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leadbrain

korean-data-mcp

get_musinsa_ranking

Fetch fashion product rankings from Musinsa, Korea's leading fashion platform, to analyze trends by category like outerwear, tops, shoes, and bags.

Instructions

Fetch Musinsa (무신사) fashion ranking — Korea's leading fashion platform.

Args: category: Category slug, e.g. 'all', 'outer', 'top', 'bottom', 'shoes', 'bag' max_items: Maximum number of items to return (default 50, max 100)

Returns: List of product objects with rank, name, brand, price, discountRate, url fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryNoall
max_itemsNo

Implementation Reference

  • Implementation of the get_musinsa_ranking tool handler.
    async def get_musinsa_ranking(
        category: str = "all",
        max_items: int = 50,
    ) -> list[dict]:
        """
        Fetch Musinsa (무신사) fashion ranking — Korea's leading fashion platform.
    
        Args:
            category: Category slug, e.g. 'all', 'outer', 'top', 'bottom', 'shoes', 'bag'
            max_items: Maximum number of items to return (default 50, max 100)
    
        Returns:
            List of product objects with rank, name, brand, price, discountRate, url fields.
        """
        max_items = min(max_items, 100)
        return await _run_actor(
            f"{APIFY_ACCOUNT}/musinsa-ranking-scraper",
            {"category": category, "maxItems": max_items},
        )
  • Registration of get_musinsa_ranking using the @mcp.tool() decorator.
    @mcp.tool()

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