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.
Input
Output fields
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 "Hotel Reputation Monitoring on Booking.com". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Hotel Reputation Monitoring on Booking.com" 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 "Hotel Reputation Monitoring on Booking.com" 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 "Hotel Reputation Monitoring on Booking.com" task via API.
Integrate "Hotel Reputation Monitoring on Booking.com" into your workflow
Connect "Hotel Reputation Monitoring on Booking.com" with 100+ integrations, or run it via API or MCP.
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