Hotel Sentiment Analysis Dataset from Trip.com
Two hundred and fifty written reviews of one Shinjuku hotel with four sub-scores each - location, cleanliness, service, amenities - plus travel type and room type: an aspect-level sentiment set with labels already on the row, so which room and which guest type produces the low scores is a filter, not a model. Each row language-tagged. Cost: 250 review rows at $0.004 = at most $1.00 a run.
Input
Output fields
Sign up on Apify01
Create your Apify account to access the Trip.com Reviews Scraper — Hotel Guest Reviews & Ratings.
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.
