# Naver Search Autocomplete Scraper (`battery/naver-autocomplete`) Actor

Get Naver autocomplete suggestions for one or more search queries.

- **URL**: https://apify.com/battery/naver-autocomplete.md
- **Developed by:** [Battery](https://apify.com/battery) (community)
- **Categories:** SEO tools, Marketing
- **Stats:** 2 total users, 1 monthly users, 92.9% 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 Search Autocomplete Scraper

Get Naver autocomplete suggestions for one or more search queries.

### What does this Actor do?

Submit one query or a batch of queries. The Actor requests Naver's public
autocomplete endpoint and creates one Dataset row per returned suggestion.
Billing remains per unique query, not per suggestion row.

### What data does it return?

- Original query
- One suggestion per row with `keyword`, `type`, `intend`, and `transQuery`
- Original query, suggestion rank, and scrape time
- An explicit error item when a query fails and `failOnError` is disabled

### Input

```json
{
  "queries": ["제주도 여행", "부산 맛집"],
  "requestTimeoutSeconds": 10,
  "failOnError": true
}
```

| Field | Required | Default | Description |
| --- | --- | --- | --- |
| `query` | Conditional | - | One search query. |
| `queries` | Conditional | `[]` | Batch of search queries. |
| `requestTimeoutSeconds` | No | `10` | Timeout per request, from 5 to 60 seconds. |
| `failOnError` | No | `true` | Stop the batch on the first failed query. Set `false` only to store per-query errors and keep the run successful. |

Provide `query`, `queries`, or both. Blank and duplicate values are removed.

### Output example

```json
{
  "status": "ok",
  "query": "제주도 여행",
  "rank": 1,
  "keyword": "제주도 여행 코스",
  "type": "0",
  "intend": null,
  "transQuery": null,
  "scrapedAt": "2026-07-16T00:00:00+00:00"
}
```

### Pricing and limits

- Price: **$0.003 per query**
- Billing event: one successful unique query
- Actor compute and the KR Residential proxy are included in the event price.
- Autocomplete does not return search volume or advertising competition.

### Troubleshooting

- `Provide query...`: add a non-empty value to `query` or `queries`.
- Empty suggestions: Naver returned no suggestions for that exact seed.
- Batch stops early: set `failOnError` to `false` to store errors per query.

### Disclaimer

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

# Actor input Schema

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

A single Korean or English search query.

## `queries` (type: `array`):

Optional batch of search queries. Duplicate values are removed.

## `requestTimeoutSeconds` (type: `integer`):

Timeout for each request in seconds.

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

Stop the run when a query fails. Otherwise an error item is stored.

## Actor input object example

```json
{
  "query": "제주도 여행",
  "queries": [],
  "requestTimeoutSeconds": 10,
  "failOnError": true
}
```

# Actor output Schema

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

No description

## `summary` (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": "제주도 여행"
};

// Run the Actor and wait for it to finish
const run = await client.actor("battery/naver-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": "제주도 여행" }

# Run the Actor and wait for it to finish
run = client.actor("battery/naver-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": "제주도 여행"
}' |
apify call battery/naver-autocomplete --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/jCSkjUPmc8WfBTCpM/builds/NElv3hMI1bSLo7dA3/openapi.json