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Booking scores backed by meaningful review volume

Put overall review count beside the score before ranking properties. A strong score backed by many stays carries more weight than the same score from a thin sample.

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Booking Review Scraper
Booking Review Scraperreapx/booking-review-scraper
propertyName
propertyId
requestedUrl
reviewId
+4 fields
Text
Number
Boolean
List
Object

Input

Which source URLs?:https://www.booking.com/hotel/gb/the-savoy.html

Output fields

propertyName
propertyId
requestedUrl
reviewId
score
reviewedAt
overallScore
overallReviewsCount

How it works

Sign up on Apify or log in

The Booking Review Scraper Actor is ready to run with the inputs already set for "Booking scores backed by meaningful review volume". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Booking scores backed by meaningful review volume" task

The Booking Review Scraper Actor will start running based on the input automatically. You can also change all the input fields, like which source urls?, to match your specific use case.

Receive the "Booking scores backed by meaningful review volume" 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 propertyname, propertyid, requestedurl, 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 scores backed by meaningful review volume" task via API.

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Integrate "Booking scores backed by meaningful review volume" into your workflow

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