# Musinsa Product Scraper (`super_scrapers/musinsa-scraper`) Actor Scrape product data from Musinsa.com — Korean + English titles, brand, prices, discount, images, and size/color matrix. - **URL**: https://apify.com/super\_scrapers/musinsa-scraper.md - **Developed by:** [Super Scraper](https://apify.com/super_scrapers) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 78.6% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Musinsa Product Scraper Scrape product data from [Musinsa](https://www.musinsa.com) — the largest Korean fashion marketplace. Pulls title, brand, prices, discount %, image gallery, and the size/color matrix for each product. No browser automation, no DeepL key, no third-party dependencies — just clean JSON per product. ### What you get - **Korean + English fields natively** — Musinsa publishes both; this actor surfaces them. No translation API needed. - **Live pricing** — original price, sale price, and discount percentage, in KRW. - **Full image gallery** — every product photo URL from `image.msscdn.net`, in order, plus the thumbnail. Image URLs only — no files are downloaded or rehosted. - **Size & color matrix** — `{ color: [sizes] }` shape, only in-stock variants. - **Sale status flags** — `saleStatus` (`SALE`, `STOP_SALE`, etc.) and `isSoldOut` so you can filter discontinued items. - **Bulk-ready** — paste any number of URLs or product IDs, control concurrency. ### Use cases - **Reseller pricing** — pull current Musinsa prices and discounts across your catalog before listing on your own store - **Inventory sync** — detect when a product flips to `STOP_SALE` so you can pull it from your shop - **Price monitoring** — track discount cycles for specific brands or items over time - **Catalog import** — seed your e-commerce site with curated Korean fashion products including images and variants - **Market research** — competitive pricing analysis across Musinsa brands ### Input | Field | Type | Description | |---|---|---| | `startUrls` | array | Musinsa product URLs (`https://www.musinsa.com/products/{id}`) | | `productIds` | array | Alternative: raw numeric product IDs | | `includeImages` | bool | Include image URL gallery (default `true`) | | `includeSizes` | bool | Include size/color matrix (default `true`) | | `maxConcurrency` | int | Parallel products, 1–20 (default `3`) | #### Example input ```json { "startUrls": [ { "url": "https://www.musinsa.com/products/5682006" }, { "url": "https://www.musinsa.com/products/3669327" } ], "includeImages": true, "includeSizes": true, "maxConcurrency": 3 } ```` ### Output Each item pushed to the dataset. Example (real run, product `5682006`): ```json { "productId": "5682006", "url": "https://www.musinsa.com/products/5682006", "title": "TX304 커브드 배기 벌룬 데님 (블랙)", "titleEnglish": "curved baggy balloon fit(black)", "brand": "텍스", "brandEnglish": "TEXX", "gender": "MEN", "styleNo": "TX304", "originalPrice": 85000, "salePrice": 46000, "discountPercentage": 46, "saleStatus": "SALE", "isSoldOut": false, "thumbnail": "https://image.msscdn.net/images/goods_img/20251104/5682006/5682006_17627537331979_500.jpg", "images": [ "https://image.msscdn.net/images/goods_img/20251104/5682006/5682006_17627537331979_500.jpg", "https://image.msscdn.net/images/prd_img/20251104/5682006/detail_5682006_17629149442827_500.jpg", "https://image.msscdn.net/images/prd_img/20251104/5682006/detail_5682006_17629149479200_500.jpg" ], "sizes": { "블랙": ["26 (허리기준)", "28 (허리기준)", "30 (허리기준)", "32 (허리기준)", "34 (허리기준)", "36 (허리기준)"] }, "scrapedAt": "2026-05-13T04:42:13.601Z" } ``` Note that `sizes` keys (color names) and values (size labels) are returned **in the original Korean** as published by Musinsa — e.g. `블랙` (Black), `26 (허리기준)` (26 waist measurement). This matches what your buyers in Korea see and keeps the data authoritative. Run it through your own translation layer if you need English keys. Failed products write a row with `{ productId, error, scrapedAt }` instead of being silently dropped. ### How it works The actor parses the product page HTML directly — specifically the `window.__MSS__.product.state` JSON block embedded in the page — for title, brand, pricing, gender, sale status, and the image gallery. The size/color matrix comes from the goods-detail options endpoint. Both sources are public and globally accessible. ### Notes & limitations - **No proxy needed.** Musinsa's product detail and options endpoints respond globally. The actor calls them directly from Apify's infrastructure. If you hit rate limits at very high volume, throttle `maxConcurrency` to 1–2. - **Discontinued products** (`saleStatus: STOP_SALE`) return an empty `sizes` object by design — Musinsa stops serving variant data for them. All other fields still populate normally. - **Prices** are returned in **KRW as integers**. Currency conversion is your responsibility. - **Image URLs only.** No files are downloaded or hosted. You point at the `image.msscdn.net` CDN; if you need persistent copies, save them yourself. - This actor only scrapes publicly visible product pages. It does not bypass authentication, paywalls, or anti-bot challenges. ### Legal You are responsible for ensuring your use of scraped data complies with applicable law (GDPR, Korean PIPA, etc.) and Musinsa's Terms of Service. Product images, copy, and pricing are © their respective brands and Musinsa — do not republish without permission. This actor is sold for legitimate research, monitoring, and authorized integration use cases. ### Pricing Pay-per-result. One Musinsa product = one result. Failed scrapes (error rows) count as results. # Actor input Schema ## `startUrls` (type: `array`): List of Musinsa product URLs to scrape. Each URL must match the pattern https://www.musinsa.com/products/{productId}. ## `productIds` (type: `array`): Optional: provide raw Musinsa product IDs (numeric). Merged with any URLs provided above. ## `includeImages` (type: `boolean`): Include the full product image gallery (URLs only — no files are downloaded). ## `includeSizes` (type: `boolean`): Include available size and color combinations for each product. ## `maxConcurrency` (type: `integer`): How many products to scrape in parallel. Keep low (2-5) to avoid being rate-limited. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.musinsa.com/products/3669327" } ], "productIds": [], "includeImages": true, "includeSizes": true, "maxConcurrency": 3 } ``` # Actor output Schema ## `products` (type: `string`): All scraped Musinsa products in JSON. One row per product (or per error). ## `productsCsv` (type: `string`): Same data as a flat CSV. Good for Excel / Google Sheets imports. ## `datasetUrl` (type: `string`): Inspect the dataset in the Apify UI with the pretty table view. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://www.musinsa.com/products/3669327" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("super_scrapers/musinsa-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [{ "url": "https://www.musinsa.com/products/3669327" }] } # Run the Actor and wait for it to finish run = client.actor("super_scrapers/musinsa-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.musinsa.com/products/3669327" } ] }' | apify call super_scrapers/musinsa-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=super_scrapers/musinsa-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Musinsa Product Scraper", "description": "Scrape product data from Musinsa.com — Korean + English titles, brand, prices, discount, images, and size/color matrix.", "version": "0.3", "x-build-id": "zOtYFUJ9XzmIdr7oN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/super_scrapers~musinsa-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-super_scrapers-musinsa-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/super_scrapers~musinsa-scraper/runs": { "post": { "operationId": "runs-sync-super_scrapers-musinsa-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/super_scrapers~musinsa-scraper/run-sync": { "post": { "operationId": "run-sync-super_scrapers-musinsa-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "startUrls": { "title": "Product URLs", "type": "array", "description": "List of Musinsa product URLs to scrape. Each URL must match the pattern https://www.musinsa.com/products/{productId}.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "productIds": { "title": "Product IDs (alternative to URLs)", "type": "array", "description": "Optional: provide raw Musinsa product IDs (numeric). Merged with any URLs provided above.", "default": [], "items": { "type": "string" } }, "includeImages": { "title": "Scrape image URLs", "type": "boolean", "description": "Include the full product image gallery (URLs only — no files are downloaded).", "default": true }, "includeSizes": { "title": "Scrape size/color options", "type": "boolean", "description": "Include available size and color combinations for each product.", "default": true }, "maxConcurrency": { "title": "Max concurrent products", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many products to scrape in parallel. Keep low (2-5) to avoid being rate-limited.", "default": 3 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```