# Naver News Scraper - 저가 Low-cost💲🔥📰🇰🇷 (`delectable_incubator/naver-news-scraper-jeoga-low-cost`) Actor

📰 Easily scrape Naver News results by keyword. Extract article titles, URLs, News URLs, descriptions, publishers, publication dates, thumbnails, source domains, rankings, related articles, timestamps & more. Perfect for news monitoring, Korean media intelligence, trend tracking & AI datasets

- **URL**: https://apify.com/delectable\_incubator/naver-news-scraper-jeoga-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** News, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

<p align="center">
  <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="Naver News Search Scraper" width="100%">
</p>

***

## 📰🇰🇷 Naver News Search Scraper | Bulk News Keyword Scraper | Naver News Search | Apify Actor

### 🚀 Extract Naver News Search Results in Seconds (No Code)

The **Naver News Search Scraper (Apify Actor)** is a powerful, scalable and SEO-optimized scraping solution designed to extract public **Naver News Search results** using **bulk keywords**.

Collect structured news datasets including article titles, original article URLs, Naver News URLs, publishers, source URLs, publication dates, descriptions, thumbnails, domains, rankings, related article indicators, sorting mode, search timestamps, and more.

Perfect for **news monitoring, Korean media intelligence, SEO research, competitor analysis, brand monitoring, AI datasets, trend analysis, market research and content discovery.**

***

## 🔥 Why This Naver News Search Scraper?

✔ Best Naver News Scraper on Apify

✔ Supports Bulk Keyword Scraping

✔ Sort by Relevance or Latest News

✔ Automatic Pagination

✔ Fast & Scalable Extraction

✔ Structured JSON / CSV / Excel Output

✔ Perfect for News Intelligence & AI Datasets

✔ No Coding Required

***

## 📰🇰🇷 네이버 뉴스 검색 스크래퍼 | 대량 뉴스 키워드 스크래퍼 | Naver News Search Scraper | Apify Actor

### 🚀 몇 초 만에 네이버 뉴스 검색 결과를 수집하세요 (코딩 불필요)

\*\*네이버 뉴스 검색 스크래퍼 (Apify Actor)\*\*는 \*\*여러 개의 키워드(Bulk Keywords)\*\*를 사용하여 **네이버 뉴스 검색(Naver News Search)** 결과를 빠르고 안정적으로 수집할 수 있는 강력한 자동화 스크래퍼입니다.

뉴스 기사 제목, 원본 기사 URL, 네이버 뉴스 URL, 언론사(Publisher), 출처(Source URL), 게시일(Publication Date), 기사 요약(Description), 썸네일(Thumbnail), 도메인(Domain), 검색 순위(Ranking), 관련 기사 여부(Related Articles), 정렬 방식(Sorting Mode), 검색 시간(Search Timestamp) 등 다양한 구조화된 데이터를 추출할 수 있습니다.

**뉴스 모니터링(News Monitoring), 한국 언론 분석(Korean Media Intelligence), SEO 분석(SEO Research), SERP 분석(Search Engine Results), 브랜드 모니터링(Brand Monitoring), 경쟁사 분석(Competitor Analysis), 시장 조사(Market Research), 트렌드 분석(Trend Analysis), 콘텐츠 리서치(Content Discovery), AI 데이터셋(AI Datasets), 머신러닝(Machine Learning), 데이터 마이닝(Data Mining), NLP 연구, 미디어 모니터링(Media Monitoring)** 등에 최적화되어 있습니다.

***

#### 🔑 SEO Keywords

**한국어 키워드:**

네이버 뉴스 스크래퍼, 네이버 뉴스 검색, 뉴스 검색 스크래퍼, 뉴스 크롤러, 뉴스 데이터 수집, 기사 크롤링, 한국 뉴스, 뉴스 모니터링, 언론 분석, 브랜드 모니터링, 검색 결과 스크래핑, SEO 분석, SERP 분석, 경쟁사 분석, 시장 조사, 트렌드 분석, 콘텐츠 분석, AI 데이터셋, 데이터 마이닝

**English Keywords:**

Naver News Scraper, Naver News Search, News Search Scraper, Korean News Scraper, News Crawler, News Data Extraction, News Monitoring, Media Intelligence, SEO Research, SERP Scraper, Search Results Scraper, Brand Monitoring, Competitor Analysis, Market Research, Trend Analysis, Content Discovery, AI Datasets, Data Mining, NLP, Apify Actor

***

## 🎯 What This Scraper Does

This Apify Actor extracts public news search results directly from **Naver News Search**.

#### 📌 Core Features

✅ Scrape Naver News by Keyword

✅ Bulk Keyword Scraping

✅ Search Hundreds of Keywords

✅ Sort by Relevance or Date

✅ Automatic Pagination

✅ Extract News Titles

✅ Extract Original Article URLs

✅ Extract Naver News URLs

✅ Extract News Descriptions

✅ Extract Publishers

✅ Extract Publisher Profile URLs

✅ Extract Publication Dates

✅ Extract Thumbnails

✅ Extract Source Domains

✅ Extract Ranking Position

✅ Detect Related Articles

✅ Save Sort Type

✅ Save Search Keyword

✅ Save Search Timestamp

✅ High-Speed Cloud Scraping

✅ Clean Structured Datasets

***

## ⚡ Input Configuration (Simple & Powerful)

### 🔥 BULK KEYWORD MODE (SEO BOOST 🚀)

```
{
  "keywords": [
    "artificial intelligence",
    "cryptocurrency",
    "K-pop",
    "Samsung",
    "electric vehicles",
    "Korea economy",
    "renewable energy",
    "startup funding",
    "cybersecurity",
    "climate change"
  ],
  "sortType": "relevance",
  "maxItemsPerKeyword": 100
}
```

Simply add hundreds of keywords.

Each keyword returns up to **maxItemsPerKeyword** news results.

***

## 📊 Extracted News Data

| Field | Description |
|--------|-------------|
| keyword | Search keyword |
| position | News ranking position |
| title | Article title |
| url | Original article URL |
| naverNewsUrl | Naver News article URL |
| thumbnailUrl | News thumbnail |
| source | Publisher |
| sourceUrl | Publisher profile/page |
| publishedText | Publication date/time |
| description | Article description |
| domain | Publisher domain |
| isRelated | Related article indicator |
| sortType | Search sort mode |
| searchTimestamp | Date & time of extraction |

***

## 💡 Use Cases

Perfect for:

📰 News Monitoring

🇰🇷 Korean Media Intelligence

📊 Brand Monitoring

📈 Trend Analysis

🏢 Competitor Research

🤖 AI Training Datasets

📢 PR Monitoring

🌍 Market Research

🔍 Content Discovery

💼 Business Intelligence

***

## 🚀 Key Features

⚡ Bulk Keyword Support

📰 Naver News Search Scraping

🇰🇷 Korean Search Intelligence

📅 Relevance & Date Sorting

📌 Automatic Pagination

🧠 Structured Output

📊 High-Speed Extraction

🔁 Reliable Cloud Execution

💾 Export-Ready Datasets

⚙️ Enterprise-Ready Apify Actor

***

## 📤 Export Formats

✔ JSON

✔ CSV

✔ Excel (XLSX)

✔ XML

✔ HTML

✔ RSS

***

## 📦 Example Output

```
{
  "keyword": "artificial intelligence",
  "position": 1,
  "title": "Artificial Intelligence Transforms Korean Industries",
  "url": "https://example.com/news/ai",
  "naverNewsUrl": "https://n.news.naver.com/article/123/456789",
  "thumbnailUrl": "https://example.com/image.jpg",
  "source": "Yonhap News",
  "sourceUrl": "https://media.naver.com/yonhap",
  "publishedText": "2 hours ago",
  "description": "Latest developments in artificial intelligence across South Korea.",
  "domain": "yna.co.kr",
  "isRelated": false,
  "sortType": "relevance",
  "searchTimestamp": "2026-07-27T10:15:42Z"
}
```

***

## 🔥 Why This is the BEST Naver News Search Scraper on Apify?

✔ Optimized for Apify Search Ranking

✔ High-performance extraction engine

✔ Bulk keyword support

✔ Relevance & latest sorting

✔ Automatic pagination

✔ Original & Naver News URL extraction

✔ Publisher & publication metadata

✔ Clean structured datasets

✔ Enterprise-ready scalability

✔ Built for SEO, media intelligence and AI workflows

***

## 💸 Pricing

This scraper runs on a **pay-per-result** pricing model.

You only pay for successfully extracted records.

💳 **Price: $0.45 / 1,000 results**

***

## ❓ FAQ

#### Can I scrape multiple keywords at once?

Yes.

Bulk keyword mode is fully supported.

***

#### Can I sort news results?

Yes.

Choose between:

- Relevance
- Latest News

***

#### Can I scrape thousands of news articles?

Yes.

Simply increase the **maxItemsPerKeyword** value.

***

#### Which information is extracted?

The scraper extracts titles, original article URLs, Naver News URLs, publishers, publisher links, publication dates, descriptions, thumbnails, domains, related article indicators, rankings and search timestamps.

***

#### Is pagination supported?

Yes.

The scraper automatically collects results until the requested limit is reached.

***

#### Is coding required?

No.

Everything runs directly on Apify.

***

#### Can I export the data?

Yes.

Supports JSON, CSV, Excel, XML, HTML and RSS.

***

## ⚠️ Disclaimer

This tool is an independent data extraction solution and is **not affiliated with Naver or Naver News.**

Users are responsible for complying with Naver's Terms of Service and all applicable laws.

***

## 🔗 Related Actors

We are building the complete **PrimeScrape Search Intelligence Suite.**

More premium Google News, Bing News, Yahoo News, Naver News, Brave News and global news intelligence scrapers are coming soon.

🚀 Stay tuned.

***

## 🌍 PrimeScrape Ecosystem

Built for large-scale data extraction, automation, AI datasets and business intelligence.

📰 News Intelligence

🇰🇷 Korean Search Intelligence

📊 Media Analytics

📈 Trend Monitoring

🏢 Competitor Intelligence

🤖 AI Training Datasets

📢 Brand Monitoring

⚙️ Automation Pipelines

🌐 Public Data Extraction

***

## 📬 Support

⭐⭐⭐⭐⭐

If this scraper saves you time, please leave a review.

For enterprise scraping solutions, custom Apify Actors or large-scale scraping projects, feel free to contact **PrimeScrape**.

# Actor input Schema

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

Bulk list of keywords (검색어) to search on Naver News Search. Each keyword is scraped separately within the same run.

## `sortType` (type: `string`):

How Naver should order results.

## `maxItemsPerKeyword` (type: `integer`):

Maximum number of news article results to extract for each keyword.

## Actor input object example

```json
{
  "keywords": [
    "AI"
  ],
  "sortType": "relevance",
  "maxItemsPerKeyword": 50
}
```

# Actor output Schema

## `overview` (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": [
        "AI"
    ],
    "sortType": "relevance",
    "maxItemsPerKeyword": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/naver-news-scraper-jeoga-low-cost").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": ["AI"],
    "sortType": "relevance",
    "maxItemsPerKeyword": 50,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/naver-news-scraper-jeoga-low-cost").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 '{
  "keywords": [
    "AI"
  ],
  "sortType": "relevance",
  "maxItemsPerKeyword": 50
}' |
apify call delectable_incubator/naver-news-scraper-jeoga-low-cost --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/G4zQChruVlgdvaadV/builds/VaukUwMGEHIVvIoLy/openapi.json