# 서울 아파트 시세 데이터

**Use case:** 

마포·송파 등 서울 자치구 단지별 월간 평균 시세, 실거래 최고가, 대출가능가, 거래 건수, 세대수, 준공연도, 위경도까지 CSV·JSON으로 내려받기.

## Input

```json
{
  "scrapeMode": "detail",
  "regionCodes": [
    "11440",
    "11710"
  ],
  "tradeType": "sale",
  "maxResults": 25
}
```

## Output

```json
{
  "thumbnail": {
    "label": "🖼️ Thumbnail",
    "format": "string"
  },
  "complexName": {
    "label": "🏢 Complex Name",
    "format": "string"
  },
  "sigungu": {
    "label": "🏙️ District (시군구)",
    "format": "string"
  },
  "dong": {
    "label": "📍 Neighborhood (동)",
    "format": "string"
  },
  "monthly_avg_price_krw": {
    "label": "📊 Monthly Avg Price (KRW)",
    "format": "integer"
  },
  "monthly_avg_price_usd": {
    "label": "💵 Monthly Avg Price (USD)",
    "format": "integer"
  },
  "max_real_trade_price_krw": {
    "label": "🥇 Max Real Trade Price (KRW)",
    "format": "integer"
  },
  "loanable_trade_price_krw": {
    "label": "🏦 Loanable Price (KRW)",
    "format": "integer"
  },
  "trade_count": {
    "label": "🔁 Lifetime Trade Count",
    "format": "integer"
  },
  "total_household": {
    "label": "🏘️ Total Households",
    "format": "integer"
  },
  "build_year": {
    "label": "📆 Build Year",
    "format": "integer"
  },
  "floor_max": {
    "label": "🔝 Max Floor",
    "format": "integer"
  },
  "latitude": {
    "label": "🌐 Latitude",
    "format": "number"
  },
  "longitude": {
    "label": "🌐 Longitude",
    "format": "number"
  },
  "review_count": {
    "label": "💬 Review Count",
    "format": "integer"
  },
  "url": {
    "label": "🔗 Complex URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Hogangnono Scraper — Korea Apartment Price Data & API](https://apify.com/sian.agency/hogangnono-apartment-analytics-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/sian.agency/hogangnono-apartment-analytics-scraper.md) to learn more, explore other use cases, and run it yourself.


## 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.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/sian.agency/hogangnono-apartment-analytics-scraper.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
