Open Airbnb datasets for Budapest, Hungary

Budapest, Hungary

DoorstepAnalytics

Budapest, Hungary

Bedrooms Neighbourhood Review score: 2.0 - 5.0

Listings

Listings Neighbourhoods Pricing Occupancy & Income Hosts Guest Feedback Data Access

There are 8,612 entire homes listed across Airbnb in Budapest and the surrounding area, with 595 private bedrooms and 102 serviced apartments. The average price for a two bedroom apartment in October 2026 is Ft68,993 per night.

The average price per night for an entire home in Budapest is Ft49,901 for 1 bedroom, Ft68,993 for 2 bedrooms, Ft94,705 for 3 bedrooms, Ft131,339 for 4 bedrooms, Ft151,424 for 5 bedrooms. By city zone, entire homes average Center (Ft59,724, 2,210 listings), South (Ft62,935, 1,818 listings), North (Ft63,944, 1,800 listings), West (Ft67,188, 1,549 listings), East (Ft63,711, 1,235 listings). All prices are in HUF.

Listings and Average Price per Bedrooms

Amenities

Bed Types

Bed Types by Bedrooms

Guest Capacity

Cancellation Policy

Price per bedroom Low

High

The neighbourhood of Erzsébetváros has the most listings, with 2,969 on Airbnb and an average nightly price of Ft58,897 (Ft36,811 per bedroom). The second most populated neighbourhood is Terézváros with 664 listings, followed by Pest (622), Palotanegyed (589) and Lipótváros (525). All prices are in HUF.

Distances to Points of Interest

Neighbourhood Details

Average Price per Bedrooms

Average Price per Max Guests

Average Price by Neighbourhood

for the 16 most expensive neighbourhoods

Average Price per Bedroom by Neighbourhood

for the 16 most expensive neighbourhoods per bedroom

Average Price by Metro Stop

for the 16 most expensive metro stops

Average Price per Bedroom by Review Score

Occupancy and income data available early 2027

Hosts with Most Listings

Business Hosts

Review Rating Distribution

Number of Reviews per Listing

Time Since Most Recent Review

Review Length

Average Location Score by Neighbourhood

for the 16 most common neighbourhoods

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All Airbnb Listing Data

Full master dataset with analytics fields
Daily availability and booking calendar
Weekend, weekly and monthly pricing

Host profiles and business credentials
Guest reviews and rating breakdown
Neighbourhood and location breakdowns

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