# Naver Map Autocomplete API (`battery/naver-smartplace-autocomplete`) Actor

Get Naver Map instant-search place candidates and place IDs for a Korean query.

- **URL**: https://apify.com/battery/naver-smartplace-autocomplete.md
- **Developed by:** [Battery](https://apify.com/battery) (community)
- **Categories:** Business, SEO tools, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 autocomplete queries

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/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 Autocomplete API

Get Naver Map instant-search place candidates and place IDs for a Korean query.

### What does this Actor do?

The Actor sends one query to Naver Map's instant-search endpoint and returns
the place candidates in the public response.

### What data does it return?

- Original query and candidate count
- Naver place ID and title
- Additional fields present in Naver's instant-search place objects

### Input

```json
{
  "query": "강남역 맛집"
}
```

| Field | Required | Description |
| --- | --- | --- |
| `query` | Yes | Business name or local-search query, up to 100 characters. |
| `failOnError` | No | Fail the run on a crawler server error. |

### Output example

```json
{
  "id": "1234567890",
  "title": "Example Restaurant",
  "query": "강남역 맛집",
  "count": 3,
  "source": "naver_map_instant_search",
  "fallbackApplied": false,
  "proxyUsed": true,
  "success": true,
  "httpStatus": 200
}
```

### Pricing and limits

- Price: **$0.0015 per query**
- Billing event: one successful instant-search query
- Actor compute and the KR Residential proxy are included in the event price.
- The endpoint uses a fixed Seoul-area coordinate and does not accept a custom
  location.
- Candidate fields vary with Naver's response.

### Troubleshooting

- No candidates: add a district or use the full business name.
- Need a broader ranked list: use
  [Naver Map Search](https://apify.com/battery/naver-smartplace-search).
- Need full details for one ID: use
  [Naver Place Detail](https://apify.com/battery/naver-smartplace-detail).

### Disclaimer

This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Naver.

# Actor input Schema

## `query` (type: `string`):

Search query.

## `failOnError` (type: `boolean`):

Fail on crawler error.

## Actor input object example

```json
{
  "query": "강남역 맛집",
  "failOnError": true
}
```

# Actor output Schema

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

No description

## `output` (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 = {
    "query": "강남역 맛집"
};

// Run the Actor and wait for it to finish
const run = await client.actor("battery/naver-smartplace-autocomplete").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 = { "query": "강남역 맛집" }

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

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

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

```

## CLI example

```bash
echo '{
  "query": "강남역 맛집"
}' |
apify call battery/naver-smartplace-autocomplete --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=battery/naver-smartplace-autocomplete",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/4pmrJ5tjScMAYGNQw/builds/w9p2QZhWAOB0Zo5Fg/openapi.json