Mine Low-Rating Root Causes for City Hotels

Created by

knagymate

Actor

Fast Agoda Reviews Scraper

Extract negative city-hotel feedback for root-cause analysis, service remediation, and reputation risk management.

Try for free

Fast Agoda Reviews Scraperknagymate/fast-agoda-reviews-scraper

Hotel id

Hotel review id

Rating

Rating text

+22 fields

Input

Hotel URL(required):https://www.agoda.com/grand-hyatt-san-francisco-union-square/hotel/san-francisco-ca-us.html

Rating:below_expectation+1

Enabled review providers:Agoda+1

Review Language:en

Aggregate ratings:true

Maximum reviews per hotel:300

Output fields

Hotel id

Hotel review id

Rating

Rating text

Review title

Review comments

Review positives

Review negatives

Review date

Check in date

Check out date

Reviewer country name

Reviewer name

Reviewer group name

Reviewer room type name

Reviewer length of stay

Review provider text

Responder name

Response date

Response text

Agoda aggregate review score

Agoda aggregate detailed review score

Booking aggregate review score

Booking aggregate detailed review score

Agoda reviews count

Booking reviews count

How it works

Sign up on Apify or log in

The Fast Agoda Reviews Scraper Actor is ready to run with the inputs already set for "Mine Low-Rating Root Causes for City Hotels". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Mine Low-Rating Root Causes for City Hotels" task

The Fast Agoda Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like hotel url, rating, and more, to match your specific use case.

Receive the "Mine Low-Rating Root Causes for City Hotels" 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 hotel id, hotel review id, rating, 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 "Mine Low-Rating Root Causes for City Hotels" task via API.