# Naver Map Places Scraper — Business Details & Review Stats (`mind_momentum/naver-map`) Actor

Extract business places from map.naver.com: name, category, address, phone, coordinates, review counts and ratings.

- **URL**: https://apify.com/mind\_momentum/naver-map.md
- **Developed by:** [Mind Momentum](https://apify.com/mind_momentum) (community)
- **Categories:** SEO tools, Travel
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.10 / 1,000 places

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **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 usage examples, see the [API](#api) section below.

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).

# README

## Naver Map Places Scraper — Business Details & Review Stats

Extract business places from [Naver Map](https://map.naver.com) — Korea's dominant
map and local-search platform. Get names, categories, addresses, phone numbers,
coordinates, review counts, ratings, and amenities for any keyword. **No login,
no cookies, no Naver account needed.**

### Why this actor

- **Local lead generation** — pull every cafe, restaurant, clinic, or gym in a
  district with phone numbers included
- **Market research** — compare review counts and ratings across areas or categories
- **Location data** — clean coordinates and full addresses for mapping and analysis
- **No friction** — the official Naver APIs require Korean phone verification;
  this actor needs nothing

### Features

- Up to **100 places per keyword** with full details (coordinates, review counts,
  ratings, amenities) — or up to **1,000 places** with GraphQL pagination (basic
  fields: name, phone, address)
- Ordered by Naver's search ranking (position field included)
- Review statistics: visitor review count, average score, total reviews
- Full address, phone (including virtual numbers), coordinates (x/y)
- Photo counts and amenity/facility lists
- Deduplicated by place id

### Scaling up

One run returns up to 100 places per keyword (full data) or up to 1,000 with
`max_items`. To cover more ground, **fan out across keyword × district
combinations** — each run targets a specific area + category:

| Run | Keyword | District |
|---|---|---|
| 1 | `강남 카페` | Gangnam cafes |
| 2 | `홍대 카페` | Hongdae cafes |
| 3 | `신촌 카페` | Sinchon cafes |
| 4 | `부산 피부과` | Busan dermatology |

Set up a **scheduled task** to run weekly — Naver review counts and ratings
change frequently, so periodic snapshots let you track reputation trends over
time.

### Input

| Field | Type | Description |
|---|---|---|
| keyword | string (required) | Search keyword. Combine area + category for best results, e.g. `강남 카페` |
| max\_items | integer | Total places to return. First 100 come with full details (address, phone, coordinates, review counts, ratings, amenities); beyond 100, places have basic fields (name, phone, address) via GraphQL pagination. Default 100, max 1,000. |
| proxyConfiguration | object | Optional Apify proxy settings (defaults to residential on platform) |

Example input:

```json
{"keyword": "강남 카페", "max_items": 100}
```

**Tip:** Korean keywords with an area name return the richest results —
`홍대 맛집` (Hongdae restaurants), `부산 피부과` (Busan dermatology clinics),
`판교 헬스장` (Pangyo gyms).

### Output

One dataset item per place. Items 1–100 (SSR tier) include all fields; items
101+ (GraphQL tier) have basic fields with nulls for coordinates, review counts,
and amenities.

```json
{
  "position": 1,
  "name": "티하우스 청담",
  "url": "https://map.naver.com/place/1183810461",
  "category": "카페,디저트",
  "address": "서울특별시 강남구 삼성동 57-11 1층 티하우스 청담",
  "phone": "0507-1345-2486",
  "x": 127.0546356,
  "y": 37.5189217,
  "visitor_review_count": 1164,
  "visitor_review_score": 4.67,
  "total_review_count": 867,
  "image_count": 15,
  "options": "무선 인터넷,단체 이용 가능,포장,배달,제로페이,간편결제,주차",
  "place_id": "1183810461"
}
```

| Field | Type | Description |
|---|---|---|
| position | integer | Global rank across all results, starting at 1 |
| name | string | Business name as shown |
| url | string | Place detail link `https://map.naver.com/place/{place_id}` |
| category | string | Display category (null for GraphQL-tier items beyond 100) |
| address | string | Full street address |
| phone | string | Phone number (real or virtual 0507-...) |
| x | float | Longitude (null for items beyond 100) |
| y | float | Latitude (null for items beyond 100) |
| visitor\_review\_count | integer | Number of visitor reviews (null for items beyond 100) |
| visitor\_review\_score | float | Average visitor rating (null for items beyond 100) |
| total\_review\_count | integer | Total review count (null for items beyond 100) |
| image\_count | integer | Number of place photos (null for items beyond 100) |
| options | string | Amenities/facilities as shown (null for items beyond 100) |
| place\_id | string | Naver place identifier |

### Pricing

Pay-per-result: **$3.00 per 1,000 places** ($2.10/1k on Apify paid plans) (plus a small actor-start fee).
You only pay for places actually delivered to the dataset.

# Actor input Schema

## `keyword` (type: `string`):

Search keyword. Combine area and category for the best results, e.g. '강남 카페' (Gangnam cafes) or '홍대 맛집' (Hongdae restaurants).

## `max_items` (type: `integer`):

Total places to return per keyword. First 100 come with full details (address, phone, coordinates, review counts, ratings, amenities); beyond 100, places have basic fields (name, phone, address) via GraphQL pagination. Default 100 ≈ one SSR page; max 1000.

## `proxyConfiguration` (type: `object`):

Residential proxy used on the Apify platform to bypass datacenter-IP blocks. Leave default unless you know you need custom proxy settings.

## Actor input object example

```json
{
  "max_items": 100
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("mind_momentum/naver-map").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("mind_momentum/naver-map").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call mind_momentum/naver-map --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mind_momentum/naver-map"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/4vHObbeD4CLrSqsg2/builds/ztVgqieJmT1ehTaUT/openapi.json