Go to example tasks
Hotel Reputation Monitoring on Booking.com
A daily watch rather than a research pull: the twenty newest reviews for each of four Berlin properties, addressed by numeric id so nothing can resolve wrongly. Cheap enough to schedule every morning; route the dataset to Slack or a webhook and a low score reaches the duty manager the same day. Cost: 80 review rows at $0.005 = at most $0.40 a run.
Booking.com Reviews Scraper — Hotel Guest Reviews & Ratingskestrel/booking-reviews-scraper
Type
Hotel id
Hotel name
Rating
+8 fieldsTextNumberBooleanListObject
Input
Booking.com hotel ids:62665+3
Max reviews per hotel:20
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
Sign up on Apify01
Create your Apify account to access the Booking.com Reviews Scraper — Hotel Guest Reviews & Ratings.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
