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Booking.com Reviews by Hotel ID

Numeric ids are the fastest input Booking accepts: no autocomplete lookup, no name ambiguity, no wasted request. Four flagship properties in London, Berlin, Singapore and Lisbon go into one run and come back as one dataset, twenty-five newest reviews each. Ids come from the hotel_id column of any earlier run. Cost: 100 review rows at $0.005 = at most $0.50 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
Type
Hotel id
Hotel name
Rating
+8 fields
Text
Number
Boolean
List
Object

Input

Booking.com hotel ids:280149+3
Max reviews per hotel:25
Order:most_recent
Include a hotel row:true

Output fields

Type
Hotel id
Hotel name
Rating
Title
Text
Language
Review date
Traveler type
Reviewer country
Status
Error

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 Reviews by Hotel ID". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Booking.com Reviews by Hotel ID" 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 booking.com hotel ids, max reviews per hotel, and more, to match your specific use case.

Receive the "Booking.com Reviews by Hotel ID" 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 type, hotel id, hotel name, 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 Reviews by Hotel ID" task via API.

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Integrate "Booking.com Reviews by Hotel ID" into your workflow

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