# Naver Keyword Autocomplete Scraper (네이버 자동완성 키워드) (`azet-io/naver-keyword-suggest`) Actor

Naver search autocomplete suggestions for Korean seed keywords, with 20-suffix expansion for long-tail SEO keyword research.

- **URL**: https://apify.com/azet-io/naver-keyword-suggest.md
- **Developed by:** [AZET](https://apify.com/azet-io) (community)
- **Categories:** SEO tools, Lead generation
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

## Naver Keyword Autocomplete Scraper (네이버 자동완성 키워드)

Collect **Naver search autocomplete suggestions** (네이버 자동완성 / 연관 검색어 후보) for Korean seed keywords — the phrases Korean users are actually typing. Optionally expands each seed with 20 suffixes (가…하, 추천·가격·후기·방법·근처·순위) to get 100–200 unique long-tail keywords per seed.

Use it for Korean SEO keyword research, blog/content planning, Naver Place and Smart Store keyword discovery.

### Input

```json
{ "keywords": ["네일샵", "송도 맛집"], "expand": true }
```

### Output (one row per unique suggestion)

| field | meaning |
|---|---|
| seed | your seed keyword |
| suggestion | autocomplete phrase from Naver |
| fromQuery | the query that produced it (seed or seed + suffix) |
| order | order of first appearance |

Search volume is not included (Naver gives volume only through its ads API with your own key).

### Pricing

Free for now. Pay-per-event pricing is planned; it will be announced on this page before it starts.

Made by AZET (azet.io). See also: Naver Place Rank Checker (azet-io/naver-place-rank), Naver Place Search Scraper (azet-io/naver-place-search).

# Actor input Schema

## `keywords` (type: `array`):

Korean seed keywords, e.g. 네일샵

## `expand` (type: `boolean`):

Also query seed + 가/나/다… and seed + 추천/가격/후기/방법/근처/순위 (21 requests per seed).

## Actor input object example

```json
{
  "keywords": [
    "네일샵"
  ],
  "expand": true
}
```

# 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 = {
    "keywords": [
        "네일샵"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("azet-io/naver-keyword-suggest").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 = { "keywords": ["네일샵"] }

# Run the Actor and wait for it to finish
run = client.actor("azet-io/naver-keyword-suggest").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 '{
  "keywords": [
    "네일샵"
  ]
}' |
apify call azet-io/naver-keyword-suggest --silent --output-dataset

```

## MCP server setup

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

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/7bO75aHEJeeBdL0C7/builds/W8DHgKwE6VqfNuh1f/openapi.json