Coupang Product Detail Scraper (쿠팡)

From Zen Studio, creators of Naver Shopping and the #1-ranked 1688 scraper on Apify, used by 1,800+ users. Explore Korean marketplace data with the studio behind Coupang Search, Product Detail and Reviews.

Why choose this Coupang product details scraper?

Price and stock for product options.
Export sizes, colours and capacities with their offered prices, inventory and sold-out flags. Compare the options customers can actually buy.

Competing sellers, side by side.
Collect other sellers offering the same product, including their prices, delivery information and store ratings. Identify the selected offer and compare alternatives.

Coupons, quantity pricing and specifications.
Get the product’s coupon and member-price information, prices by quantity, shipping charges, specifications and certifications in the same row. Full product details are included in the per-product charge.

How to scrape Coupang product details

Paste a Coupang product URL or product ID. This example includes stock and competing sellers, with related products and customer Q&A switched off.

{
  "productUrls": [
    "https://www.coupang.com/vp/products/6359373947"
  ],
  "includeBuyboxSellers": true,
  "includeStock": true,
  "includeRelatedProducts": false,
  "maxQuestionsAnswers": 0
}

Open actor input and replace the example URL with your product. Export the results as JSON, CSV or Excel; JSON preserves nested options and seller offers.

Fields depend on what Coupang publishes for each product. Coupon and member prices may have eligibility conditions. A bare product ID selects the first listed option; use a URL containing itemId and vendorItemId to pin a particular option. Customer Q&A is an optional, separately billed add-on. Individual reviews use the Coupang Review Scraper.

Zen Studio · Korean Commerce
Coupang Search Product search	Coupang Detail You are here	Coupang Reviews Reviews & photos	Naver Shopping Korean products

What data you get from Coupang

One complete row per product, live from Coupang at the moment of the run:

• Identifiers — product ID, item ID, vendor item ID, and a clean product URL
• Name, images and rating summary — average score, review count, and the per-star breakdown
• Pricing — list price, sale price, coupon price, unit price, discount rate, per quantity step
• Options / variants matrix — every option (size, colour, capacity, RAM, operating system, …) with its own price, stock and vendor item ID
• Category path — the product's full breadcrumb trail
• Delivery — shipping fee, free-shipping conditions, arrival and delivery options
• Stock / availability — sold out, almost sold out, buyable quantity
• Seller — name, ID and store rating
• Other sellers — the competing offers for the same product (the buybox), each with price, delivery and seller rating
• Specifications & certifications — model, manufacturer, KC certification, energy grade, release date, the spec table, return policy

Optional add-ons: Related products (recommended and also-bought items) and Questions & answers (customer Q&A with seller replies).

A bare product ID resolves to the first listed option. To pin a specific option, paste the product URL with its itemId and vendorItemId. A URL also works when the product ID in it is a placeholder (for example 0), as long as it includes a vendorItemId — the product is resolved from the vendor item ID.

Input

• Product URLs or IDs — paste Coupang product page URLs (e.g. https://www.coupang.com/vp/products/7654321) or bare numeric product IDs. Both work; a URL with only a vendorItemId (a placeholder product ID like 0) is resolved to the right product too. Up to 1000 products per run; larger lists are truncated (split them across runs). Duplicates are removed automatically.
• Enrichment toggles — turn these on/off to shape the dataset size and cost:
  • Include other sellers (on by default)
  • Include stock (on by default)
  • Include related products (off by default — the largest add-on; turn on for recommendations)
• Questions & answers per product — set how many customer Q&A to collect per product (newest first). 0 skips Q&A. Billed separately, per Q&A collected.

Output

One dataset row per product. The dataset table shows the flat top-level columns (product ID, name, price, rating, URL); the full product data lives in the nested detail object, split into sections. Arrays are trimmed to one item below for readability; a real run returns the full lists.

{
  "productId": "8512549241",
  "itemId": "24641516609",
  "vendorItemId": "91652297692",
  "name": "HP 2025 VICTUS 15 게이밍 노트북 15.6 라이젠9 지포스 RTX 4060, Mica Silver, 512GB, 16GB, Free DOS, 15-fb3001AX",
  "price": 1598990,
  "ratingAverage": 5,
  "ratingCount": 269,
  "url": "https://www.coupang.com/vp/products/8512549241?itemId=24641516609&vendorItemId=91652297692",
  "detail": {
    "core": {
      "itemName": "HP 2025 VICTUS 15 게이밍 노트북 …, Mica Silver, 512GB, 16GB, Free DOS",
      "soldOut": false,
      "almostSoldOut": false,
      "buyableQuantity": 2,
      "otherSellerCount": 11,
      "images": [ { "origin": "https://image.coupangcdn.com/image/retail/images/…-ec403630.jpg", "detailImage": "https://thumbnail.coupangcdn.com/thumbnails/remote/492x492ex/…", "thumbnailImage": "…/48x48ex/…" } ],
      "vendor": { "name": "쿠팡", "id": "A00…", "sellerStoreRating": { "total": 1234, "display": { "score": "97%" } } },
      "quantityBase": [
        {
          "quantity": 1,
          "priceUnit": "원",
          "price": { "originPrice": "1,598,990", "salePrice": null, "couponPrice": "1,598,990", "finalPrice": "1,598,990", "discountRate": "5", "instantDiscount": true, "instantPriceType": "MEMBER", "unitDiscountRate": null },
          "shippingFee": { "message": "<em class='prod-txt-bold'>무료배송</em>", "freeShippingConditionMessage": null },
          "delivery": { "descriptions": [ "내일(수) 9/9 도착 보장" ] },
          "quantityLimitationVO": { "…": "…" }
        }
      ],
      "couponList": [ "…" ]
    },
    "optionRows": [
      {
        "typeId": "11192",
        "name": "저장용량",
        "values": [
          { "name": "512GB", "vendorItemId": 91853646984, "price": 1610000, "inventory": 50, "soldOut": false, "almostSoldOut": false, "sellable": true, "salePrice": "1,610,000" },
          { "name": "1TB", "vendorItemId": 93839553217, "price": 1933160, "inventory": 44, "soldOut": false, "salePrice": "1,933,160" }
        ]
      },
      { "typeId": "11787", "name": "RAM용량", "values": [ { "name": "16GB", "vendorItemId": 91853646984, "price": 1610000, "inventory": 50, "soldOut": false } ] },
      { "typeId": "12292", "name": "운영체제", "values": [ { "name": "WIN11 Pro", "vendorItemId": 95453303025, "price": 2052100, "inventory": 19, "soldOut": false } ] }
    ],
    "breadcrumbs": [ { "id": 178155, "name": "가전디지털" }, { "id": 178156, "name": "노트북" } ],
    "options": [ { "vendorItemId": 91652297692, "attributeValueName": "… Mica Silver, 512GB, 16GB, Free DOS", "soldOut": false } ],
    "stock": [ { "quantity": 1, "priceUnit": "원", "price": { "originPrice": "1,598,990", "couponPrice": "1,598,990", "discountRate": "5" }, "shippingFee": { "message": "무료배송" } } ],
    "ratingSummary": { "ratingCount": 269, "ratingAverage": 5, "summary": { "ratingSummaries": [ { "rating": 5, "count": 234, "percentage": 89 }, { "rating": 4, "count": 13, "percentage": 4 } ] } },
    "specs": [ { "title": "품명 및 모델명", "description": "노트북 컴퓨터 / 모델명: 15-FB3001AX / 인증 모델명: TPN-Q279_A" } ],
    "detailBlocks": [ "…" ],
    "certifications": [ "…" ],
    "returnPolicy": { "vendorItemDeliveryNotice": { "deliveryMethod": "순차배송", "deliveryCharge": "무료배송 - 로켓배송 상품 중 19,800원 이상 구매 시 무료배송" } },
    "sellingPoints": [ "…" ],
    "buyboxSellers": {
      "title": "다른 판매자 보기",
      "totalCount": 11,
      "items": [
        {
          "vendorItemId": 91652297692,
          "price": "1,598,990",
          "vendorName": "쿠팡",
          "selected": true,
          "deliveryInfo": { "deliveryChargePolicy": "<em class='prod-txt-bold'>무료배송</em>", "deliverDate": "<em>내일(수) 9/9</em><em>도착 보장</em>", "badgeType": "ROCKET" },
          "sellerStoreRating": { "total": 342, "display": { "label": "판매자 평가", "score": "97%" } },
          "i18nPrice": { "amount": "1598990", "fractionDigits": 0, "currency": "KRW" }
        }
      ]
    },
    "relatedProducts": {
      "carousel-widgets": { "title": "함께 보면 좋은 상품", "productLists": [ { "productId": 7342370420, "itemId": 24458398243, "vendorItemId": 81729017241, "title": "피씨오브플레이어 게이밍 조립컴퓨터 …" } ] },
      "reco-widget": { "fbtItemList": [ "…" ], "abtItemList": [ "…" ] }
    },
    "questionsAnswers": {
      "collected": 3,
      "totalAvailable": 105,
      "items": [
        {
          "inquiryId": 160437677,
          "content": "제가 사고 싶은 사양이 이 제품뿐이라, 일시품절이 언제쯤 풀릴까요?",
          "createdAt": "20260908092934",
          "vendorName": "주식회사 제이씨앤에스",
          "comments": [ { "content": "현재 구매 가능한 상태로 보입니다.", "createdAt": "20260908093847", "formattedCreateDate": "2026/09/08 09:38:47" } ]
        }
      ]
    }
  }
}

detail.core is the product's item exactly as Coupang serves it, so every key it exposes is passed through; the snippet shows the ones most people read. optionRows is the option matrix — one entry per attribute (capacity, RAM, colour, size, …), each value carrying its own live price, stock (inventory, soldOut) and vendorItemId. Every buybox seller carries vendorName, price (and structured i18nPrice), selected (the current buybox winner), deliveryInfo and sellerStoreRating. Values are passed through exactly as Coupang returns them: some delivery strings carry inline <em> markup, salePrice / originPrice can be null when there is no strike-through price, and fields a product doesn't declare (like certifications or sellingPoints) come back empty. offerPrice is added at the top level when a coupon undercuts the list price. Nothing is cleaned or dropped.

Completeness

Every product you supply is returned. Complete rows have no incomplete field. In the rare case a section could not be retrieved, the row carries an incomplete array naming exactly what is missing, so a partial result is never silently handed back as if it were complete:

• "incomplete": ["buyboxSellers"] — the product is complete, but that one add-on section could not be collected this run.
• "incomplete": ["product-detail"] — the whole product could not be retrieved this run; only its ID is returned. Re-run that ID.

A row flagged ["product-detail"] delivered no product data and is not charged. A row that still contains the product is charged normally; the flag just tells you which add-on section to re-run if you need it.

The Coupang suite

Actor	Use it for
Coupang Search Scraper	Find products by keyword (prices, ratings, badges, IDs)
Coupang Product Detail Scraper	Full product pages by URL or ID (this actor)
Coupang Review Scraper	Individual customer reviews for a product

Individual customer reviews are not part of this actor — use the Coupang Review Scraper for those.

More Korea marketplace data

• Naver Shopping 네이버쇼핑
  • Naver Shopping Scraper — specification tables, every seller's price, price history and reviews
  • Naver Shopping Product Detail Scraper — one row per product from a link or ID, with specs, sellers and price history
  • Naver Shopping Review Scraper — every customer review for a product, with photos, ratings and the purchased option

Integrations and scheduling

Run the Coupang product details scraper on a schedule in Apify Console, daily for price and stock monitoring, weekly for catalogue refreshes. Each run can call a webhook when it finishes, so n8n, Make and Zapier flows pick up new rows without polling. The Apify API and the Apify MCP server take the same input, for scripts and AI agents.

Pricing

Pay per result — one flat charge for each product returned, at the per-1,000 rate shown in the pricing panel on this page. That single price covers the whole row: full pricing, the option matrix, category path, delivery, stock, seller, other sellers, rating and specifications.

Questions & answers, when enabled, are billed separately at $1.99 per 1,000 items collected (0 in the input disables them). Products that cannot be retrieved are not charged, and turning off enrichment sections lowers the dataset size.