Go to example tasks
Airbnb Competitor Reviews for a Comp Set
Competitor research at dataset scale: twenty Miami Beach properties, forty reviews each, sorted most recent so the picture is current. Group by listing to see which competitor is collecting complaints about cleaning, check-in or noise - the fastest read on where a market is weak. Cost: 800 review rows at $0.005 = at most $4.00 a run.
Airbnb Reviews Scraper — Guest Reviews, Ratings & Replieskestrel/airbnb-reviews-scraper
Id
Name
Rating
Text
+7 fieldsTextNumberBooleanListObject
Input
Places:Miami Beach, Florida, United States
Max listings per place:20
Max reviews per listing:40
Order:most_recent
Output fields
Id
Name
Rating
Text
Text localized
Language
Created at
Reviewer name
Reviewer location
Host reply
Stay type
Sign up on Apify01
Create your Apify account to access the Airbnb Reviews Scraper — Guest Reviews, Ratings & Replies.
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.
