# 네이버 플레이스 방문자 리뷰 수집

**Use case:** 

네이버 지도 링크만 넣으면 그 장소의 방문자 리뷰를 전부 수집합니다. 별점, 리뷰 본문, 작성일, 사진과 사장님 답글까지 함께 내려받으세요.

## Input

```json
{
  "searchQueries": [
    "강남 맛집"
  ],
  "placeUrls": [
    "https://map.naver.com/p/entry/place/1170792433"
  ],
  "businessType": "place",
  "maxPlaces": 100,
  "sortingOrder": "relevance",
  "openNow": false,
  "open24h": false,
  "booking": false,
  "delivery": false,
  "takeout": false,
  "npay": false,
  "coupon": false,
  "newlyOpened": false,
  "wheelchair": false,
  "includeDetail": true,
  "includeReviews": true,
  "maxReviewsPerPlace": 0,
  "includeBlogReviews": false,
  "deepBlogSearch": false,
  "maxBlogReviewsPerPlace": 100,
  "includePhotos": false,
  "maxPhotosPerPlace": 20,
  "includeBooking": false,
  "language": "ko"
}
```

## Output

```json
{
  "placeId": {
    "label": "Place id"
  },
  "name": {
    "label": "Name"
  },
  "ratingAverage": {
    "label": "Rating average"
  },
  "ratingCount": {
    "label": "Rating count"
  },
  "placeReviewsAvailable": {
    "label": "Place reviews available"
  },
  "placeBlogReviewsCollected": {
    "label": "Place blog reviews collected"
  },
  "ratingDistribution": {
    "label": "Rating distribution"
  },
  "reviewImageCount": {
    "label": "Review image count"
  },
  "reviewAnalysis": {
    "label": "Review analysis"
  },
  "visitorReviewScoreNum": {
    "label": "Visitor review score num"
  },
  "visitorReviewCountNum": {
    "label": "Visitor review count num"
  },
  "blogCafeReviewCountNum": {
    "label": "Blog cafe review count num"
  },
  "bookingReviewCountNum": {
    "label": "Booking review count num"
  },
  "totalReviewCountNum": {
    "label": "Total review count num"
  },
  "visitorReviewStats": {
    "label": "Visitor review stats"
  },
  "keywords": {
    "label": "Keywords"
  },
  "microReview": {
    "label": "Micro review"
  },
  "recentBlogPost": {
    "label": "Recent blog post"
  },
  "naverBlog": {
    "label": "Naver blog"
  },
  "reviewCount": {
    "label": "Review count"
  }
}
```

## 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`.
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- **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).