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Naver Apify Integration

Pricing

from $2.00 / 1,000 product scrapeds

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Naver Apify Integration

Naver Apify Integration

Scrape product details, prices, coupons, and vendor info from Naver.

Pricing

from $2.00 / 1,000 product scrapeds

Rating

0.0

(0)

Developer

GroupBWT LLC

GroupBWT LLC

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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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

ModeDescription
productFull product details: name, price, category, images, reviews, delivery info
priceCurrent price, base price, and discount amount
couponsAvailable benefits, coupon discounts, and loyalty points
vendorSeller 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"
}
FieldTypeRequiredDescription
urlsarrayYesList of Naver Smartstore product or vendor URLs
modestringYesOne of: product, price, coupons, vendor

Output

Each result contains the full API response plus metadata fields:

FieldDescription
_urlSource URL
_modeMode used
_statusCodeHTTP status code or "error"
_elapsedRequest duration in seconds
_retriesRetry counts per status code (if any)
productIdNaver product ID
uniqueIdUnique request ID
crawledAtTimestamp of the crawl
statusAPI status: SUCCESS, PRODUCT_NOT_FOUND, etc.
resultArray 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 price mode makes the same request as product but 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 empty result: [] 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