Korea Commercial Property Sales - Official Transaction Register

Every reported sale of retail, office, hospitality and other commercial property in Korea, straight from the government register.

When commercial property changes hands in Korea the sale must be reported by law, and the Ministry of Land publishes those filings. This Actor turns them into clean rows: price, building and land area, zoning, use class, buyer and seller type, with price per pyeong worked out for you.

This is the commercial counterpart to apartment data. It covers the buildings apartments never do - shops, offices, hotels, clinics and mixed-use blocks.

What you get

Field	Description
dealDate	Date of the contract
district / legalDong	District and neighbourhood
buildingUse	Use class: 판매 retail, 업무 office, 숙박 hospitality, 근린생활 neighbourhood facility
landUse	Zoning: 일반상업, 중심상업, 준주거, 제1~3종일반주거 and so on
buildingType / isWholeBuilding	집합 a unit inside a building, 일반 the whole standalone building
priceManwon / priceKrw	Price as published, and in won
buildingAreaM2 / buildingAreaPyeong	Building area, both units
pricePerPyeongManwon	How the Korean market actually quotes value
landAreaM2 / landAreaPyeong	Land area, filled in for standalone buildings
landPricePerPyeongManwon	Price against land area, the figure that drives redevelopment
floor / buildYear / buildingAgeYears	Floor, year built, and age at the time of sale
dealType / isDirectDeal	Brokered or direct - close to half of these deals skip an agent
buyerType / sellerType	Individual, corporate or public body
isShareDeal	Whether only a fraction of the property was sold
isCancelled / cancelledOn	Contracts later cancelled

You need your own free key

This Actor calls the government API on your behalf, using a key issued to you.

1. Sign up at data.go.kr
2. Search for 상업업무용 부동산 매매 실거래가 자료
3. Press 활용신청 - approval is automatic and gives 10,000 calls a day
4. Paste the Encoding key into this Actor

The data itself is published with no usage restrictions, so what you collect is yours to keep, analyse and redistribute.

Example input

{
  "serviceKey": "your-key-here",
  "districts": ["서울 강남구", "서울 종로구"],
  "startMonth": "202601",
  "endMonth": "202606",
  "buildingTypes": ["판매", "업무"]
}

District names

You can write a district name such as 서울 강남구, or just 강남구. Names are resolved for Seoul and the metropolitan cities. Everywhere else, use the five-digit code, which always works - for example 41135 for 성남시 분당구.

Codes are the first five digits of the legal district code.

Example output

{
  "dealDate": "2026-06-28",
  "district": "종로구",
  "legalDong": "안국동",
  "buildingType": "일반",
  "isWholeBuilding": true,
  "buildingUse": "제2종근린생활",
  "landUse": "제1종일반주거",
  "priceManwon": 900000,
  "priceKrw": 9000000000,
  "buildingAreaM2": 468.11,
  "buildingAreaPyeong": 141.6,
  "pricePerPyeongManwon": 6356,
  "landAreaM2": 238,
  "landAreaPyeong": 71.99,
  "landPricePerPyeongManwon": 12502,
  "buildYear": 2019,
  "buildingAgeYears": 7,
  "dealType": "중개거래",
  "isDirectDeal": false,
  "buyerType": "법인",
  "sellerType": "법인"
}

What people use it for

• Site selection - what retail space actually costs on a given street, filtered to the use class you need
• Valuation and lending - comparable commercial sales by zoning and area
• Redevelopment screening - land price per pyeong on standalone buildings
• Corporate activity - which districts corporate buyers are moving into
• Proptech products - a legal, citable source you can build on

Reading the data honestly

Four things distort commercial figures if you ignore them. This Actor handles the first three for you, and gives you the fields to catch the fourth.

Part-share deals. About one deal in fourteen transfers only a fraction of a property. The price on that row does not correspond to the area on the same row, so a 20% share reads as an implausible bargain. Those rows are kept and flagged with isShareDeal, and their per-pyeong figures are left empty rather than published as a number that would mislead. Set excludeShareDeals to drop them.

Unit versus whole building. A 집합 row is one unit inside a building; a 일반 row is the entire standalone building. Mixing them makes averages meaningless. Use isWholeBuilding to separate them. Land area and floor are only ever filled in for standalone buildings, which is why those fields are often empty.

Cancelled contracts. Excluded by default so averages are not distorted. Turn them on if you want to study cancellations.

Bulk registrations from a single development. Commercial buildings are often sold unit by unit and registered in the same month, so one new development can supply most of a district's rows. In a June 2026 sample of 종로구, 89 of 129 unit sales came from one building on a single lot, pulling the district median well above the surrounding market. Group by legalDong and jibun before taking an average, or weight by floor area.

Pricing

Pay per result. You are charged only for transactions actually returned.

Notes

• Prices are published in 만원 (ten thousand won). Both that and the won figure are included.
• jibun is partly masked at source on commercial records, so it identifies the block rather than the exact lot.
• agentDistrict is where the broker is registered, which is not always where the property is.
• Source: Ministry of Land, Infrastructure and Transport, via data.go.kr. Updated daily.