Boliga API
Query Danish real estate data via scripts/boliga.py.
Usage
import sys
sys.path.insert(0, '<skill-path>/scripts')
from boliga import get_properties, Municipality, PropertyType, SortOrder
# Search properties
df = get_properties(
municipality=Municipality.ROSKILDE,
property_type=PropertyType.TERRACED,
price_max=5000000
)
# Analyze with pandas
avg_sqm = df['sqm_price'].mean()
df.groupby('zip_code')['price'].median()
Functions
| Function |
Returns |
Description |
get_properties(...) |
DataFrame |
Active listings with filters |
get_sold_properties(...) |
DataFrame |
Historical sales |
get_estate_details(id) |
dict |
Property details |
get_property_history(id) |
DataFrame |
Property sale history |
get_market_statistics() |
dict |
National price trends |
search_location(query) |
DataFrame |
Location autocomplete |
get_new_construction(...) |
DataFrame |
New construction projects |
Key Parameters
Municipalities: Municipality.COPENHAGEN, ROSKILDE, AARHUS, ODENSE, FREDERIKSBERG, GENTOFTE
Property types: PropertyType.VILLA, TERRACED, APARTMENT, HOLIDAY, COOPERATIVE, FARM
Sort: SortOrder.PRICE_ASC, PRICE_DESC, SQM_PRICE_ASC, DAYS_FOR_SALE_ASC
DataFrame Columns
get_properties() returns: id, street, city, zip_code, price, sqm_price, size, rooms, build_year, property_type, days_for_sale, lot_size, energy_class, lat, lon, views
