# Naver Place Rank: Gangnam Restaurants (강남 맛집 순위)

**Use case:** 

Check where a place ranks on Naver Map for '강남 맛집' and how its rank changed since the last run. Replace the keyword and place ID with your own and schedule it daily.

## Input

```json
{
  "keywords": [
    "강남 맛집"
  ],
  "myPlaces": [
    "1501340733"
  ],
  "maxRank": 50,
  "searchLocation": "37.4979,127.0276",
  "includeTopList": false,
  "compareWithLastRun": true,
  "historyStoreName": "naver-place-rank-history",
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

## Output

```json
{
  "type": {
    "label": "Row type",
    "format": "text"
  },
  "keyword": {
    "label": "Keyword",
    "format": "text"
  },
  "rank": {
    "label": "Rank",
    "format": "number"
  },
  "rankChange": {
    "label": "Rank change",
    "format": "number"
  },
  "placeId": {
    "label": "Place ID",
    "format": "text"
  },
  "name": {
    "label": "Name",
    "format": "text"
  },
  "placeName": {
    "label": "Place",
    "format": "text"
  },
  "found": {
    "label": "Found",
    "format": "boolean"
  },
  "category": {
    "label": "Category",
    "format": "text"
  },
  "address": {
    "label": "Address",
    "format": "text"
  },
  "visitorReviewCount": {
    "label": "Visitor reviews",
    "format": "number"
  },
  "blogReviewCount": {
    "label": "Blog reviews",
    "format": "number"
  },
  "url": {
    "label": "Naver Map URL",
    "format": "link"
  }
}
```

## How it works

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

The Naver Place Rank Tracker (네이버 플레이스 순위) Actor is ready to run with the inputs already set for "Naver Place Rank: Gangnam Restaurants (강남 맛집 순위)". [Sign up or log in](https://console.apify.com/create-task-from-example/RYjV7FEFsgHOTWQ2X) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Naver Place Rank: Gangnam Restaurants (강남 맛집 순위)" task

The Naver Place Rank Tracker (네이버 플레이스 순위) Actor will start running based on the input automatically. You can also change all the input fields, like keywords, my places (ids or links), and more, to match your specific use case.

### 3. Receive the "Naver Place Rank: Gangnam Restaurants (강남 맛집 순위)" 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 row type, keyword, rank, 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 "Naver Place Rank: Gangnam Restaurants (강남 맛집 순위)" task via API](https://apify.com/magenta_courser/naver-place-rank-tracker.md).

## About this Actor

This example demonstrates how to use [Naver Place Rank Tracker (네이버 플레이스 순위)](https://apify.com/magenta_courser/naver-place-rank-tracker.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/magenta_courser/naver-place-rank-tracker.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/magenta_courser/naver-place-rank-tracker.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`).