n8n-nodes-naver-news-scraper

This is an n8n community node that lets you scrape news articles from Naver News (네이버 뉴스) — Korea's most-visited news aggregator — directly in your n8n workflows.

Powered by Apify, this node extracts Korean news data including full article text, press metadata, and trending topics from 1,000+ Korean news outlets.

n8n is a fair-code licensed workflow automation platform.

Features

• 🔍 Search by keyword — Find articles about any topic (e.g., "삼성전자", "BTS", "AI")
• 📰 Browse by section — Politics, Economy, Society, Culture, World, Science/IT
• 🏆 Popular/Ranking news — Get currently trending articles
• 📄 Article detail — Fetch full text from specific article URLs
• ⏰ Time filters — Last hour, day, week, month, or custom date ranges
• 🔀 Sort options — By relevance, newest, or oldest
• 🤖 AI-ready — Use as a tool in n8n AI Agent workflows

Installation

Community Nodes (Recommended)

1. Go to Settings > Community Nodes in your n8n instance
2. Select Install
3. Enter n8n-nodes-naver-news-scraper
4. Agree to the risks and select Install

Manual Installation

cd ~/.n8n/nodes
npm install n8n-nodes-naver-news-scraper

Authentication

You need an Apify API token to use this node.

1. Create a free Apify account
2. Go to Settings > Integrations to get your API token
3. In n8n, create new credentials of type Apify API and paste your token

Usage Examples

Monitor Korean Tech News → Slack

Search for Samsung/LG/SK news every hour and send summaries to Slack:

1. Schedule Trigger → runs every hour
2. Naver News Scraper → keyword: "삼성전자 OR LG OR SK하이닉스", period: "1h"
3. Slack → post article titles and URLs

Korean News Sentiment Analysis

Collect news articles with full text for AI analysis:

1. Naver News Scraper → keyword: "한국 경제", fetchDetails: true
2. AI Agent → analyze sentiment of article bodies
3. Google Sheets → log results

Daily News Digest

Get top news from each section for a daily briefing:

1. Schedule Trigger → runs daily at 9 AM
2. Naver News Scraper → mode: "ranking", maxResults: 10
3. Email → send formatted digest

Modes

Output

Each article includes:

• title — Article headline
• link — Direct URL to the article
• press — Publisher name
• pressLogo — Publisher logo URL
• date — Publication date
• summary — Article snippet
• body — Full article text (when fetchDetails is enabled)
• category — News category
• reactions — Reader reactions data

Part of Korean Data Collection

This node is part of the Korean Data suite of Apify Actors for n8n:

Resources

• Apify Actor page
• n8n community nodes documentation
• Apify n8n integration guide

License

MIT