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Hotel Reputation Monitoring on HRS

A daily watch rather than a research pull: the twenty newest reviews for each of five German city hotels by id, one ratings request for all of them. Cheap enough to run every morning; route the dataset to Slack or a webhook and a rating below seven reaches the general manager the same day, with the guest's negative comment attached. Cost: 100 review rows at $0.003 = at most $0.30 a run.

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HRS Reviews Scraper - Hotel Reviews, Guest Reviews, Ratings
HRS Reviews Scraper - Hotel Reviews, Guest Reviews, Ratingskestrel/hrs-reviews-scraper
Type
Hotel id
Hotel name
Rating
+7 fields
Text
Number
Boolean
List
Object

Input

HRS hotel ids:2867+4
Max reviews per hotel:20
Sort:most_recent

Output fields

Type
Hotel id
Hotel name
Rating
Traveller type
Positives
Negatives
Language
Review date
Status
Error

How it works

Sign up on Apify or log in

The HRS Reviews Scraper - Hotel Reviews, Guest Reviews, Ratings Actor is ready to run with the inputs already set for "Hotel Reputation Monitoring on HRS". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Hotel Reputation Monitoring on HRS" task

The HRS Reviews Scraper - Hotel Reviews, Guest Reviews, Ratings Actor will start running based on the input automatically. You can also change all the input fields, like HRS hotel ids, max reviews per hotel, and more, to match your specific use case.

Receive the "Hotel Reputation Monitoring on HRS" 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 type, hotel id, hotel name, 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 "Hotel Reputation Monitoring on HRS" task via API.

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Integrate "Hotel Reputation Monitoring on HRS" into your workflow

Connect "Hotel Reputation Monitoring on HRS" with 100+ integrations, or run it via API or MCP.

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