Trip.com Reviews by Hotel ID
The numeric id is the number after hotel-detail- in any Trip.com hotel URL, and the fastest input. Four large hotels in Tokyo, Bangkok, Hong Kong and Dubai in one run, twenty-five newest reviews each, plus a free hotel row per property with stars, address, overall and sub-scores, review count and the languages its reviews come in. Cost: 100 review rows at $0.004 = at most $0.40 a run.
Input
Output fields
Sign up on Apify or log in
The Trip.com Reviews Scraper — Ctrip Hotel Guest Reviews & Ratings Actor is ready to run with the inputs already set for "Trip.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 "Trip.com Reviews by Hotel ID" task
The Trip.com Reviews Scraper — Ctrip Hotel Guest Reviews & Ratings Actor will start running based on the input automatically. You can also change all the input fields, like trip.com hotel ids, max reviews per hotel, and more, to match your specific use case.
Receive the "Trip.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 "Trip.com Reviews by Hotel ID" task via API.
