Naver Shopping Scraper

🛒 Naver Shopping Scraper

Search Naver Shopping (네이버쇼핑), Korea's largest shopping search, by keyword and export every product's price, discount, seller, star rating, review and purchase counts, delivery fee and category. One keyword returns up to a few thousand distinct products, 1,000 of them in about 30 seconds. No Naver account, cookies or API key needed.

✨ Why use Naver Shopping Scraper?

• ⚡ Fast — a small run finishes in about 10 seconds, and 1,000 products for one keyword take about 30 seconds in our tests.
• 📦 Deep results — goes beyond the first page by walking Naver's own manufacturer, brand and specification filters, so a broad keyword such as 라면 gave over 6,000 distinct products in one run.
• 🇰🇷 Korean marketplace data — both price-comparison catalogue listings and single-store (SmartStore, brand store) products, flagged by listingType.
• 🧹 Clean, organic results — sponsored placements are left out unless you ask for them, and duplicates are removed across all keywords in a run.
• 🔓 No login — public search results only, nothing to register.
• 💸 Cheap — $2.00 per 1,000 products.

🎯 Use cases

• 💰 Price monitoring — track the selling price, discount and delivery fee of products in your category every day.
• 🏪 Competitor and seller research — see which shops rank for a keyword, their grade, review counts and purchase counts.
• 📈 Market sizing — collect thousands of products per keyword and compare brands, manufacturers and price bands.
• 🛍️ Catalogue building — gather product names, images, category IDs and links for a product database.
• 🔎 Keyword rank tracking — record each product's position (searchRank) for your target keywords.

🚀 How to use

1. Type one or more search keywords (Korean keywords return the most products, for example 노트북 or 무선이어폰). You can also paste a Naver Shopping search link.
2. Set Max products per keyword.
3. Optionally add a price range, manufacturer, brand, category, minimum reviews or minimum rating.
4. Click Start and download the results as JSON, CSV, Excel or HTML, or read them through the API.

📥 Input

{
  "keywords": ["노트북", "무선이어폰"],
  "maxProductsPerKeyword": 500,
  "minPrice": 300000,
  "maxPrice": 1500000
}

📤 Output

{
  "nvMid": 52631236642,
  "productName": "삼성전자 갤럭시북4 노트북 NT750XGR-A51A 39.6cm(15.6인치) i5 16GB, 256GB",
  "listingType": "CATALOG",
  "isAd": false,
  "keyword": "노트북",
  "searchRank": 2,
  "naverRank": 1,
  "filterView": null,
  "catalogId": 52631236642,
  "channelProductId": null,
  "originalMallProductId": null,
  "channelNo": null,
  "merchantNo": null,
  "productPageUrl": "https://search.shopping.naver.com/catalog/52631236642",
  "productUrl": {
    "pcUrl": null,
    "mobileUrl": null
  },
  "productClickUrl": "https://cr3.shopping.naver.com/v2/bridge/searchGate?nv_mid=52631236642&cat_id=50000151&que...",
  "imageUrl": "https://shopping-phinf.pstatic.net/main_5263123/52631236642.20250124094900.jpg",
  "images": [
    "https://shopping-phinf.pstatic.net/main_5263123/52631236642.20250124094900.jpg"
  ],
  "salePrice": null,
  "discountedSalePrice": 1279840,
  "discountedRatio": 0,
  "lowestPrice": 1279840,
  "priceCurrency": "KRW",
  "deliveryFee": 0,
  "freeDelivery": true,
  "deliveryFeeTypes": [
    "CATALOG_INCLUDED_FREE",
    "CATALOG_NOT_INCLUDED_FREE"
  ],
  "fastDeliveryType": "NONE",
  "arrivalGuarantee": null,
  "arrivalDatetime": null,
  "averageReviewScore": 4.91,
  "totalReviewCount": 21169,
  "purchaseCount": 0,
  "keepCount": 634,
  "sellerCount": 164,
  "purchaseOptions": [
    {
      "id": "52631236642",
      "name": "256GB",
      "lowestPrice": 1279840
    },
    {
      "id": "52631236643",
      "name": "512GB",
      "lowestPrice": 1348770
    }
  ],
  "mallName": null,
  "mallId": null,
  "mallSeq": null,
  "mallGrade": null,
  "mallUrl": null,
  "isIndividualSeller": false,
  "isBrandStore": true,
  "isSmartStoreProduct": false,
  "isOverseaProduct": false,
  "isNewProduct": false,
  "isHotDeal": false,
  "isAdultItem": false,
  "isMembershipFreeDelivery": false,
  "membershipPointRatio": 0,
  "promotionTypes": [],
  "deliveryFilters": [
    "512"
  ],
  "productType": "NORMAL",
  "goodsType": "DEFAULT",
  "saleType": "0",
  "isCustomsDutySeparate": false,
  "lCatId": "50000003",
  "mCatId": "50000151",
  "sCatId": null,
  "ssCatId": null,
  "leafCategoryId": "50000151",
  "scrapedAt": "2026-10-14T17:57:33+00:00"
}

💰 Pricing

You pay $2.00 per 1,000 products ($0.002 per product saved). Platform usage (compute and datacenter proxy traffic) is billed on top and is small: a 1,000-product run uses about 30 seconds of compute at 512 MB and well under 1 MB of billed proxy traffic, about $0.002 in total.

Example: 1,000 products ≈ $2.00 plus a few cents of usage.

❓ FAQ

Is it legal to scrape Naver Shopping? The actor reads only public search results that anyone can see without logging in. You are responsible for how you use the data and for complying with Naver's terms and applicable law.

Do I need a Naver account, cookies or a proxy? No account or cookies. The default datacenter proxy works and is the cheapest option.

How many products can I get per keyword? Naver's search shows about 60 products in its main ranking; the actor then walks Naver's own filters to reach more. Broad keywords gave 1,500 to about 6,700 distinct products in our tests, narrow ones fewer. When a keyword runs out, the run says how many it found.

Why is a field empty? Not every listing has every field: catalogue listings have no single seller, store listings have no seller count, and Naver leaves deeper category levels empty for some products.

What happens when two keywords find the same product? It is saved once, under the first keyword that found it.

Can I schedule it or use the API? Yes. Schedule daily runs for price tracking and fetch results through the API or integrations.

⚠️ Limits

• Results come from Naver's search ranking and filter views, not the full shopping site listing, so sorting by price, newest or best-selling is not offered, and the order after the first ~60 products follows Naver's filter views.
• Price, category, rating and review filters are applied to the products the search returns, so narrow filters can return fewer products.
• Product detail pages (full specification tables, every seller's offer, price history, reviews) are not included: this actor covers search results.
• Product links and category links are not accepted as input; use keywords or search links.