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