Boliga API

boliga-api

Query Danish real estate data from Boliga.dk as pandas DataFrames. Use when the user asks about Danish property prices, real estate searches, market statistics, or housing analysis in Denmark.

majiayu000/claude-skill-registry·0installs663starsSales & marketing

SKILL.md

Full skill instructions

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

Install skill

Copy and run in your terminal

npx -y skills add https://github.com/majiayu000/claude-skill-registry --skill boliga-api

View on GitHub

skills/data/boliga-api/SKILL.md

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