Build a Sentiment Analysis Dataset from Trip.com Reviews
Created by
knagymate
Scrape Trip.com hotel reviews with ratings and translated text — a ready-made dataset for NLP and sentiment analysis models.
Trip.com & Ctrip Reviews Scraperknagymate/trip-com-reviews-scraper
Id
Hotel id
Useful count
Language
+15 fieldsTextNumberBooleanListObject
Input
Hotel URL(required):https://www.trip.com/hotels/shanghai-hotel-detail-346403/grand-hyatt-shanghai/
Maximum number of reviews:200
Sort reviews by:mostRelevant
Output fields
Id
Hotel id
Useful count
Language
Content
Translated content
Check in date
Create date
Rating
Rating max
Comment level
Room type name
Travel type
Travel type text
Translate from real review
Aggregate review score
Aggregate review description
Aggregate review count
Aggregate review sub score
Sign up on Apify01
Create your Apify account to access the Trip.com & Ctrip 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.
