# Korea Apartment Complex Data API - 아파트 단지정보 (MOLIT K-apt) (`elabstudio/korea-apartment-complexes`) Actor

Official South Korea apartment complex directory from MOLIT K-apt open data: households, buildings, floors, built year, builder, unit size mix, heating, parking, EV chargers, nearby subway and schools.

- **URL**: https://apify.com/elabstudio/korea-apartment-complexes.md
- **Developed by:** [E:LAB STUDIO](https://apify.com/elabstudio) (community)
- **Categories:** Real estate, Lead generation
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 complexes

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Korea Apartment Complex Data API: 아파트 단지정보 (MOLIT K-apt)

Get **official facts about every South Korean apartment complex** in a district as clean JSON / CSV / Excel: number of households and buildings, floors, use-approval (built) date, builder, unit size mix, heating, parking spaces, EV chargers, nearest subway station and nearby schools. Data comes from the Ministry of Land, Infrastructure and Transport (MOLIT) apartment management information system (K-apt, 공동주택관리정보시스템) through the official open data API, not from scraping listing sites.

Pairs with our [Korea Real Estate Scraper (실거래가)](https://apify.com/elabstudio/korea-real-estate-transactions): join transaction prices to complex facts on the complex name and legal-dong code.

### What you can use it for

- **Proptech and valuation models**: features like built year, households, floors, parking per household, heating and size mix for AVMs and price models.
- **Investment screening**: list all complexes over 1,000 households built after 2010 in a district, with the nearest subway.
- **Market research**: count complexes and households by builder (삼성물산 래미안, GS건설 자이, 현대 힐스테이트) or by district.
- **Data enrichment**: attach English building facts to Korean addresses or complex names you already have.
- **Services and B2B**: management-company names and complex counts for facility, EV charging or telecom sales planning.

### Input

| Field | Example | Notes |
|---|---|---|
| `regions` | `["Gangnam-gu, Seoul", "Mapo-gu"]` | English or Korean district names, provinces (all districts), cities with sub-districts, or 5-digit codes like `11680`. |
| `nameContains` | `래미안` | Optional complex name filter (Korean or romanized). |
| `complexCodes` | `["A10021281"]` | Optional K-apt codes to look up directly. |
| `includeDetails` | `true` | Adds parking, elevators, CCTV, EV chargers, structure, subway, walking times, nearby schools and facilities. |
| `minHouseholds` | `500` | Skip smaller complexes. |
| `builtAfterYear` | `2015` | Only newer complexes. |
| `maxItems` | `200` | Stop after N complexes. `0` = no limit. |

Example: all Raemian complexes in Seocho-gu

```json
{ "regions": ["Seocho-gu, Seoul"], "nameContains": "래미안", "maxItems": 0 }
```

Example: large new complexes in Seongnam

```json
{ "regions": ["Seongnam-si"], "minHouseholds": 1000, "builtAfterYear": 2015, "maxItems": 0 }
```

### Output example

```json
{
  "complex_code": "A13508006",
  "name_ko": "역삼래미안펜타빌",
  "name_romanized": "Yeoksamnaemianpentabil",
  "housing_type": "apartment",
  "province": "Seoul",
  "district": "Gangnam-gu",
  "neighborhood": "Yeoksam-dong",
  "legal_dong_code": "1168010100",
  "road_address_ko": "서울특별시 강남구 역삼로 309",
  "zipcode": "06215",
  "approval_date": "2007-11-30",
  "built_year": 2007,
  "households": 288,
  "buildings": 5,
  "top_floor": 24,
  "basement_floors": 2,
  "total_floor_area_m2": 50041,
  "units_over_135m2": 288,
  "sale_type": "for_sale",
  "heating": "district",
  "hallway_type": "staircase",
  "management_type": "outsourced",
  "builder_ko": "삼성물산",
  "structure_ko": "철근콘크리트구조",
  "parking_spaces_total": 665,
  "elevators": 8,
  "cctv_count": 105,
  "ev_chargers_underground": 14,
  "subway_line_ko": "2호선, 분당선",
  "subway_station_ko": "선릉",
  "walk_time_to_subway_ko": "5~10분이내",
  "education_facilities_ko": "초등학교(도성초교) 중학교(진선여중) 고등학교(진선여고)",
  "source": "MOLIT K-apt (공동주택관리정보시스템) via data.go.kr, license: no restriction (이용허락범위 제한 없음)"
}
```

### Pricing

Pay per result: **$3.00 per 1,000 complexes** ($0.003 each), facilities and transport details included. Platform usage is covered by us. You can set a maximum cost per run and the actor stops when it is reached.

### FAQ

**Which complexes are covered?** Apartment and mixed-use residential complexes registered in K-apt, which covers complexes that must disclose management information by law (generally 150+ households or with elevators/central heating). Small villas and officetels are mostly not included.

**Does it include prices?** No. Use our [Korea Real Estate Scraper](https://apify.com/elabstudio/korea-real-estate-transactions) for official sale and rent prices, then join on complex name and legal-dong code.

**Does it include personal data?** No. Only building facts and the management office phone published by MOLIT. No owner or resident information.

**Can I search in English?** Region names work in English or Korean. Complex names are Korean in the source; a romanized name is added to every row and the name filter also matches romanized text.

**How fresh is the data?** It is read live from the official API on every run.

### Source and license

Data: 국토교통부 공동주택 단지 목록제공 서비스 and 국토교통부 공동주택 기본 정보제공 서비스 via 공공데이터포털 (data.go.kr), license "이용허락범위 제한 없음" (no restriction on use). Source: Ministry of Land, Infrastructure and Transport (MOLIT), K-apt. This actor is not affiliated with MOLIT.

# Actor input Schema

## `regions` (type: `array`):

Districts or provinces. English or Korean names, or 5-digit district codes. Examples: "Gangnam-gu, Seoul", "서울 마포구", "Seongnam-si" (all its districts), "Busan" (whole province), "11680".

## `nameContains` (type: `string`):

Optional filter on the complex name, Korean (래미안, 자이, 힐스테이트) or romanized.

## `complexCodes` (type: `array`):

Optional K-apt complex codes (e.g. A10021281) to look up directly, with or without regions.

## `includeDetails` (type: `boolean`):

Adds parking, elevators, CCTV, EV chargers, structure, nearest subway, walking times and nearby schools/facilities (one extra API call per complex, no extra charge).

## `minHouseholds` (type: `integer`):

Skip complexes smaller than this. 0 = no filter.

## `builtAfterYear` (type: `integer`):

Only complexes with a use-approval year on or after this. 0 = no filter.

## `maxItems` (type: `integer`):

Stop after N complexes. 0 = no limit.

## Actor input object example

```json
{
  "regions": [
    "Gangnam-gu, Seoul"
  ],
  "includeDetails": true,
  "minHouseholds": 0,
  "builtAfterYear": 0,
  "maxItems": 50
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "regions": [
        "Gangnam-gu, Seoul"
    ],
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("elabstudio/korea-apartment-complexes").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "regions": ["Gangnam-gu, Seoul"],
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("elabstudio/korea-apartment-complexes").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "regions": [
    "Gangnam-gu, Seoul"
  ],
  "maxItems": 50
}' |
apify call elabstudio/korea-apartment-complexes --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,elabstudio/korea-apartment-complexes"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/qaw9KMa30engaWLpv/builds/QEFciAQPiclVRQFvW/openapi.json