# Extract Seongsu Cafe Menus and Hours on Naver Map

**Use case:** 

Extract popular cafes in Seongsu-dong, Seoul, from Naver Map for cafe entrepreneurs and market researchers. Returns structured data including menus with KRW prices, businessHours, roadAddress, visitorReviewScore, and facilities. Adapt this task for other neighborhoods or business types by updating searchKeywords and category.

## Input

```json
{
  "mode": "search",
  "searchKeywords": [
    "성수동 카페"
  ],
  "placeUrls": [],
  "sortBy": "popular",
  "category": "카페",
  "maxResultsPerKeyword": 30,
  "includeDetails": true,
  "includeReviews": false,
  "maxReviewsPerPlace": 10,
  "openNow": false,
  "hasBooking": false,
  "hasNpay": false,
  "hasCoupon": false,
  "takeout": false,
  "newlyOpened": false,
  "wheelchairAccessible": false,
  "maxItems": 30,
  "monitoringMode": false,
  "emitUnchanged": false
}
```

## Output

```json
{
  "name": {
    "label": "Name"
  },
  "category": {
    "label": "Category"
  },
  "roadAddress": {
    "label": "Road address"
  },
  "businessHoursStatus": {
    "label": "Business hours status"
  },
  "phone": {
    "label": "Phone"
  },
  "visitorReviewScore": {
    "label": "Visitor review score"
  },
  "visitorReviewCount": {
    "label": "Visitor review count"
  },
  "placeUrl": {
    "label": "Place url"
  }
}
```

## How it works

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

The Naver Map Business Listings with Menu & Hours Data Actor is ready to run with the inputs already set for "Extract Seongsu Cafe Menus and Hours on Naver Map". [Sign up or log in](https://console.apify.com/create-task-from-example/hJkd7JZaZuUbY0x5x) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Extract Seongsu Cafe Menus and Hours on Naver Map" task

The Naver Map Business Listings with Menu & Hours Data Actor will start running based on the input automatically. You can also change all the input fields, like mode, search keywords (mode=search), and more, to match your specific use case.

### 3. Receive the "Extract Seongsu Cafe Menus and Hours on Naver Map" 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 name, category, road address, 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 "Extract Seongsu Cafe Menus and Hours on Naver Map" task via API](https://apify.com/dataspryva/naver-map-business-listings-with-menu-and-hours.md).

## About this Actor

This example demonstrates how to use [Naver Map Business Listings with Menu & Hours Data](https://apify.com/dataspryva/naver-map-business-listings-with-menu-and-hours.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dataspryva/naver-map-business-listings-with-menu-and-hours.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/dataspryva/naver-map-business-listings-with-menu-and-hours.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`).