Musinsa Product Search Scraper: Extract Fashion & Beauty Data Fast

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What Is Musinsa?

Musinsa is one of Asia's largest online fashion and beauty marketplaces, featuring hundreds of thousands of products from local and international brands. The platform serves millions of shoppers across Singapore, South Korea, and the region, making it a critical source for competitive intelligence, trend analysis, and product data. Manually collecting product information from search results is tedious — the Musinsa Product Search Scraper automates the entire process, delivering clean, structured data in seconds.

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Overview

The Musinsa Product Search Scraper extracts product listings from Musinsa search result pages, transforming each item into a detailed record with pricing, images, brand info, and customer ratings. It is ideal for:

• E-commerce analysts monitoring competitor pricing and product assortments
• Market researchers studying fashion and beauty trends across regions
• Retailers tracking product availability and price fluctuations
• Aggregators & comparison platforms feeding product data into their systems
• Data scientists building fashion market datasets for ML models

The scraper excels at handling paginated search results, respecting rate limits, and extracting rich metadata across multiple product categories and brand portfolios.

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Input Format

The scraper accepts a JSON configuration to define which products to extract:

{
  "urls": [
    "https://global.musinsa.com/sg/search?gender=A&keyword=lips&page=1&sortCode=RECOMMEND"
  ],
  "ignore_url_failures": true,
  "max_items_per_url": 200
}

Parameter	Type	Description
urls	Array of strings	Search result page URLs from Musinsa. Include query parameters for gender, keyword, page number, and sort order.
ignore_url_failures	Boolean	If true, the scraper continues if some URLs fail. If false, it stops on first error.
max_items_per_url	Integer	Maximum number of products to extract per URL (e.g., 200). Useful for controlling data volume.

Example URL anatomy:
https://global.musinsa.com/sg/search?gender=A&keyword=lips&page=1&sortCode=RECOMMEND

• gender=A → All genders
• keyword=lips → Search term
• page=1 → First page
• sortCode=RECOMMEND → Recommendation sorting

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Output Format

Sample output

{
  "goods_no": 3882622,
  "goods_name": "Unseen Balloon Tint 16 Types",
  "image": "//image.msscdn.net/thumbnails/global_images/goods_img/20240220/3882622/3882622_17687842869849_big.jpg",
  "image_url": "//image.msscdn.net/thumbnails/global_images/goods_img/20240220/3882622/3882622_17687842869849_big.jpg",
  "brand_id": "oddtype",
  "brand_name": "ODDTYPE",
  "brand_landing_url": "/sg/brands/oddtype",
  "status": "SALE",
  "status_name": "Sale",
  "label_list": [],
  "badge_list": [
    {
      "type": "isExclusive",
      "text": "Exclusive",
      "key_color": "#8A8A8A1A"
    }
  ],
  "global_yn": "Y",
  "normal_price": 25,
  "price": 13,
  "currency_symbol": "SG $",
  "currency_code": "SGD",
  "sale_rate": 48,
  "campaign": {
    "badge": {
      "text": "SIGNITURE DEAL",
      "key_color": "#FA783F"
    }
  },
  "like_count": 91515,
  "is_member_like": false,
  "estimate_count": 23666,
  "estimate_average": 4.6,
  "landing_url": "/sg/goods/3882622",
  "from_url": "https://global.musinsa.com/sg/search?gender=A&keyword=lips&page=1&sortCode=RECOMMEND"
}

Each product returns a comprehensive record with 21 fields covering identity, pricing, imagery, brand, and customer engagement:

Product Identification

Field	Meaning
Goods No	Unique Musinsa product ID
Goods Name	Full product name as displayed on Musinsa
Landing URL	Direct link to the product detail page
Status	Current product status code (e.g., available, discontinued)
Status Name	Human-readable status (e.g., "Active", "Discontinued")

Imagery & Media

Field	Meaning
Image	Product thumbnail or main image (file or embedded data)
Image URL	Direct URL to the product image for external use

Pricing & Currency

Field	Meaning
Normal Price	Standard retail price before discounts
Price	Current selling price (may include discounts)
Currency Symbol	Currency symbol (e.g., $, ₩, SGD)
Currency Code	ISO 4217 code (e.g., "USD", "KRW", "SGD")
Sale Rate	Discount percentage (e.g., 20 for 20% off)

Brand Information

Field	Meaning
Brand ID	Unique identifier for the brand on Musinsa
Brand Name	Official brand name
Brand Landing URL	Link to the brand's Musinsa storefront

Promotions & Labels

Field	Meaning
Campaign	Active promotion or campaign name (e.g., "Summer Sale")
Label List	Product labels or tags (e.g., "New", "Trending", "Limited Edition")
Badge List	Badges assigned by Musinsa (e.g., "Best Seller", "Recommended")
Global YN	Whether the product is available globally (Y or N)

Customer Engagement & Ratings

Field	Meaning
Like Count	Total number of likes/favorites the product has received
Is Member Like	Whether the current user has liked the product
Estimate Count	Number of customer ratings/reviews
Estimate Average	Average rating score (e.g., 4.5 out of 5)

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How to Use

1. Build a search URL — Navigate to Musinsa, use filters (gender, keyword, sort), and copy the full URL.
2. Paste URL — Add the search result URL to the urls array in the configuration.
3. Set limits — Configure max_items_per_url to control the number of products (default: 20, max: 200+).
4. Enable resilience — Set ignore_url_failures: true for large scraping runs.
5. Execute — Start the scraper and monitor progress in the run log.
6. Download — Export results as JSON, CSV, or Excel.

Best practices:

• Use multiple URLs for different search queries to build a comprehensive dataset.
• Sort by "RECOMMEND" or "NEWEST" to capture different product angles.
• For large batches, set max_items_per_url conservatively to avoid timeouts.
• If a URL fails, the scraper logs the error and moves to the next URL.

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Use Cases & Business Value

• Price intelligence: Track competitor pricing in real-time across product categories.
• Trend analysis: Identify bestselling items, emerging brands, and seasonal shifts.
• Inventory management: Monitor stock levels and availability across regions.
• Product catalog sync: Automatically update your own product database with Musinsa data.
• Market research: Analyze fashion consumer preferences and customer satisfaction scores.

The scraper delivers actionable insights in seconds — perfect for fast-moving fashion and beauty markets where data freshness is critical.

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Conclusion

The Musinsa Product Search Scraper is an essential tool for anyone competing in the Asian fashion and beauty market. With 21 data fields per product and flexible filtering, it transforms search results into intelligence that drives pricing decisions, inventory planning, and trend forecasting. Start scraping today and stay ahead of the competition.