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Booking.com Ratings: Highest-Scored Reviews First

The reviews guests wrote when everything went right, sorted highest score first and limited to those with a written comment: quotable testimonials with the reviewer country, traveller type and stay dates attached. Sixty of them from the Park Hyatt Tokyo is a marketing team's afternoon of material. Cost: 60 review rows at $0.005 = at most $0.30 a run.

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

Input

Hotel names:Park Hyatt Tokyo
Order:highest_rated
Max reviews per hotel:60
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 Apify or log in

The Booking.com Reviews Scraper — Hotel Reviews, Guest Reviews Actor is ready to run with the inputs already set for "Booking.com Ratings: Highest-Scored Reviews First". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Booking.com Ratings: Highest-Scored Reviews First" task

The Booking.com Reviews Scraper — Hotel Reviews, Guest Reviews Actor will start running based on the input automatically. You can also change all the input fields, like hotel names, order, and more, to match your specific use case.

Receive the "Booking.com Ratings: Highest-Scored Reviews First" 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 name, rating, rating 5, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Booking.com Ratings: Highest-Scored Reviews First" task via API.

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