Open Airbnb datasets for Seville, Spain

Seville, Spain

DoorstepAnalytics

Seville, Spain

Bedrooms Neighbourhood Review score: 2.0 - 5.0

Listings

Listings Neighbourhoods Pricing Occupancy & Income Hosts Guest Feedback Data Access

There are 6,646 entire homes listed across Airbnb in Seville and the surrounding area, with 644 private bedrooms and 174 serviced apartments. The average price for a two bedroom apartment in September 2026 is €233 per night.

The average price per night for an entire home in Seville is €184 for 1 bedroom, €233 for 2 bedrooms, €298 for 3 bedrooms, €429 for 4 bedrooms, €669 for 5 bedrooms. By city zone, entire homes average Center (€254, 1,687 listings), North (€207, 1,679 listings), West (€223, 1,298 listings), East (€216, 1,057 listings), South (€262, 925 listings). All prices are in EUR.

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 Casco Antiguo has the most listings, with 5,022 on Airbnb and an average nightly price of €234 (€138 per bedroom). The second most populated neighbourhood is Triana with 826 listings, followed by Nervión (382), Distrito Macarena (221) and Distrito San Pablo-Santa Justa (134). All prices are in EUR.

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

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