Granular property data
Data categories and attributes
Category
Basic data
Object type, object type, year of construction, type of construction, condition, furnishing, quality, type of parking space, loading connection, parking spaces
10
Property location
Address, street, house no., postcode, district, city, state, country, coordinates, longitude, latitude
11
Location information
Passenger transport, local and long-distance transport, utilities, fitness and wellness, health services, education, leisure, etc.
24
Size information
Floor area, usable floor area, living area, number of floors, floor, room, bedroom, bathroom, WC
9
Energy details
Energy certificate, type of certificate, E-efficiency, E-consumption, heat consumption, electricity consumption
6
Descriptions
Description of the property, fixtures and fittings, location and other information
4
Object equipment
Basic information, home office, entertainment, security
45
Home furnishings
Premises, storage space, household requirements
45
Attachments and pictures
Photos, floor plans, 360° tours, visualisations
4
Marketing
Information on rent/purchase price, ancillary costs, availability, preferences
4
