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Booking.com guest sentiment monitor

Export available guest feedback for your own sentiment analysis. Source-page order is retained; this example does not score sentiment or monitor changes.

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Booking Reviews Scraper
Booking Reviews Scraperfetch_cat/booking-reviews-scraper
Hotel name
Score
Review title
Review text
+10 fields
Text
Number
Boolean
List
Object

Input

Booking.com hotel or review URLs(required)
url:https://www.booking.com/reviews/us/hotel/chicago-t.html
Maximum reviews:20
Sort order:recent
Language / locale:en-US
Proxy configuration:{2 fields}

Output fields

Hotel name
Score
Review title
Review text
Positive text
Negative text
Review date
Stay date
Room type
Traveler type
Reviewer name
Reviewer country
Hotel URL
Scraped at

How it works

Sign up on Apify or log in

The Booking Reviews Scraper Actor is ready to run with the inputs already set for "Booking.com guest sentiment monitor". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Booking.com guest sentiment monitor" task

The Booking Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like booking.com hotel or review urls, maximum reviews, and more, to match your specific use case.

Receive the "Booking.com guest sentiment monitor" 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, score, review title, 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 guest sentiment monitor" task via API.

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