# Naver Search Scraper (blog, news, suggestions) (`googlik/naver-search-scraper`) Actor

Naver public search without login: blog-tab and news results (title, URL, age) plus keyword suggestions for any Korean or English query. No user data.

- **URL**: https://apify.com/googlik/naver-search-scraper.md
- **Developed by:** [Artem Sharipov](https://apify.com/googlik) (community)
- **Categories:** SEO tools
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 result returneds

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

## Naver Search Scraper

Reads Naver's public search pages and autocomplete (what an anonymous visitor sees) and returns one row per result.
Use it for Korean keyword research, SEO, news monitoring and market research.

### What you get

`type` (blog / news / suggest), `rank`, `title`, `url`, `age` (relative age, news only). Snippets, authors and blog
profiles are intentionally not collected.

### Limits (honest)

- Public search pages and autocomplete only. Naver Shopping, Maps and Cafe are protected (HTTP 418 or login) and are not bypassed.
- About 10-15 rows per type per page; deeper pages may return nothing. The "blog" tab can also contain web results.
- Plain HTTP from Apify datacenter IPs, no proxy. On any non-200 answer the run stops and writes it to the `ERRORS` record.
- HTML structure changes can break parsing; check the Issues tab.

### Pricing

Pay per result: $3.00 per 1,000 rows (event `result`). Failed runs without data are not charged.

### Input

`query`, `modes`, `maxPages`, `maxItems`, `delaySeconds`.

### Legal / privacy note

- Only publicly visible result data is collected. No logins, no private APIs.
- **No personal data**: author names, blog profiles, phone numbers and e-mails are never collected; free-text
  descriptions are not collected either.
- No proxies, CAPTCHA solving or other anti-bot circumvention. If the site blocks the request, the run reports
  the error (key-value store record `ERRORS`) and stops instead of retrying aggressively.
- Requests are rate-limited (min. 2 s between requests). You are responsible for using the data lawfully
  (database rights, GDPR, site terms). This actor is not affiliated with the site.

# Actor input Schema

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

Keyword as typed in the Naver search box (Korean or English).

## `modes` (type: `array`):

blog = Naver blog tab, news = Naver news tab, suggest = autocomplete suggestions.

## `maxPages` (type: `integer`):

Result pages per type (about 10-15 rows each, deeper pages may return nothing).

## `maxItems` (type: `integer`):

Upper bound of rows (you are charged per result).

## `delaySeconds` (type: `integer`):

Politeness delay, minimum 2.

## Actor input object example

```json
{
  "query": "파이썬",
  "modes": [
    "blog",
    "news",
    "suggest"
  ],
  "maxPages": 2,
  "maxItems": 50,
  "delaySeconds": 2
}
```

# Actor output Schema

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

Dataset items (one row per result)

# 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": "파이썬",
    "modes": [
        "blog",
        "news",
        "suggest"
    ],
    "maxPages": 2,
    "maxItems": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("googlik/naver-search-scraper").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": "파이썬",
    "modes": [
        "blog",
        "news",
        "suggest",
    ],
    "maxPages": 2,
    "maxItems": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("googlik/naver-search-scraper").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 '{
  "query": "파이썬",
  "modes": [
    "blog",
    "news",
    "suggest"
  ],
  "maxPages": 2,
  "maxItems": 50
}' |
apify call googlik/naver-search-scraper --silent --output-dataset

```

## MCP server setup

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

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/3s3Sy7d0bI8YvveyC/builds/zu1yNHPdMOUt2jyhV/openapi.json