korea-real-estate 0.2.0

Python client for Korean public real estate APIs

korea-real-estate

한국 공공 부동산 데이터 Python 클라이언트

Python library and CLI for querying Korean government real estate data: land sales, building permits, price trend indices, appraised values, zoning, and address resolution.

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Contents

• Installation
• Getting API Keys
• Configuration
• Quick Start
• Client Reference
  • KoreaRealEstateClient (master)
  • EventsClient — historical transactions
  • LandClient — parcel data
  • BuildingClient — building registry
  • MarketClient — price trends
  • AddressClient — address resolution
• Error Handling
• CLI Reference
• Region Codes
• API Reference Links

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Installation

pip install korea-real-estate

Python 3.11+ required.

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Getting API Keys

Each data source requires a separate key from the Korean government data portal.

1. Create an account at www.data.go.kr
2. Search for each API and click 활용신청 (Apply for use)
3. Copy your 서비스키 from 마이페이지 → 오픈API 활용현황

Env Var	API	Portal Link
SALES_HISTORY_API_KEY	토지 매매 실거래가	15126466
COMMERCIAL_SALES_API_KEY	상업용 부동산 매매 실거래가	15058017
BUILDING_PERMITS_API_KEY	건축인허가 정보	15044525
ZONING_API_KEY	토지이용계획	15113034
APPRAISED_VALUE_API_KEY	개별공시지가 (NSDI)	15057159
STANDARD_LAND_PRICE_API_KEY	표준지공시지가	15056649
BUILDING_REGISTRY_API_KEY	건축물대장	15044521
BUILDING_MAP_API_KEY	건물 공간정보	15058453
PRICE_TRENDS_API_KEY	한국부동산원 통계 (REB)	reb.or.kr
ADDRESS_RESOLVER_API_KEY	주소 검색 (Juso)	juso.go.kr

Keys from data.go.kr are URL-encoded. Use them as-is — do not re-encode.

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Configuration

cp .env.example .env

.env:

# Historical transactions
SALES_HISTORY_API_KEY=your_key_here
COMMERCIAL_SALES_API_KEY=your_key_here
BUILDING_PERMITS_API_KEY=your_key_here

# Land parcel
ZONING_API_KEY=your_key_here
APPRAISED_VALUE_API_KEY=your_key_here
STANDARD_LAND_PRICE_API_KEY=your_key_here

# Building
BUILDING_REGISTRY_API_KEY=your_key_here
BUILDING_MAP_API_KEY=your_key_here

# Market trends (REB)
PRICE_TRENDS_API_KEY=your_key_here

# Address resolution (Juso)
ADDRESS_RESOLVER_API_KEY=your_key_here

# Defaults
DEFAULT_REGION_CODE=42820
REQUEST_TIMEOUT_SECONDS=30
MAX_RETRIES=3

Never commit .env — it is git-ignored.

---

Quick Start

from korea_realestate import KoreaRealEstateClient

client = KoreaRealEstateClient()

# Land sales last 6 months
df = client.events.get_land_sales(region_code="42820", start_year_month="202410", end_year_month="202503")

# Official appraised land value
df = client.land.get_appraised_value(region_code="42820", year=2024)

# Building registry
df = client.building.get_registry(region_code="42820")

# Market price trend
df = client.market.get_price_trends(region_code="42820", index_type="land", start_year_month="202401", end_year_month="202412")

# Resolve address
result = client.address.resolve("강원도 고성군 대진리 123")

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Client Reference

KoreaRealEstateClient (master)

Single entry point. Instantiates and wires all domain clients with shared HTTP connections.

from korea_realestate import KoreaRealEstateClient

client = KoreaRealEstateClient()

client.events    # EventsClient
client.land      # LandClient
client.building  # BuildingClient
client.market    # MarketClient
client.address   # AddressClient

For testing, inject mock HTTP clients:

from unittest.mock import MagicMock
from korea_realestate.http import PublicDataClient, RebClient, JusoClient

client = KoreaRealEstateClient(
    public_data_client=MagicMock(spec=PublicDataClient),
    reb_client=MagicMock(spec=RebClient),
    juso_client=MagicMock(spec=JusoClient),
)

---

EventsClient — historical transactions

# Land sales
df = client.events.get_land_sales(
    region_code="42820",
    start_year_month="202401",
    end_year_month="202412",
    land_category="임",   # optional: 임 | 전 | 답 | 대 | …
    limit=50,             # most recent N rows
)
# columns: deal_date, region, dong, parcel, land_category, area_sqm,
#          price_10k_won, price_per_sqm, zoning, buyer_type, cancelled

# Commercial / factory / warehouse sales
df = client.events.get_commercial_sales(
    region_code="42820",
    start_year_month="202401",
    end_year_month="202412",
    property_type="상업용",  # optional
    limit=20,
)
# columns: deal_date, region, dong, building_use, land_area_sqm,
#          building_area_sqm, floors, build_year, price_10k_won

# Building permits
df = client.events.get_permit_history(
    region_code="42820",
    start_date="20240101",
    end_date="20241231",
    permit_type="신축",   # optional: 신축 | 증축 | 대수선 | 철거
    limit=10,
)
# columns: address, permit_type, main_use, site_area_sqm, building_area_sqm,
#          floor_area_ratio, coverage_ratio, permit_date, start_date, completion_date

---

LandClient — parcel data

# Zoning classification
df = client.land.get_zoning(region_code="42820", dong="대진리")
# columns: region, dong, parcel, land_category, zoning_class, area_sqm

# Official appraised land value (개별공시지가)
df = client.land.get_appraised_value(region_code="42820", year=2024)
# columns: region, dong, parcel, area_sqm, value_per_sqm, total_value, reference_year

# Standard land price (표준지공시지가)
df = client.land.get_standard_price(region_code="42820", year=2024)
# columns: region, dong, parcel, land_category, area_sqm, price_per_sqm,
#          reference_year, zoning, terrain, road_access

# Full parcel profile (all sources combined)
profile = client.land.get_full_profile(
    region_code="42820",
    history_limit=12,       # months of sales history
    nearby_radius_m=500,    # optional: include nearby parcels snapshot
)
# profile["parcel"]["zoning"]          → DataFrame
# profile["parcel"]["appraised_value"] → DataFrame
# profile["parcel"]["standard_price"]  → DataFrame
# profile["history"]["sales"]          → DataFrame
# profile["nearby"]                    → list | None

---

BuildingClient — building registry

# Building registry (건축물대장)
df = client.building.get_registry(
    region_code="42820",
    parcel_main="100",   # optional
    parcel_sub="5",      # optional
    ledger_type="표제부",  # 표제부 | 총괄표제부 | 층별개요 | 지역지구구역
)
# columns: address, building_name, main_use, structure,
#          floors_above, total_area_sqm, …

# Building map layer (GeoJSON)
geojson = client.building.get_map_layer(region_code="42820")
# geojson["type"] == "FeatureCollection"

# Permit history (delegates to EventsClient)
df = client.building.get_permit_history(
    region_code="42820",
    start_date="20240101",
    end_date="20241231",
)

# Full building profile
profile = client.building.get_full_profile(
    region_code="42820",
    history_limit=12,
    nearby_radius_m=None,
)
# profile["building"]["registry"]   → DataFrame
# profile["building"]["map_layer"]  → GeoJSON dict
# profile["history"]["permits"]     → DataFrame
# profile["nearby"]                 → list | None

---

MarketClient — price trends

# Land or housing price index (한국부동산원)
df = client.market.get_price_trends(
    region_code="42820",
    index_type="land",          # "land" or "housing"
    start_year_month="202401",
    end_year_month="202412",
    limit=12,
)
# columns: period, region, index_value, change_pct_mom, change_pct_yoy

# Commercial property comparables (delegates to EventsClient)
df = client.market.get_commercial_comps(
    region_code="42820",
    start_year_month="202401",
    end_year_month="202412",
)

# Full market profile
profile = client.market.get_full_profile(region_code="42820", history_limit=12)
# profile["trends"]["land"]              → DataFrame
# profile["trends"]["housing"]           → DataFrame
# profile["history"]["commercial_sales"] → DataFrame

---

AddressClient — address resolution

# Resolve one address
result = client.address.resolve("강원도 고성군 대진리 123")
# result: {road_addr, jibun_addr, zip, region_code, x, y, …}

# Batch resolve
results = client.address.resolve_many(["주소1", "주소2"])

# Get 5-digit 시군구 region code from address string
code = client.address.to_region_code("고성군 대진리")  # → "42820"

---

Error Handling

from korea_realestate.exceptions import (
    APIKeyError,          # missing, invalid, or expired key
    RateLimitError,       # daily call limit exceeded
    RegionNotFoundError,  # no data returned for region/period
    APIResponseError,     # unexpected HTTP or XML error
)

try:
    df = client.events.get_land_sales(region_code="42820", start_year_month="202401", end_year_month="202412")
except APIKeyError as e:
    print("Check your API key:", e)
except RateLimitError:
    print("Daily limit exceeded — try again tomorrow")
except RegionNotFoundError:
    print("No data for this region/period")
except APIResponseError as e:
    print("Unexpected API error:", e)

---

CLI Reference

Keys are read from .env automatically.

# Land sales
korea-realestate sales --region 42820 --from 202401 --to 202412 --land-category 임 --output sales.csv

# Commercial / factory / warehouse sales
korea-realestate commercial-sales --region 42820 --from 202401 --to 202412

# Building permits
korea-realestate permits --region 42820 --from 20240101 --to 20241231 --type 신축

# Zoning lookup
korea-realestate zoning --region 42820 --dong 대진리

# Official appraised land value
korea-realestate appraised-value --region 42820 --year 2024

# Price trend index
korea-realestate price-trends --region 42820 --type land --from 202401 --to 202412

# Building registry
korea-realestate building-registry --region 42820 --parcel 100-5

# Resolve address
korea-realestate resolve-address "강원도 고성군 대진리 123"

All commands accept --output <file.csv> to save results.

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Running Tests

pip install "korea-real-estate[dev]"
pytest

Tests use respx to mock HTTP — no real API keys needed.

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Region Codes

5-digit 시군구 codes (법정동코드 앞 5자리).

Region	Code	Region	Code
고성군 (강원)	42820	속초시	42210
양양군	42830	인제군	42810
춘천시	42110	원주시	42130
강릉시	42150	동해시	42170
강남구	11230	서초구	11220
송파구	11240	용산구	11030
수원시영통구	41117	성남시분당구	41135
제주시	50110	서귀포시	50130
세종시	36110	해운대구	21090

Lookup helper:

from korea_realestate.utils import get_code

code = get_code("고성군")  # → "42820"
code = get_code("고성")    # → "42820" (fuzzy match)

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API Reference Links

API	Portal
Land Sales	data.go.kr/15126466
Commercial Sales	data.go.kr/15058017
Building Permits	data.go.kr/15044525
Zoning	data.go.kr/15113034
Appraised Value	data.go.kr/15057159
Standard Land Price	data.go.kr/15056649
Building Registry	data.go.kr/15044521
Building Map	data.go.kr/15058453
Price Trends (REB)	reb.or.kr
Address (Juso)	juso.go.kr

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License

MIT — see LICENSE