Claude-skill-registry 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.

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/boliga-api" ~/.claude/skills/majiayu000-claude-skill-registry-boliga-api && rm -rf "$T"

manifest: skills/data/boliga-api/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
`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