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.
Input
Output fields
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The Airbnb Reviews Scraper — Guest Reviews, Ratings & Replies Actor is ready to run with the inputs already set for "Airbnb Competitor Reviews for a Comp Set". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "Airbnb Competitor Reviews for a Comp Set" task
The Airbnb Reviews Scraper — Guest Reviews, Ratings & Replies Actor will start running based on the input automatically. You can also change all the input fields, like places, max listings per place, and more, to match your specific use case.
Receive the "Airbnb Competitor Reviews for a Comp Set" 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 id, name, 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 "Airbnb Competitor Reviews for a Comp Set" task via API.
