Booking Reviews Scraper — Booking.com Hotel Reviews & Ratings Actor will start running based on the input automatically. You can also change all the input fields, like hotel urls, max reviews per hotel, and more, to match your specific use case.

Receive the "Booking.com hotel reviews dataset for sentiment analysis" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as hotel, score, title, and more.