An Airbnb scraper for stay-listing data
The Kavex Airbnb search scraper turns a location into a structured list of stays. Give it a city or area and it returns the Airbnb listings — each with its name, room URL, rating, review count, price and map coordinates. It is built for short-let market research, pricing analysis and travel datasets.
Sign up to useWhat it does
For each location you provide, the scraper loads the Airbnb search results and returns one row per listing: the listing name, its room ID and direct URL, the rating and review count, the displayed price and the latitude / longitude.
Airbnb renders client-side, so the scraper reads the structured search data the page ships with — clean fields, no DOM guesswork.
Use cases
- Short-let market research — size the supply and price range in an area.
- Pricing analysis — benchmark nightly rates across neighbourhoods.
- Travel datasets — build a structured stay inventory for a destination.
Frequently asked questions
What does each listing row contain?
Listing name, room ID and URL, rating, review count, displayed price and map coordinates.
What input does it take?
A list of locations — cities or areas — one per line.
How many listings per location?
It returns the first results page Airbnb shows for the location — typically around 18 listings.
Try it free — 1000 credits on us
Pay per result — no subscription, no seats. New accounts start with 1,000 free credits.