Naver Shopping Scraper: Products and Reviews

🛍️ Naver Shopping Scraper: Products and Reviews

🚀 Export Naver SmartStore and Brand Store products and reviews in seconds. Every customer review with photos, videos and the exact option bought, or every product with price, discount, rating and review statistics.

Naver Shopping Scraper reads the public product pages of Naver SmartStore and Naver Brand Store, the storefronts behind most of Korean e-commerce. Paste product URLs or a Brand Store URL and get clean rows you can download as CSV, Excel, JSON or XML.

In one verified run a single product exposed 20,528 reviews across 1,027 pages, and the Actor reads every page, not just the first few. Review rows carry 26 fields and product rows 35 fields, all taken from the same internal API the Naver pages use, so numbers match what shoppers see.

🎯 Target Audience	💡 Primary Use Cases
Cross-border sellers, Korean market researchers, brand and CX teams, price analysts, data teams	Voice of customer, complaint mining, competitor price tracking, UGC image collection, review velocity and rating monitoring

📋 What the Naver Shopping Scraper does

• 💬 Reviews mode: one row per review with rating, full text, date, photos, videos, the purchased option, repurchase and best-review flags, helpful votes and product context.
• 📦 Products mode: one row per product with price, sale price, discount rate, stock, rating, review counts, star breakdown, delivery details, brand, category and images.
• 🏬 Store listing: give a Brand Store URL and it lists the whole catalogue, or only products matching a search text, in the order you choose.
• 🎛 Native filters: sort by ranking, latest, highest or lowest rating and filter by star rating, photo and video reviews, one-month use reviews, repurchase reviews and best reviews. Naver applies them, so the totals are exact.

💡 Why it matters: Naver reviews are the richest consumer feedback in Korea, and they are locked inside product pages that block foreign IPs. This Actor handles the Korean connection for you.

🎬 Full Demo (🚧 Coming soon)

📊 Output

Review rows

Field	Description
🖼 imageUrl	First review photo or video thumbnail (product image if the review is text only)
🆔 reviewId	Unique Naver review ID
⭐ rating	Star rating from 1 to 5
💬 reviewText	Full review text
📅 reviewedAt	Review date, ISO 8601
📦 productName, productId, productUrl	The reviewed product
🏬 storeName	Seller store
🎛 purchasedOption	The exact option or SKU the buyer purchased
🗓 reviewType	One-month use review or regular review
📷 contentType	Text, Photo or Video
🔁 isRepurchase, isFreeTrial, isBestReview	Yes or No flags
👍 helpfulCount	Helpful votes
👤 reviewerId	Masked reviewer ID as shown by Naver
🙂 reviewerProfileImageUrl	Reviewer avatar
🖼 photoUrls	All review photo URLs
🎬 videos	Video thumbnail, video ID, mime type and caption
⭐ productRating, productReviewCount, productPrice, category	Product context on every row
🕒 scrapedAt, ❌ error	Timestamp and error column

Product rows

Field	Description
🖼 imageUrl, 📌 title, 🟢 status, 🔗 url	Identity
🆔 productId, originProductNo	Channel product ID and origin product number
🏬 storeName, storeUrl, storeType	Seller store and whether it is a Brand Store or SmartStore
🏭 brandName, manufacturer	Brand and manufacturer
📂 category, categoryPath	Leaf category and the full path
💴 price, discountedPrice, discountRate, currency	List price, sale price, discount percent, KRW
📦 stockQuantity	Stock
⭐ rating, reviewCount	Average rating and total reviews
📷 photoReviewCount, videoReviewCount, textReviewCount, bestReviewCount, oneMonthReviewCount	Review type counts
📊 starBreakdown	Number of reviews per star
🚚 freeDelivery, deliveryFee, deliveryCompany, sameDayDelivery	Delivery details
🎛 hasOptions	Whether the product has purchase options
🏷 sellerTags, 🖼 images	Seller keywords and gallery
🕒 scrapedAt, ❌ error	Timestamp and error column

Real sample: review

{
  "reviewId": "5072650170",
  "rating": 1,
  "reviewText": "비싼허접쓰레기!! 그뿐~!!! 칵~~~퉤~!!!",
  "reviewedAt": "2026-09-28T00:56:07.051Z",
  "productName": "루메나 프리미엄 휴대용 무선 냉각선풍기 FAN JET ULTRA PLUS",
  "productUrl": "https://brand.naver.com/lumena/products/13244298880",
  "storeName": "루메나",
  "purchasedOption": "제품선택: 울트라플러스 플래티넘베이지 [JUD20]",
  "reviewType": "One-month use review",
  "contentType": "Photo",
  "isRepurchase": "No",
  "helpfulCount": 0,
  "reviewerId": "kesa****",
  "productRating": 4.83,
  "productReviewCount": 20528,
  "productPrice": 59900,
  "category": "휴대용선풍기"
}

Real sample: review with long text

{
  "reviewId": "5071431130",
  "rating": 1,
  "reviewText": "사놓고 실사용 3회 미만인데 쓰려고 할때마다 베터리는 방전되 있어서 ... 충전이 안됨.",
  "reviewedAt": "2026-09-24T13:00:39.298Z",
  "purchasedOption": "제품선택: JET ULTRA PLUS 루나화이트",
  "contentType": "Photo",
  "isBestReview": "No",
  "reviewerId": "chan*****"
}

Real sample: product

{
  "title": "GOT MILK 유럽산 수입멸균우유 믈레코비타 갓밀크 1L(12입)",
  "status": "SALE",
  "url": "https://smartstore.naver.com/pasteur365/products/11150965069",
  "storeName": "파스퇴르365",
  "storeType": "SmartStore",
  "brandName": "파스퇴르",
  "manufacturer": "믈레코비타",
  "categoryPath": "식품>음료>우유/요거트>우유",
  "price": 33900,
  "discountedPrice": 23900,
  "discountRate": 29,
  "currency": "KRW",
  "rating": 4.85,
  "reviewCount": 130,
  "photoReviewCount": 79,
  "videoReviewCount": 2,
  "starBreakdown": { "1": 0, "2": 0, "3": 3, "4": 13, "5": 114 },
  "freeDelivery": "Yes",
  "deliveryCompany": "롯데택배",
  "sameDayDelivery": "Yes"
}

✨ Why choose this Actor

• 🌏 Korean connection handled: Naver answers only Korean residential IPs, and the Actor is built around that.
• 📦 Products and reviews in one tool: switch modes with one setting instead of running two Actors.
• 🎛 Filters Naver applies itself: stars, photo and video, one-month use, repurchase and best reviews return exact counts.
• 🖼 Media included: direct photo URLs and video thumbnails with video IDs.
• 🧾 Self-contained rows: every review carries the product name, rating, price and category, ready for a pivot table.
• ♻️ No duplicates: review IDs are de-duplicated inside each run.

📈 How it compares to alternatives

Feature	This Actor	Typical single-purpose Naver tools
Products and reviews in one Actor	✅	Separate Actors
Full review depth (1,000+ pages)	✅	Often first pages only
Star, photo/video, one-month, repurchase and best filters	✅	Partial
Purchased option per review	✅	Sometimes
Star breakdown and review type counts on products	✅	Rare
Brand Store full catalogue listing	✅	Product URLs only
Global Naver Shopping keyword search	❌ closed to scrapers by Naver	❌
Seller replies to reviews	❌ not in the public review feed	❌
SmartStore store home listing	⚠️ usually behind a captcha, use product URLs	Varies

🚀 How to use

1. 🆓 Create a free Apify account and get $5 in free credit.
2. Open the Actor and paste one or more Naver product URLs, and optionally Brand Store URLs.
3. Choose Reviews or Products, then set sorting and filters.
4. Click Start and download the dataset as CSV, Excel, JSON or XML.

Example: paste https://brand.naver.com/lumena/products/13244298880, choose Reviews, sort by Lowest rating and tick Photo and video reviews only to get every complaint with pictures.

💼 Business use cases

🛒 Cross-border sellers

Read what Korean buyers say about competing products, per option and per star rating, before you launch in Korea.

🧑‍💼 Brand and CX teams

Track new one-star reviews with photos every week and route them to support or product teams.

📊 Market and price analysts

Pull list price, sale price and discount rate for a whole Brand Store and follow them over time.

🔬 Data science

Build sentiment and topic models on thousands of Korean reviews, with the purchased option as a natural segment.

🔌 Automating Naver Shopping Scraper

Connect the Actor to Make, Zapier, Slack, Airbyte, GitHub or Google Drive from the Apify integrations tab. Schedule it daily to keep a live review feed, and trigger a Slack alert whenever a new low rating appears.

🌟 Beyond business use cases

• 🔬 Research: study Korean consumer language and satisfaction patterns.
• 🧑‍🎓 Personal: compare similar products before buying.
• 🤝 Non-profit: monitor product safety complaints for a category.
• 🧪 Experimentation: train Korean text classifiers on labelled star ratings.

🤖 Ask an AI assistant about this scraper

Copy the Actor's page link into your favourite AI assistant and ask how to set filters, how to schedule it or how to analyse the output. The assistant can read the description and tell you which settings fit your goal.

❓ Frequently Asked Questions

🔑 Do I need a Naver account? No. Only public pages are read and nothing is logged in.

🌏 Why does it use Korean proxies? Naver blocks foreign IPs with an error page. The Actor uses Korean residential proxies so the pages load.

📄 How many reviews can I get per product? All of them. A product with 20,528 reviews exposed 1,027 pages, and the last pages were reachable.

🔎 Can I search all of Naver Shopping by keyword? No. Naver's global search is closed to automated clients with a captcha. You can search inside a Brand Store, or paste product URLs.

🏬 Can I list a whole SmartStore store? SmartStore store home pages are usually behind a captcha. Paste product URLs for SmartStore products, which load reliably. Brand Store catalogues list fully.

💬 Are seller replies included? No. Naver does not include them in the public review feed.

🎬 Do I get video files? You get the video thumbnail, video ID, mime type and caption. The video file itself is not exposed publicly.

🖼 Are review photos included? Yes, full-size photo URLs.

💴 Which currency are prices in? Korean won (KRW).

🔁 Are duplicate reviews removed? Yes, inside each run.

⚠️ What does the error column mean? A row with an error means Naver did not return that page. Retry it later.

🧭 Can I limit reviews per product? Yes, with Max reviews per product, and overall with Max Items.

🔌 Integrate with any app

Use the Apify API, webhooks and the official clients for JavaScript and Python to feed the data into your warehouse, BI tool or CRM.

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💡 Pro Tip: browse the complete ParseForge collection.

🆘 Need Help? Open our contact form

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with Naver. It collects only publicly available data.