# Korea New Businesses – Restaurants, Shops & Sellers List (`korea-b2b-data/korea-new-business-openings`) Actor

Korea new business list: newly opened restaurants, cafes, online sellers, food manufacturers, beauty salons and new employers in South Korea. Updated daily from official government data. English output, no API key needed.

- **URL**: https://apify.com/korea-b2b-data/korea-new-business-openings.md
- **Developed by:** [Korea B2B Data](https://apify.com/korea-b2b-data) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 opening results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## Korea New Business Openings – Fresh B2B Leads from Government Licensing Data

Get **businesses that just opened in South Korea** – restaurants, cafes, online sellers, food manufacturers, beauty salons and new employers – straight from **official government licensing records**, updated **daily**, with **English field names, romanized city names and map coordinates**.

No Korean language skills, no government API key, no scraping.

### What you get

- **New licences, newest first**: every business gets a licence from its local government before it opens. Thousands are issued every week (e.g. 5,600+ new restaurants in September 2026 alone).
- **6 business types**
  - Restaurants (일반음식점)
  - Cafes & snack bars (휴게음식점)
  - Online sellers / e-commerce businesses (통신판매업)
  - Food manufacturers (식품제조가공업)
  - Beauty salons (미용업)
  - New employers that just joined the national pension system, **with headcount** (국민연금 신규 가입 사업장)
- **Location**: province, city/district (romanized), Korean address, postal code, **latitude/longitude (WGS84)**
- **Category in English** (e.g. Korean BBQ, Coffee shop, Nail salon, Fashion & beauty online store) plus the original Korean label
- **Status**: open / closed, with the closing date if it already closed
- `openedOn`, `asOf` and `source` fields on every row

### Typical uses

- **Sell to new businesses first**: POS, payments, delivery apps, food supply, insurance, interior, marketing, accounting
- **Territory planning**: new openings by district on a map
- **Market tracking**: which categories are opening where, week by week
- **AI agents**: call it as a tool through the Apify MCP server ("new cafes in Busan this month")

### Input example

```json
{
  "businessTypes": ["restaurant", "cafe"],
  "province": "Seoul",
  "city": "Gangnam-gu",
  "openedAfter": "2026-09-01",
  "maxResults": 200
}
```

### Output example

```json
{
  "businessName": "예시카페",
  "businessType": "cafe",
  "businessTypeLabel": "Cafe / snack bar",
  "businessTypeKo": "휴게음식점",
  "category": "Coffee shop",
  "categoryKo": "커피숍",
  "openedOn": "2026-09-23",
  "status": "open",
  "closedOn": null,
  "province": "Seoul",
  "city": "Gangnam-gu",
  "cityKo": "강남구",
  "addressKo": "서울특별시 강남구 테헤란로 1",
  "postalCode": "06000",
  "latitude": 37.5,
  "longitude": 127.03,
  "employees": null,
  "licenseId": "3220000-104-2026-00000",
  "asOf": "2026-09-26",
  "source": "Korea Ministry of the Interior and Safety, local licensing data (data.go.kr 15154921)"
}
```

(Fictional example showing the format.)

### Pricing

**$0.004 per business returned** ($4 per 1,000). No start fee. You only pay for results you receive; set `maxResults` to cap your spend.

### Data notes

- **Sources**: Korea Ministry of the Interior and Safety local licensing data (one dataset per business type) and the Korean National Pension Service workplace dataset, both published on the Korean government open data portal (data.go.kr) under an unrestricted-use license.
- **Freshness**: licensing data is refreshed daily and reflects records up to about 2 days ago. New-employer data is refreshed monthly and runs about 1–2 months behind; when you leave `openedAfter` empty, new employers from the latest available month are returned.
- **Future dates**: some licences are dated a few days ahead of the actual opening. They are included by default.
- **Business names** are returned as registered (in Korean). When a sole proprietor's business name contains a personal name, the name part is masked (`○○○`).
- **Masked addresses**: for online sellers, the source masks building numbers (`***`). We return them as published.
- **Employees** is only available for new employers (national pension enrollees).
- **No contact data**: this Actor does not return phone numbers or emails.
- **Not official statistics**: intended for business lookup and prospecting.

### Data sources & license

- **Korea Ministry of the Interior and Safety – local licensing data**, one dataset per business type on the Korean government open data portal (data.go.kr): restaurants 15154916, cafes & snack bars 15154921, online sellers 15154963, food manufacturers 15155150, beauty salons 15154918. Refreshed daily (records up to about 2 days ago).
- **Korean National Pension Service – workplace dataset** (data.go.kr 15083277) for new employers. Refreshed monthly (1–2 months behind).
- License: unrestricted use, including commercial use (Korea Public Data Portal).
- Every row includes `source` (with the dataset ID) and `asOf`.

### Disclaimer

This Actor is an independent product. It is **not affiliated with, endorsed by or operated by** the Korean government or any of the agencies named above. Data is provided as published by the source, without warranty; English translations and romanized place names are generated automatically and may contain errors. The data is intended for business lookup and prospecting, **not as official statistics**. No personal contact data (phone numbers, emails) is returned.

### FAQ

**Can I search in English?** Yes. Province and city filters accept English (e.g. `Busan`, `Haeundae-gu`). Korean also works for city.

**How far back can I go?** Up to 365 days. The default is the last 30 days.

**Why do some runs take a minute?** Licensing data is fetched live from the government source so it is always current. Setting a city or district (e.g. `Bundang`, `해운대`) filters at the source and is the fastest way to run. Typical times: one district a few seconds to a minute; a whole country with all types and 200+ results can take around 5 minutes.

# Actor input Schema

## `businessTypes` (type: `array`):

Which kinds of new businesses to return. Leave empty for all.

## `province` (type: `string`):

Leave empty for all of South Korea.

## `city` (type: `string`):

Part of the city, county or district name, in English or Korean. Examples: Gangnam-gu, Suwon, 해운대

## `openedAfter` (type: `string`):

YYYY-MM-DD. Default: 30 days ago. Up to 365 days back.

## `openedBefore` (type: `string`):

YYYY-MM-DD. Leave empty to include the latest licences (some are dated a few days ahead).

## `includeClosed` (type: `boolean`):

By default only businesses still open are returned.

## `maxResults` (type: `integer`):

You pay per returned business. Newest first.

## Actor input object example

```json
{
  "businessTypes": [
    "restaurant",
    "cafe"
  ],
  "includeClosed": false,
  "maxResults": 100
}
```

# Actor output Schema

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

Newly opened businesses matching your filters

# 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 = {
    "businessTypes": [
        "restaurant",
        "cafe"
    ],
    "maxResults": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("korea-b2b-data/korea-new-business-openings").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 = {
    "businessTypes": [
        "restaurant",
        "cafe",
    ],
    "maxResults": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("korea-b2b-data/korea-new-business-openings").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 '{
  "businessTypes": [
    "restaurant",
    "cafe"
  ],
  "maxResults": 100
}' |
apify call korea-b2b-data/korea-new-business-openings --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,korea-b2b-data/korea-new-business-openings"
        }
    }
}
```

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/Ot9HpwuwjWXoBXSpJ/builds/ZY23K9FEDLRgbYGHX/openapi.json