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Build Aman Tokyo Review Dataset for AI Training

Collect 1,000 Aman Tokyo hotel reviews to build NLP training datasets, power sentiment analysis models, and fuel hospitality AI pipelines.

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Trip.com & Ctrip Reviews Scraper
Trip.com & Ctrip Reviews Scraperknagymate/trip-com-reviews-scraper
Id
Hotel id
Useful count
Language
+14 fields
Text
Number
Boolean
List
Object

Input

Hotel URL(required):https://www.trip.com/hotels/tokyo-hotel-detail-2479231/aman-tokyo/
Maximum number of reviews:1000
Sort reviews by:mostRelevant

Output fields

Id
Hotel id
Useful count
Language
Content
Translated content
Check in date
Create date
Rating
Comment level
Recommend
Travel type
Travel type text
Translate from real review
Aggregate review score
Aggregate review description
Aggregate review count
Aggregate review sub score

How it works

Sign up on Apify or log in

The Trip.com & Ctrip Reviews Scraper Actor is ready to run with the inputs already set for "Build Aman Tokyo Review Dataset for AI Training". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build Aman Tokyo Review Dataset for AI Training" task

The Trip.com & Ctrip Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like hotel url, maximum number of reviews, and more, to match your specific use case.

Receive the "Build Aman Tokyo Review Dataset for AI Training" 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 id, hotel id, useful count, 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 "Build Aman Tokyo Review Dataset for AI Training" task via API.

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