Trip.com Hotel Reviews for AI and RAG
Created by
FactDen
Export Trip.com and Ctrip hotel reviews as LLM-ready markdown for RAG and sentiment analysis. 32 fields per review, zero setup. $4/1K.
Trip.com & Ctrip Reviews Scraper - Tripcom Hotels 携程factden/ctrip-trip-reviews-scraper
Markdown
Original text
Translated text
Language
+4 fieldsTextNumberBooleanListObject
Input
🌐 Hotel URLs(required):https://www.trip.com/hotels/macau-hotel-detail-344983/galaxy-hotel/
🔢 Max reviews per hotel:500
Output fields
Markdown
Original text
Translated text
Language
Rating
Travel type
Recommends
Source
Sign up on Apify01
Create your Apify account to access the Trip.com & Ctrip Reviews Scraper - Tripcom Hotels 携程.
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.
