# 지역 전체 업체 정보 수집 | 네이버 지도

**Use case:** 

검색어 한 개로는 300곳까지만 나옵니다. 지역을 지정하면 그 구 전체의 업체를 훑어 상호명, 주소, 전화번호, 영업시간, 평점을 모두 수집합니다.

## Input

```json
{
  "searchQueries": [
    "카페"
  ],
  "businessType": "cafe",
  "maxPlaces": 5000,
  "coverageArea": "0968",
  "sortingOrder": "relevance",
  "openNow": false,
  "open24h": false,
  "booking": false,
  "delivery": false,
  "takeout": false,
  "npay": false,
  "coupon": false,
  "newlyOpened": false,
  "wheelchair": false,
  "includeDetail": true,
  "includeReviews": false,
  "maxReviewsPerPlace": 20,
  "includeBlogReviews": false,
  "deepBlogSearch": false,
  "maxBlogReviewsPerPlace": 100,
  "includePhotos": false,
  "maxPhotosPerPlace": 20,
  "includeBooking": false,
  "language": "ko"
}
```

## Output

```json
{
  "placeId": {
    "label": "Place id"
  },
  "name": {
    "label": "Name"
  },
  "category": {
    "label": "Category"
  },
  "businessType": {
    "label": "Business type"
  },
  "roadAddress": {
    "label": "Road address"
  },
  "address": {
    "label": "Address"
  },
  "phone": {
    "label": "Phone"
  },
  "latitude": {
    "label": "Latitude"
  },
  "longitude": {
    "label": "Longitude"
  },
  "visitorReviewScoreNum": {
    "label": "Visitor review score num"
  },
  "visitorReviewCountNum": {
    "label": "Visitor review count num"
  },
  "placeReviewsAvailable": {
    "label": "Place reviews available"
  },
  "placeBlogReviewsCollected": {
    "label": "Place blog reviews collected"
  },
  "blogCafeReviewCountNum": {
    "label": "Blog cafe review count num"
  },
  "totalReviewCountNum": {
    "label": "Total review count num"
  },
  "saveCountNum": {
    "label": "Save count num"
  },
  "placeUrl": {
    "label": "Place url"
  },
  "mapUrl": {
    "label": "Map url"
  },
  "hasDetail": {
    "label": "Has detail"
  },
  "hasPhotos": {
    "label": "Has photos"
  },
  "hasReviews": {
    "label": "Has reviews"
  },
  "hasBookingData": {
    "label": "Has booking data"
  }
}
```

## About this Actor

This example demonstrates how to use [Naver Map & Place Scraper 네이버 지도·플레이스 - Korean Business Data](https://apify.com/zen-studio/naver-place-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/zen-studio/naver-place-scraper) 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/zen-studio/naver-place-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).