Musinsa Scraper — K-Fashion Products, Rankings & Reviews

Scrape Musinsa (musinsa.com) — Korea's #1 online fashion platform, where Korean streetwear, K-fashion brands and global labels like Nike, Adidas and Arc'teryx compete for Gen Z shoppers. Search any keyword, pull the official best-seller ranking by category, gender, age group and period, or collect every customer review of a product — including size fit and the reviewer's height and weight. Clean JSON, no login, no browser.

Why this data is special

• 🏆 The real K-fashion best-seller list — Musinsa's own ranking, filterable by category (outerwear, sneakers, denim, beauty…), gender, age band (teens, 20–24, 25–29 …) and period (real-time, daily, weekly, monthly)
• 📏 Size-fit reviews with body data — every review carries structured answers ("정사이즈 / true to size", "작아요 / runs small") plus the reviewer's height (cm) and weight (kg) when shared. This is gold for sizing models and fit analytics
• ❤️ Demand signals beyond price — likes (wishlist) count, review count, rating, discount depth, "N people viewing now" live stats and "급상승 / rising fast" labels
• 🌐 English brand names & categories — each product is enriched with the English brand name, style number, brand country, season year and a 3-level category

🤖 Five questions an AI agent can answer with this Actor

Connected through MCP (see below) or called from a workflow, this Actor lets an agent answer questions such as:

1. "What are the 30 best-selling outerwear items on Musinsa this week for women in their 20s?" — mode: "ranking", rankingCategories: ["002"], rankingPeriod: "WEEKLY", gender: "F", rankingAgeBand: "AGE_BAND_20"
2. "Which Korean streetwear brands have the most-liked cardigans under ₩60,000?" — mode: "search", keywords: ["가디건"], filter finalPrice, sort by likeCount
3. "Does this jacket run small? What do reviewers of height 175–180 cm say about size L?" — mode: "reviews", filter reviewerHeightCm, purchasedOption, read size
4. "Which products are 'rising fast' in Musinsa's real-time chart right now?" — ranking mode; filter labels for 급상승
5. "List Nike sneakers on Musinsa with their discount depth and review counts." — search 나이키 스니커즈, columns discountRate, reviewCount, rating

⚡ Try it in 30 seconds (free)

1. Click Try for free — the input is pre-filled with the keyword 가디건 (cardigan).
2. Click Start. 50 products with full details take about 10 seconds.
3. Open Output and sort by likeCount or reviewCount. Export as JSON, CSV or Excel.

Want the best-seller list instead? Set Mode to Best-seller ranking, keep category 000 (all) and run again.

Apify's free plan includes $5 of monthly credit, no card required.

📊 What the data shows (September 2026 sample)

I ran this Actor in ranking mode — all categories, weekly ranking, top 100 products — on 16 September 2026:

#	Brand	Product	Price	Discount	Likes
1	DEUS EX MACHINA	Seoul College Address Zip Hoodie	₩178,000	0%	2,872
2	TRILLION	Essential crop long-sleeve tee, 7 colors	₩19,990	49%	14,429
3	NEW BALANCE	NB Rover sandal	₩139,000	0%	1,705
4	ARC'TERYX	Squamish hoody (men)	₩294,500	5%	390
5	ADIDAS	Classic track top, pink	₩105,000	0%	203
6	DIMITRI BLACK	Comfortemp mid-weight padding	₩79,900	40%	6,854
7	THE NORTH FACE	Novelty Olema EX jacket	₩188,000	0%	989
8	ALYSS	Denim layered crop knit	₩66,600	10%	6,158

Findings from one run:

• Outerwear already owns September — 43 of the top 100 are jackets, zip hoodies and light padding; tops are 22
• Korean brands dominate — 59 of 100 are Korean labels, followed by US (15), Canadian (8) and German (8) brands
• 58 of 100 are Musinsa-exclusive products, and 78 are discounted (22% average discount among those)
• Median price is ₩98,910 (~$70); most-represented brands are Adidas (8), Arc'teryx (7) and Musinsa Standard Woman (7)

That is the kind of answer you get from one 10-second run — for any category, gender or age group, any day.

What you can do with it

• 🔍 Trend & brand tracking — schedule the weekly ranking per category and watch which brands rise
• 👕 Sizing & fit analytics — build size recommendation models from reviews with height, weight and "runs small / large" answers
• 💰 Price & discount monitoring — normal price, sale price, coupon price and final price per product
• 🌏 K-fashion market entry research — see which price points, categories and brands win with Korean Gen Z
• 🤖 Feed AI agents & dashboards — clean JSON for Sheets, BI tools, RAG pipelines or MCP agents

Modes

1. Search mode (mode: "search")

Search products by keyword (Korean or English: 가디건, cardigan, 나이키, denim jacket). Sort by recommended, newest, price, discount, review count, or best-selling over 1 day / 1 week / 1 month / 3 months / all time. Filter by gender. Paginates automatically through all results.

2. Ranking mode (mode: "ranking")

Musinsa's official best-seller ranking. Choose category codes, gender (A/M/F), age band and period.

Main category codes: 000 all · 001 tops · 002 outerwear · 003 pants · 100 dresses & skirts · 103 shoes · 004 bags · 120 hats · 101 accessories · 104 beauty · 026 underwear & homewear · 017 sports & leisure · 102 digital & life · 106 kids.

Popular sub-categories: 002020 cardigans · 002022 zip hoodies · 002027 light padding · 002012 short padding · 001005 sweatshirts · 001006 knitwear · 001010 long-sleeve tees · 003002 denim pants · 003004 jogger pants · 003008 slacks · 103004 sneakers · 103002 boots · 104001 skincare · 104015 lip makeup.

3. Reviews mode (mode: "reviews")

Collect customer reviews for products (goods numbers such as 6957177 or product URLs). Returns every review — there is no artificial cap unless you set one — with text, 1–5 star rating, date, purchased option (size/color), structured survey answers (size fit, color vs screen, quality, width, comfort…), reviewer gender, height and weight, helpful count and photo URLs. Sort by newest, most helpful, highest or lowest rating; optionally photo reviews only.

Example input

{ "mode": "search", "keywords": ["가디건", "denim jacket"], "sortBy": "SALE_ONE_WEEK_COUNT", "maxItems": 200 }

{ "mode": "ranking", "rankingCategories": ["002", "103004"], "gender": "F", "rankingAgeBand": "AGE_BAND_20", "rankingPeriod": "WEEKLY", "maxItems": 200 }

{ "mode": "reviews", "products": ["https://www.musinsa.com/products/6957177"], "reviewSort": "new", "maxItems": 5000 }

Output fields

Products (search & ranking)

Field	Description
goodsNo	Musinsa goods number (use it for reviews mode)
name / nameEnglish	Product name (Korean/original) and English name when provided
brand / brandName / brandNameEnglish	Brand slug, Korean brand name, English brand name
url, image	Product page and thumbnail URL
normalPrice, salePrice, couponPrice, finalPrice	Prices in KRW
discountRate, finalDiscountRate	Discount % (sale / including coupon)
rating, reviewScore100, reviewCount	Rating on a 5-point scale, Musinsa's 0–100 score, number of reviews
likeCount	Wishlist "likes"
position / rank	Position in search results / best-seller rank
category1, category2, category3, categoryCode	Category path
gender, styleNo, brandCountry, seasonYear	Target gender, style number, brand origin, season year
isSoldOut, isAd, isPlusDelivery, isMusinsaExclusive	Flags
labels, liveStats	Ranking badges ("급상승" = rising fast) and live stats ("1.2천명이 보는 중" = 1.2K viewing now)

Reviews

Field	Description
reviewId, goodsNo, productName, brandNameEnglish, totalReviews	Review and product identifiers
rating, text, date, reviewType	1–5 stars, review text, ISO date, general/style/photo review
purchasedOption	Option the reviewer bought, e.g. M, 270, BLACK / L
size, colorVsScreen, attributes	Size fit answer, color accuracy answer, all survey answers
reviewerGender, reviewerHeightCm, reviewerWeightKg	Body profile when the reviewer shared it
helpfulCount, commentCount, images	Helpful votes, comments, photo URLs

Input

Field	Type	Default	Description
mode	string	search	search, ranking or reviews
keywords	string[]	—	Search mode. Korean or English keywords / brands
sortBy	string	POPULAR	Search sort: POPULAR, NEW, LOW_PRICE, HIGH_PRICE, DISCOUNT_RATE, REVIEW, SALE_ONE_DAY_COUNT, SALE_ONE_WEEK_COUNT, SALE_ONE_MONTH_COUNT, SALE_THREE_MONTH_COUNT, SALE_COUNT
gender	string	A	Search & ranking: A all, M men, F women
rankingCategories	string[]	["000"]	Ranking mode. Musinsa category codes (000 all, 001 tops, 002 outerwear, 003 pants, 103 shoes, 104 beauty…; 6-digit sub-categories such as 002020 cardigans)
rankingPeriod	string	REALTIME	REALTIME, DAILY, WEEKLY, MONTHLY
rankingAgeBand	string	AGE_BAND_ALL	AGE_BAND_ALL, AGE_BAND_MINOR, AGE_BAND_20, AGE_BAND_25, AGE_BAND_30, AGE_BAND_35, AGE_BAND_40
products	string[]	—	Reviews mode. Goods numbers or product URLs
reviewSort	string	new	new, up_cnt_desc (most helpful), goods_est_desc, goods_est_asc
photoReviewsOnly	boolean	false	Reviews mode. Only reviews with photos
maxReviewsPerProduct	integer	0	Reviews mode. Cap per product (0 = no cap)
includeDetails	boolean	true	Search & ranking: add English names, category path, style number, brand country, season, exact rating
maxItems	integer	1000	Maximum results in total
proxyConfiguration	object	Apify proxy	The default datacenter proxy works

Example output (ranking, 4 November 2026)

{
    "source": "musinsa.com",
    "mode": "ranking",
    "rankingCategoryCode": "000",
    "rankingPeriod": "WEEKLY",
    "rankingGender": "A",
    "rankingAgeBand": "AGE_BAND_ALL",
    "rank": 1,
    "goodsNo": 7588105,
    "name": "[DIMITRI X 젠플록스] © 모두의 캐시미어 발마칸 코트_2 COLOR",
    "brand": "dimitriblack",
    "brandName": "디미트리블랙",
    "brandNameEnglish": "DIMITRI BLACK",
    "url": "https://www.musinsa.com/products/7588105",
    "image": "https://image.msscdn.net/images/goods_img/20261022/7588105/7588105_17932533937853_500.jpg",
    "normalPrice": 198800,
    "finalPrice": 159000,
    "discountRate": 20,
    "currency": "KRW",
    "rating": 5,
    "reviewScore100": 100,
    "reviewCount": 9,
    "likeCount": 3745,
    "labels": ["급상승"],
    "liveStats": ["2.9천명이 보는 중", "41명이 구매 중"],
    "category1": "아우터",
    "category2": "겨울 싱글 코트",
    "categoryCode": "002007",
    "styleNo": "DBE8CL01",
    "brandCountry": "KOREA",
    "seasonYear": "2026",
    "isMusinsaExclusive": true,
    "gender": "남성/여성",
    "isSoldOut": false,
    "scrapedAt": "2026-11-04T04:25:27.038Z"
}

Example output (review)

{
    "goodsNo": 6957177,
    "productName": "패스트 앤 프리 하프 타이츠 8inch *업데이트 디자인  BLK BLK",
    "brandName": "룰루레몬",
    "brandNameEnglish": "LULULEMON",
    "reviewId": 87506457,
    "totalReviews": 106,
    "rating": 5,
    "text": "구형 대비해서 더 부드랍고 수납력이 좋아져서 대 만족 합니다",
    "date": "2026-09-15T17:31:09.000+09:00",
    "purchasedOption": "Black · S",
    "reviewerGender": "남성",
    "reviewerHeightCm": 170,
    "reviewerWeightKg": 58,
    "images": ["https://image.msscdn.net/data/estimate/6957177_0/ef4c4931eaad4ca998b4d9eb56043621.jpg"]
}

Survey answers (size, attributes such as size fit, width, comfort) are filled when Musinsa asks them for that product category — for example shoes return "size": "정사이즈" and [{ "name": "발볼 넓이", "answer": "보통" }, …]. Reviewer height/weight are filled when the reviewer saved a body profile (40/40 on the product above).

Q&A

How do I get Musinsa data as JSON? Run this Actor with a keyword, a ranking category or a product number. Every result is stored in an Apify dataset you can download as JSON, CSV or Excel, or fetch from the Apify API (/datasets/{id}/items?format=json). You can also call it from Python, JavaScript, Make, Zapier, n8n or an MCP-enabled AI agent.

Does it need a Korean IP? No. Musinsa's public product, ranking and review data is reachable with the default Apify proxy (tested September 2026). If you ever get blocked, switch the proxy to Residential with country KR.

Do I need a Musinsa account? No. The Actor uses only public data — no login, no cookies, no CAPTCHA solving.

How much does it cost? You pay per result (see the Pricing tab). Runs are lightweight HTTP requests with no headless browser, so they are fast — about 100 fully enriched products in 10 seconds.

Does it get all reviews? Yes — reviews paginate until the last page. Use maxReviewsPerProduct or maxItems if you only want a sample.

Are the prices in USD? Prices are in KRW exactly as shown on Musinsa. Multiply by the current exchange rate (≈ ₩1,400 per USD) if needed.

Can I schedule it? Yes — use Apify Schedules for daily or weekly ranking snapshots and send the dataset to Google Sheets, S3, a webhook or your AI agent.

Is this legal? The Actor collects publicly available product listings and reviews. Reviewer IDs and nicknames are not collected. You are responsible for using the data in compliance with applicable laws and Musinsa's terms.

🤖 Use it from ChatGPT, Claude or any AI agent (MCP)

This Actor works as a tool for AI agents through the Apify MCP server. Add this server URL to Claude, Cursor, VS Code or any MCP client and the agent can call the Actor by itself:

https://mcp.apify.com?tools=cocomoon/musinsa-scraper

Then just ask in plain language — for example: "Show me this week's top 30 women's outerwear on Musinsa with price, discount and review count."

Why this Actor

• Built by a Korean marketing practitioner — I work with Korean e-commerce and fashion brands daily, so fields are labeled the way the platform actually works
• Three modes in one Actor — search, rankings and reviews share the same product IDs, so you can go from "what's trending" to "what buyers say about fit" in two runs
• Fast and affordable — Musinsa's own JSON endpoints, no headless browser

中文说明

Musinsa（무신사）数据抓取工具 —— 韩国最大的时尚电商平台。三种模式：

• 关键词搜索（search）：商品名称、品牌、价格、折扣、评分、评论数、销量级别。
• 官方排行榜（ranking）：Musinsa 官方畅销榜，按分类和周期，含名次与品牌。
• 评论（reviews）：含评论者身高/体重与尺码合身评价（偏大/合适/偏小），这是做韩国服饰跨境销售最需要的数据。

排行榜可按性别、年龄段（10 代到 40+）、周期（实时/日/周/月）筛选，并带“急上升”标签和“N 人正在浏览”实时数据；每件商品附英文品牌名、款号、品牌国家、季节与三级分类。价格：每 1,000 条结果 $2。支持 MCP，可直接作为 AI Agent 的工具调用。适合 K-fashion 跨境选品、韩国街头潮流监测、品牌与价格带分析、尺码合身度分析。

More Korean data Actors by me

• Naver Search Scraper — the whole Naver search result page section by section (ads, places, posts, news, shopping…), Naver News search and autocomplete suggestions.
• Naver Blog Scraper — Naver Blog keyword search (up to 1,000 posts, date filters), full post text and images, like/comment counts and blog profiles.
• Olive Young Scraper — K-beauty product search with prices, ratings and review counts.
• Olive Young Reviews Scraper — K-beauty customer reviews with skin type/tone/concern profiles and repurchase flags.
• Olive Young Global Scraper — the international store in English: best-seller top 100, USD prices, live stock and full English ingredient lists.
• Daiso Korea Scraper — Daiso products with real total units sold, prices and reviews.
• Naver Place Rank Tracker — Naver Place (네이버 플레이스) keyword rank from any location in Korea, with geo-grid heat-maps and competitor lists.

Something broken or missing? Open an issue on this Actor — I respond quickly.

Fields under review (candidates for removal)

These fields add little over their neighbours and may be dropped in a future version — if you rely on one of them, say so in an issue and it stays:

• search / ranking: source and mode (constant per run), currency (always KRW), reviewScore100 (rating × 20), brand (brand slug — brandName / brandNameEnglish are the readable names), couponPrice and finalDiscountRate (filled for 1 in 4 products; finalPrice / discountRate already reflect them), category3 (empty for most products)
• reviews: reviewedGoodsNo (equals goodsNo), reviewerSkinType / reviewerSkinTone / reviewerSkinConcerns (only beauty products), countryCode (almost always KR), isFirstReview

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