Naver Apify Integration
Pricing
from $2.00 / 1,000 product scrapeds
Naver Apify Integration
Scrape product details, prices, coupons, and vendor info from Naver.
Pricing
from $2.00 / 1,000 product scrapeds
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Developer
GroupBWT LLC
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2
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1
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2 days ago
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Naver Smartstore Scraper
Scrapes product, price, coupon, and vendor data from Naver Smartstore via API. Supports parallel processing with configurable concurrency.
Modes
| Mode | Description |
|---|---|
product | Full product details: name, price, category, images, reviews, delivery info |
price | Current price, base price, and discount amount |
coupons | Available benefits, coupon discounts, and loyalty points |
vendor | Seller details: name, address, contact, ratings, business info |
Input
{"urls": ["https://smartstore.naver.com/{merchan_name}/products/{product_id}","https://brand.naver.com/{merchan_name}/products/{product_id}"],"mode": "product"}
only smartstore domain for vendors
{"urls": ["https://smartstore.naver.com/{merchan_name1}","https://smartstore.naver.com/{merchan_name2}"],"mode": "vendor"}
| Field | Type | Required | Description |
|---|---|---|---|
urls | array | Yes | List of Naver Smartstore product or vendor URLs |
mode | string | Yes | One of: product, price, coupons, vendor |
Output
Each result contains the full API response plus metadata fields:
| Field | Description |
|---|---|
_url | Source URL |
_mode | Mode used |
_statusCode | HTTP status code or "error" |
_elapsed | Request duration in seconds |
_retries | Retry counts per status code (if any) |
productId | Naver product ID |
uniqueId | Unique request ID |
crawledAt | Timestamp of the crawl |
status | API status: SUCCESS, PRODUCT_NOT_FOUND, etc. |
result | Array of API results (see examples below) |
Product output example
{"productId": "...","uniqueId": "...","crawledAt": "...","status": "SUCCESS","result": [{"api": "product_details","result": { "..." }}],"_url": "https://smartstore.naver.com/.../products/...","_mode": "product","_statusCode": 200,"_elapsed": 0.0}
result[0].result contains: name, salePrice, discountedSalePrice, stockQuantity, category, channel, productImages, reviewAmount, productDeliveryInfo, naverShoppingSearchInfo, benefitsView, sellerTags, and more.
Price output example
{"productId": "...","uniqueId": "...","crawledAt": "...","status": "SUCCESS","result": [{"api": "price","result": { "..." }}],"_url": "https://smartstore.naver.com/.../products/...","_mode": "price","_statusCode": 200,"_elapsed": 0.0}
result[0].result contains: current_price, base_price, discount.
The
pricemode makes the same request asproductbut extracts only price-related fields from the response. This means the returned price is always consistent with the product data.
Coupons output example
{"productId": "...","uniqueId": "...","crawledAt": "...","status": "SUCCESS","result": [{"api": "benefitsByProducts","result": { "..." }},{"api": "productBenefitsAll","result": { "..." }}],"_url": "https://smartstore.naver.com/.../products/...","_mode": "coupons","_statusCode": 200,"_elapsed": 0.0}
result[0].result (benefitsByProducts) contains: basicBenefits, customerBenefits, sortedHomeBenefits.
result[1].result (productBenefitsAll) contains: optimalDiscount, productBenefit, exposurePoints, membershipBenefit.
status: "PRODUCT_NOT_FOUND"with emptyresult: []is a valid response when the product has no coupons.
Vendor output example
{"productId": null,"uniqueId": "...","crawledAt": "...","status": "SUCCESS","result": [{"api": "vendor_details","result": { "..." }}],"_url": "https://smartstore.naver.com/.../products/...","_mode": "vendor","_statusCode": 200,"_elapsed": 0.0}
result[0].result contains: merchant_name, vendor_channel_name, vendor_legal_name, owner_name, address, phone_number, email, sale_count, rating, action_grade, business_type, online_sales_registration_number, description.
Use cases
- Price monitoring across Naver Smartstore products
- Competitor analysis and market research for Korean e-commerce
- Vendor due diligence and seller verification
- Coupon and discount aggregation
- Product catalog enrichment with reviews and category data