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Analyze Berlin Budget Hotel Feedback

Analyze HRS reviews for a Berlin hotel to identify value, cleanliness, service, transport convenience, and recurring guest complaints.

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HRS Reviews Scraper
HRS Reviews Scraperknagymate/hrs-reviews-scraper
Record type
Review id
Review date
Arrival date
+15 fields
Text
Number
Boolean
List
Object

Input

Hotel URLs(required)
url:https://www.hrs.com/en/hotel/26950
Maximum number of reviews per hotel:50
Cutoff date:2025-01-01
Always return a summary:true

Output fields

Record type
Review id
Review date
Arrival date
Departure date
Reviewer name
Reviewer type
Reviewer age group
Locale
Language
Reviewer comment positive
Reviewer comment negative
Hotelier comment positive
Hotelier comment negative
Comfortableness rating
Hotel recommendation
External rating
Ratings
Hotel summary

How it works

Sign up on Apify or log in

The HRS Reviews Scraper Actor is ready to run with the inputs already set for "Analyze Berlin Budget Hotel Feedback". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze Berlin Budget Hotel Feedback" task

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

Receive the "Analyze Berlin Budget Hotel Feedback" 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 record type, review id, review date, 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 "Analyze Berlin Budget Hotel Feedback" task via API.

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