Musinsa Scraper β€” K-Fashion Rankings & Reviews [πŸ’° $2/1K] avatar

Musinsa Scraper β€” K-Fashion Rankings & Reviews [πŸ’° $2/1K]

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Musinsa Scraper β€” K-Fashion Rankings & Reviews [πŸ’° $2/1K]

Musinsa Scraper β€” K-Fashion Rankings & Reviews [πŸ’° $2/1K]

Scrape Musinsa (musinsa.com), Korea's #1 fashion platform: keyword search, official best-seller rankings by category, gender and age, and every review with size fit plus reviewer height and weight. Prices, discounts, ratings, likes and English brand names as clean JSON. No login.

Pricing

from $2.00 / 1,000 results

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PARK MOONNAM

PARK MOONNAM

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Musinsa Scraper β€” K-Fashion Products, Rankings & Reviews

Scrape Musinsa (musinsa.com) β€” 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 β€” including size fit and the reviewer's height and weight. Clean JSON, no login, no browser.

Why this data is special

  • πŸ† The real K-fashion best-seller list β€” 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)
  • πŸ“ Size-fit reviews with body data β€” every review carries structured answers ("μ •μ‚¬μ΄μ¦ˆ / true to size", "μž‘μ•„μš” / 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 β€” likes (wishlist) count, review count, rating, discount depth, "N people viewing now" live stats and "κΈ‰μƒμŠΉ / rising fast" labels
  • 🌐 English brand names & categories β€” each product is enriched with the English brand name, style number, brand country, season year and a 3-level category

⚑ Try it in 30 seconds (free)

  1. Click Try for free β€” 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.

πŸ“Š What the data shows (September 2026 sample)

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

#BrandProductPriceDiscountLikes
1DEUS EX MACHINASeoul College Address Zip Hoodieβ‚©178,0000%2,872
2TRILLIONEssential crop long-sleeve tee, 7 colorsβ‚©19,99049%14,429
3NEW BALANCENB Rover sandalβ‚©139,0000%1,705
4ARC'TERYXSquamish hoody (men)β‚©294,5005%390
5ADIDASClassic track top, pinkβ‚©105,0000%203
6DIMITRI BLACKComfortemp mid-weight paddingβ‚©79,90040%6,854
7THE NORTH FACENovelty Olema EX jacketβ‚©188,0000%989
8ALYSSDenim layered crop knitβ‚©66,60010%6,158

Findings from one run:

  • Outerwear already owns September β€” 43 of the top 100 are jackets, zip hoodies and light padding; tops are 22
  • Korean brands dominate β€” 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 β‚©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 β€” for any category, gender or age group, any day.

What you can do with it

  • πŸ” Trend & brand tracking β€” schedule the weekly ranking per category and watch which brands rise
  • πŸ‘• Sizing & fit analytics β€” build size recommendation models from reviews with height, weight and "runs small / large" answers
  • πŸ’° Price & discount monitoring β€” normal price, sale price, coupon price and final price per product
  • 🌏 K-fashion market entry research β€” see which price points, categories and brands win with Korean Gen Z
  • πŸ€– Feed AI agents & dashboards β€” 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, λ‚˜μ΄ν‚€, 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 Β· 001 tops Β· 002 outerwear Β· 003 pants Β· 100 dresses & skirts Β· 103 shoes Β· 004 bags Β· 120 hats Β· 101 accessories Β· 104 beauty Β· 026 underwear & homewear Β· 017 sports & leisure Β· 102 digital & life Β· 106 kids.

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

3. Reviews mode (mode: "reviews")

Collect customer reviews for products (goods numbers such as 6957177 or product URLs). Returns every review β€” there is no artificial cap unless you set one β€” 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)

FieldDescription
goodsNoMusinsa goods number (use it for reviews mode)
name / nameEnglishProduct name (Korean/original) and English name when provided
brand / brandName / brandNameEnglishBrand slug, Korean brand name, English brand name
url, imageProduct page and thumbnail URL
normalPrice, salePrice, couponPrice, finalPricePrices in KRW
discountRate, finalDiscountRateDiscount % (sale / including coupon)
rating, reviewScore100, reviewCountRating on a 5-point scale, Musinsa's 0–100 score, number of reviews
likeCountWishlist "likes"
position / rankPosition in search results / best-seller rank
category1, category2, category3, categoryCodeCategory path
gender, styleNo, brandCountry, seasonYearTarget gender, style number, brand origin, season year
isSoldOut, isAd, isPlusDelivery, isMusinsaExclusiveFlags
labels, liveStatsRanking badges ("κΈ‰μƒμŠΉ" = rising fast) and live stats ("1.2천λͺ…이 λ³΄λŠ” 쀑" = 1.2K viewing now)

Reviews

FieldDescription
reviewId, goodsNo, productName, brandNameEnglish, totalReviewsReview and product identifiers
rating, text, date, reviewType1–5 stars, review text, ISO date, general/style/photo review
purchasedOptionOption the reviewer bought, e.g. M, 270, BLACK / L
size, colorVsScreen, attributesSize fit answer, color accuracy answer, all survey answers
reviewerGender, reviewerHeightCm, reviewerWeightKgBody profile when the reviewer shared it
helpfulCount, commentCount, imagesHelpful votes, comments, photo URLs

Example output (ranking)

{
"rank": 1,
"goodsNo": 7091307,
"name": "Seoul College Address Zip Hoodie_Black",
"brandName": "데우슀 μ—‘μŠ€ λ§ˆν‚€λ‚˜",
"brandNameEnglish": "DEUS EX MACHINA",
"url": "https://www.musinsa.com/products/7091307",
"normalPrice": 178000,
"finalPrice": 178000,
"discountRate": 0,
"currency": "KRW",
"rating": 5,
"reviewCount": 6,
"likeCount": 2872,
"labels": ["κΈ‰μƒμŠΉ"],
"liveStats": ["1.2천λͺ…이 λ³΄λŠ” 쀑"],
"category1": "μ•„μš°ν„°",
"category2": "ν›„λ“œ μ§‘μ—…",
"categoryCode": "002022",
"styleNo": "D261UZH910099",
"brandCountry": "AUSTRALIA",
"gender": "남성/μ—¬μ„±",
"isSoldOut": false
}

Example output (review)

{
"goodsNo": 6957177,
"productName": "패슀트 μ•€ 프리 ν•˜ν”„ 타이츠 8inch *μ—…λ°μ΄νŠΈ λ””μžμΈ BLK BLK",
"brandName": "룰루레λͺ¬",
"brandNameEnglish": "LULULEMON",
"reviewId": 87506457,
"totalReviews": 106,
"rating": 5,
"text": "κ΅¬ν˜• λŒ€λΉ„ν•΄μ„œ 더 λΆ€λ“œλžκ³  μˆ˜λ‚©λ ₯이 μ’‹μ•„μ Έμ„œ λŒ€ 만쑱 ν•©λ‹ˆλ‹€",
"date": "2026-09-15T17:31:09.000+09:00",
"purchasedOption": "Black Β· 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 β€” for example shoes return "size": "μ •μ‚¬μ΄μ¦ˆ" and [{ "name": "발볼 넓이", "answer": "보톡" }, …]. 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 β€” 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 β€” about 100 fully enriched products in 10 seconds.

Does it get all reviews? Yes β€” 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 (β‰ˆ β‚©1,400 per USD) if needed.

Can I schedule it? Yes β€” 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.

Why this Actor

  • Built by a Korean marketing practitioner β€” 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 β€” 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 β€” Musinsa's own JSON endpoints, no headless browser

More Korean data Actors by me

Something broken or missing? Open an issue on this Actor β€” I respond quickly.


Keywords: Musinsa scraper, musinsa.com API, Musinsa ranking, Musinsa reviews, K-fashion data, Korean fashion scraper, Korean streetwear trends, size fit reviews, 무신사 크둀러, 무신사 λž­ν‚Ή, 무신사 리뷰 μˆ˜μ§‘