# 네이버 플레이스 리뷰 분석 — 불만 유형·답글 대기

**Use case:** 

리뷰 분석 AI — 내 가게의 네이버 플레이스 링크를 넣으면 최신 방문자 리뷰를 모아 불만 유형(맛·위생·서비스·대기 등), 감성, 사장님 답글이 필요한 리뷰를 보여줍니다. 리뷰 수집은 별도 스크래퍼가 내 Apify 계정에 따로 청구합니다.

## Input

```json
{
  "placeUrls": [
    "https://map.naver.com/p/entry/place/1818558157"
  ],
  "maxPlaces": 5,
  "reviewsPerPlace": 30,
  "includeBlogReviews": false,
  "blogPerPlace": 10,
  "customLabels": [],
  "maxStars": 0,
  "maxReviewsPerPlace": 20,
  "maxItems": 0,
  "extraTextFields": [],
  "idFields": [],
  "complaintThreshold": 0.5,
  "suspectedThreshold": 0.8,
  "outputMode": "full",
  "maxConcurrency": 10,
  "healthCheck": false
}
```

## Output

```json
{
  "placeName": {
    "label": "Place",
    "format": "text"
  },
  "placeAddress": {
    "label": "Address",
    "format": "text"
  },
  "rating": {
    "label": "Stars",
    "format": "number"
  },
  "publishedAt": {
    "label": "Date",
    "format": "date"
  },
  "complaintTypes": {
    "label": "Complaints",
    "format": "text"
  },
  "reviewType": {
    "label": "Type",
    "format": "text"
  },
  "sponsorship": {
    "label": "Sponsorship (blog)",
    "format": "text"
  },
  "sponsorPhrase": {
    "label": "Disclosure wording",
    "format": "text"
  },
  "alert": {
    "label": "Serious issue",
    "format": "boolean"
  },
  "sentiment": {
    "label": "Sentiment",
    "format": "text"
  },
  "needsReply": {
    "label": "Needs reply",
    "format": "boolean"
  },
  "unanswered": {
    "label": "Unanswered",
    "format": "boolean"
  },
  "customLabelsMatched": {
    "label": "Your labels",
    "format": "text"
  },
  "text": {
    "label": "Review",
    "format": "text"
  },
  "reviewUrl": {
    "label": "Link",
    "format": "link"
  },
  "category": {
    "label": "Category",
    "format": "text"
  },
  "reviewId": {
    "label": "Review id"
  },
  "placeId": {
    "label": "Place id"
  },
  "index": {
    "label": "Index"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Naver Place Review Classifier — complaints & sponsors · $0.5/1k Actor is ready to run with the inputs already set for "네이버 플레이스 리뷰 분석 — 불만 유형·답글 대기". [Sign up or log in](https://console.apify.com/create-task-from-example/hr0UjbswmoVbsHm2h) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "네이버 플레이스 리뷰 분석 — 불만 유형·답글 대기" task

The Naver Place Review Classifier — complaints & sponsors · $0.5/1k Actor will start running based on the input automatically. You can also change all the input fields, like places (collect the reviews for me) — naver place url or id, max places, and more, to match your specific use case.

### 3. Receive the "네이버 플레이스 리뷰 분석 — 불만 유형·답글 대기" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as place, address, stars, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "네이버 플레이스 리뷰 분석 — 불만 유형·답글 대기" task via API](https://apify.com/leoworks/naver-place-review-classifier.md).

## About this Actor

This example demonstrates how to use [Naver Place Review Classifier — complaints & sponsors · $0.5/1k](https://apify.com/leoworks/naver-place-review-classifier.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/leoworks/naver-place-review-classifier.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/leoworks/naver-place-review-classifier.md

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`).