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Trip.com Reviews by Hotel ID

The numeric id is the number after hotel-detail- in any Trip.com hotel URL, and the fastest input. Four large hotels in Tokyo, Bangkok, Hong Kong and Dubai in one run, twenty-five newest reviews each, plus a free hotel row per property with stars, address, overall and sub-scores, review count and the languages its reviews come in. Cost: 100 review rows at $0.004 = at most $0.40 a run.

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Trip.com Reviews Scraper — Hotel Guest Reviews & Ratings
Trip.com Reviews Scraper — Hotel Guest Reviews & Ratingskestrel/trip-com-reviews-scraper
Type
Hotel id
Hotel name
Rating
+8 fields
Text
Number
Boolean
List
Object

Input

Trip.com hotel ids:993510+3
Max reviews per hotel:25
Order:most_recent
Include a hotel row:true

Output fields

Type
Hotel id
Hotel name
Rating
Rating text
Text
Language
Review date
Travel type
Reviewer country
Status
Error

How it works

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.

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