Installation

$ npx skills add smithery/kasperjunge --skill boliga-api

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

skill md SKILL.md 1,774 B

docs SUMMARY.md 210 B

SKILL.md

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
`getsoldproperties(...)`	DataFrame	Historical sales
`getestatedetails(id)`	dict	Property details
`getpropertyhistory(id)`	DataFrame	Property sale history
`getmarketstatistics()`	dict	National price trends
`search_location(query)`	DataFrame	Location autocomplete
`getnewconstruction(...)`	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.PRICEASC, PRICEDESC, SQMPRICEASC, DAYSFORSALE_ASC

DataFrame Columns

getproperties() returns: id, street, city, zipcode, price, sqmprice, size, rooms, buildyear, propertytype, daysforsale, lotsize, energy_class, lat, lon, views

boliga-api