# Naver Search Scraper (`searchapi/naver-search-scraper`) Actor

Scrapes Naver Search (universal: web + news + blog + cafe) for any query. Extracts the full canonical search-vertical schema: title, URL, snippet, source, section, dates, thumbnail, language, ad/sponsored flags, and more.

- **URL**: https://apify.com/searchapi/naver-search-scraper.md
- **Developed by:** [Search API](https://apify.com/searchapi) (community)
- **Categories:** Developer tools, SEO tools, News
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / 1,000 naver search scraper results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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 Scraper

Scrapes Naver Search (universal: web + news + blog + cafe) for any query. Extracts the full canonical search-vertical schema: title, URL, snippet, source, section, dates, thumbnail, language, ad/sponsored flags, and more.

### What this Actor collects

The Actor converts structured search results into clean JSON records that can be downloaded, queried through the Apify API, or sent to downstream workflows.

- Uses the input limits and filters below to control the crawl.
- Stores source-backed fields defined by the 38-field dataset schema.
- Omits optional fields when the source does not expose a value instead of writing nulls or fabricated placeholders.

### Use cases

- Search and competitor research
- Ranking and visibility monitoring
- Dataset and workflow enrichment

### Input

Provide input in JSON. Fields marked required must be supplied; source-specific alternatives and constraints are described in the field text.

| Field | Type | Required | Default | Description |
| --- | --- | :---: | --- | --- |
| `query` | string | Yes | `"인공지능"` | The search term to look up on Naver |
| `maxItems` | integer | No | `50` | Maximum number of search results to scrape |
| `proxyConfiguration` | object | No | — | Proxy settings for the scraper |

#### Example input

```json
{
  "query": "삼성전자",
  "maxItems": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

### Output

The default dataset contains one item per result from Naver's universal search sections. The following are the most useful fields; availability can vary by result type and source response.

| Field | Type | Description |
| --- | --- | --- |
| `position` | integer | Position |
| `section` | string | Section |
| `title` | string | Title |
| `source` | string | Source |
| `snippet` | string | Snippet |
| `date` | string | Date |
| `searchQuery` | string | Search Query |
| `scrapedAt` | string | Scraped At |
| `type` | string | Type |
| `description` | string | Description |
| `url` | string | URL |
| `link` | string | Link |
| `query` | string | Query |
| `resultType` | string | Result Type |
| `page` | integer | Page |
| `titleHtml` | string | Title HTML |

<details>
<summary>All 38 declared dataset fields</summary>

`position`, `section`, `title`, `source`, `snippet`, `date`, `searchQuery`, `scrapedAt`, `type`, `resultType`
`page`, `titleHtml`, `url`, `link`, `displayUrl`, `domain`, `host`, `favicon`, `snippetHtml`, `description`
`sourceUrl`, `sourceLogo`, `publishedAt`, `publishedAtRaw`, `relativeTime`, `thumbnail`, `imageUrl`, `images`, `sectionType`, `category`
`tags`, `language`, `isAd`, `isSponsored`, `searchUrl`, `searchMetadata`, `query`, `country`

</details>

#### Example dataset item

This compact example is taken from local Actor storage. Long text and nested collections are shortened for documentation only.

```json
{
  "position": 1,
  "title": "삼성전자",
  "source": "Samsung",
  "snippet": "갤럭시, TV, PC, 가전, 액세서리, 소모품 제품정보, 온라인 스토어 제품판매, 고객지원 정보 제공.",
  "scrapedAt": "2026-07-23T12:18:02.968Z",
  "link": "https://www.samsung.com/",
  "query": "삼성전자",
  "titleHtml": "<b>삼성전자</b>",
  "snippetHtml": "갤럭시, TV, PC, 가전, 액세서리, 소모품 제품정보, 온라인 스토어 제품판매, 고객지원 정보 제공.",
  "displayUrl": "www.samsung.com",
  "isAd": false,
  "isSponsored": false
}
```

### Related Actors

- [Naver Blog Search Scraper](https://apify.com/searchapi/naver-blog-search-scraper)
- [Naver Cafe Search Results Scraper](https://apify.com/searchapi/naver-cafe-search-scraper)
- [Naver DataLab Trends Scraper](https://apify.com/searchapi/naver-datalab-trends-scraper)

# Actor input Schema

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

The search term to look up on Naver

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

Maximum number of search results to scrape

## `proxyConfiguration` (type: `object`):

Proxy settings for the scraper

## Actor input object example

```json
{
  "query": "인공지능",
  "maxItems": 50
}
```

# Actor output Schema

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

Canonical dataset schema for naver-search-scraper

# 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": "인공지능"
};

// Run the Actor and wait for it to finish
const run = await client.actor("searchapi/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": "인공지능" }

# Run the Actor and wait for it to finish
run = client.actor("searchapi/naver-search-scraper").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": "인공지능"
}' |
apify call searchapi/naver-search-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/WIe6Sgds0Lw1csjle/builds/xRpeAXb82xI9LqPvq/openapi.json