📊 Naver DataLab Shopping Insight

Collect shopping trend data from Naver DataLab — Korea's #1 e-commerce intelligence platform. Powered by the official Naver API for maximum reliability and speed.

No scraping, no proxies needed. This Actor uses Naver's official DataLab API, so it's fast, reliable, and fully compliant with Naver's terms of service.

✨ What does this Actor do?

This Actor connects to Naver DataLab Shopping Insight API to extract:

• 📈 Category Trend Analysis — Track click volume trends for any Naver Shopping category
• 🔍 Keyword Trend Analysis — Monitor keyword popularity within shopping categories
• 📱 Device Breakdown — PC vs Mobile shopping behavior
• 👫 Gender Breakdown — Male vs Female shopping patterns
• 👶👴 Age Group Breakdown — Shopping trends by age (10s through 60+)
• 🏆 Popular Keywords Top 500 — Get trending keyword rankings per category (no API key needed!)
• 🔬 Full Analysis Mode — Run all analyses in one go

🎯 Who is this for?

User	Use Case
E-commerce sellers	Find trending products, validate niche ideas
SEO agencies	Korean market keyword research for clients
Global brands	Korea market entry research & trend monitoring
AI agents (MCP)	Automated Korean shopping trend intelligence
Data analysts	Time-series shopping data for forecasting

🆓 How to get Naver API credentials (FREE)

1. Go to developers.naver.com
2. Log in with your Naver account (create one if needed)
3. Click Application → Register
4. Select "데이터랩 (쇼핑인사이트)" / DataLab (Shopping Insight)
5. Enter http://localhost as the Web Service URL
6. Copy your Client ID and Client Secret

⚡ It's completely free — Naver provides 25,000 API calls/day at no cost!

📖 Input Examples

Example 1: Compare Fashion vs Beauty Trends

{
    "naverClientId": "YOUR_CLIENT_ID",
    "naverClientSecret": "YOUR_SECRET",
    "queryMode": "category",
    "startDate": "2025-01-01",
    "endDate": "2026-03-29",
    "timeUnit": "month",
    "analysisTypes": ["trend", "device", "gender"],
    "categories": [
        {"name": "패션의류", "param": ["50000000"]},
        {"name": "화장품/미용", "param": ["50000002"]}
    ]
}

Example 2: Track Interior/Furniture Keywords

{
    "naverClientId": "YOUR_CLIENT_ID",
    "naverClientSecret": "YOUR_SECRET",
    "queryMode": "keyword",
    "startDate": "2025-01-01",
    "endDate": "2026-03-29",
    "timeUnit": "month",
    "analysisTypes": ["trend", "age", "gender"],
    "keywordCategory": "50000004",
    "keywords": [
        {"name": "인테리어소품", "param": ["인테리어 소품"]},
        {"name": "수납", "param": ["수납"]},
        {"name": "조명", "param": ["조명"]}
    ]
}

Example 3: Full Analysis — K-Beauty Market Intelligence

{
    "naverClientId": "YOUR_CLIENT_ID",
    "naverClientSecret": "YOUR_SECRET",
    "queryMode": "full_analysis",
    "startDate": "2025-01-01",
    "endDate": "2026-03-29",
    "timeUnit": "month",
    "categories": [
        {"name": "화장품/미용", "param": ["50000002"]}
    ],
    "keywordCategory": "50000002",
    "keywords": [
        {"name": "선크림", "param": ["선크림"]},
        {"name": "토너", "param": ["토너"]},
        {"name": "세럼", "param": ["세럼"]}
    ]
}

Example 4: Popular Keywords Top 500 (No API Key Needed!)

{
    "queryMode": "popular_keywords",
    "startDate": "2026-03-01",
    "endDate": "2026-03-29",
    "timeUnit": "month",
    "categories": [
        {"name": "가구/인테리어", "param": ["50000004"]}
    ]
}

Popular Keywords Output

{
    "queryType": "popular_keywords",
    "category": "50000004",
    "categoryName": "가구/인테리어",
    "startDate": "2026-03-01",
    "endDate": "2026-03-29",
    "timeUnit": "month",
    "totalKeywords": 500,
    "keywords": [
        {"rank": 1, "keyword": "커튼", "linkId": "..."},
        {"rank": 2, "keyword": "러그", "linkId": "..."},
        {"rank": 3, "keyword": "침대", "linkId": "..."}
    ]
}

📋 Naver Shopping Category Codes

Category (Korean)	Category (English)	Code
패션의류	Fashion / Clothing	50000000
패션잡화	Fashion Accessories	50000001
화장품/미용	Beauty / Cosmetics	50000002
디지털/가전	Digital / Electronics	50000003
가구/인테리어	Furniture / Interior	50000004
출산/육아	Baby / Parenting	50000005
식품	Food / Grocery	50000006
스포츠/레저	Sports / Leisure	50000007
생활/건강	Living / Health	50000008
여가/생활편의	Lifestyle / Services	50000009
면세점	Duty Free	50000010
도서	Books	50000011

💡 Sub-category codes: Find them from Naver Shopping URLs. Browse to a sub-category on shopping.naver.com and check the cat_id parameter in the URL.

📊 Output Format

Category Trend Output

{
    "queryType": "category_trend",
    "startDate": "2025-01-01",
    "endDate": "2026-03-29",
    "timeUnit": "month",
    "results": [
        {
            "title": "패션의류",
            "category": ["50000000"],
            "data": [
                {"period": "2025-01-01", "ratio": 87.5},
                {"period": "2025-02-01", "ratio": 92.3},
                {"period": "2025-03-01", "ratio": 100.0}
            ]
        }
    ]
}

Device Breakdown Output

{
    "queryType": "category_device",
    "results": [
        {
            "title": "화장품/미용",
            "data": [
                {"period": "2025-01-01", "group": "pc", "ratio": 18.5},
                {"period": "2025-01-01", "group": "mo", "ratio": 81.5}
            ]
        }
    ]
}

💰 Cost

This Actor uses PPE pricing at $0.50 per 1,000 results.

Since it uses Naver's official API (which is free), the only cost is the Apify platform fee. Each API call returns one result set, so a typical full analysis costs less than $0.01.

❓ FAQ

Q: Do I need a Korean Naver account? A: No, any Naver account works. You can sign up at naver.com with an email.

Q: What's the data range? A: Naver DataLab provides data from 2017-08-01 onward.

Q: What does "ratio" mean in the output? A: The ratio is a relative value (0-100) where 100 represents the peak click volume in the selected period. It's not absolute click counts — similar to how Google Trends works.

Q: Can I use sub-categories? A: Yes! Use any valid Naver Shopping cat_id code. Find them by navigating Naver Shopping and checking the URL.

Q: keyword param에 여러 검색어를 넣으면 에러가 나요 A: 네이버 API 제약으로 keyword의 param은 1개만 허용됩니다. 여러 검색어를 비교하려면 keywords 배열에 각각 분리해서 넣으세요.

❌ 잘못된 예: {"name": "수납", "param": ["수납", "정리수납"]}
✅ 올바른 예: {"name": "수납", "param": ["수납"]}, {"name": "정리수납", "param": ["정리수납"]}

Q: Is this MCP/AI agent compatible? A: Yes! Clean JSON output with PPE pricing makes it ideal for AI agent tool calls via Apify MCP at mcp.apify.com.

🔗 Related Actors

• Naver Blog Scraper — Extract blog posts from Naver Blog
• Naver Shopping Product Scraper — Scrape product data from Naver Shopping

📝 Changelog

v1.1.0 (2026-03-29)

• Popular Keywords Top 500 mode (no API key required!)
• Fetches trending keyword rankings from Naver DataLab internal API
• Supports demographic filters (age, gender, device)

v1.0.0 (2026-03-29)

• Initial release
• Category trend analysis (trend, device, gender, age)
• Keyword trend analysis (trend, device, gender, age)
• Full analysis mode
• Official Naver API integration (no proxy needed)