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Trip.com hotel reviews scraper example
Created by
Automation Lab
Extract the newest public Trip.com hotel reviews, scores, traveler details, translations, and media signals into a structured dataset.
Trip.com Hotel Reviews Scraperautomation-lab/trip-com-hotel-reviews-scraper
Hotel
Hotel context
Hotel score
Total reviews
+8 fieldsTextNumberBooleanListObject
Input
π¨ Trip.com hotel URLs(required)
url:https://www.trip.com/hotels/singapore-hotel-detail-687499/hotel-81-tristar/review.html
Maximum newest reviews per hotel:5
Output fields
Hotel
Hotel context
Hotel score
Total reviews
Reviewer
Stay month
Traveler type
Review score
Posted at
Review text
Source
Scraped at
Sign up on Apify01
Create your Apify account to access the Trip.com Hotel Reviews Scraper.
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.
