# 29CM Best Items Scraper - Premium K-Fashion Rankings (`yohan.kim/29cm-best-scraper`) Actor Scrape best-item rankings from 29CM with rank, category, period, brand, product, prices, reviews, likes, image, and product URL. - **URL**: https://apify.com/yohan.kim/29cm-best-scraper.md - **Developed by:** [요한 김](https://apify.com/yohan.kim) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## 29CM Best Items Scraper — Premium K-Fashion Rankings Scrape best-item rankings from [29CM](https://www.29cm.co.kr), Korea's premium curated fashion & lifestyle platform (Musinsa-owned) — where Korea's design-forward brands compete for the higher-end customer. The **only 29CM actor on Apify**. While Musinsa shows the mass market, 29CM shows the premium segment — run both (see our Musinsa Ranking Scraper) for the full K-fashion picture. ### What you get For every ranked product: rank, category, product ID, brand, product name, price and original price (KRW), discount percent, rating, review count, like count, image URL, direct product URL, timestamp — across women's/men's clothing, shoes, bags, jewelry and accessories categories. ### Use cases - **Premium fashion buyers & importers** — track which Korean designer brands and items lead the higher price segment. - **Brand strategy** — pricing and positioning intelligence for entering the Korean premium market. - **Trend analysis** — schedule daily runs to build a premium K-fashion trend time series and spot rising brands early. ### Usage ```json { "categories": ["268100100", "272100100"], "maxItems": 0 } ```` Plain-HTTP scraper — fast, cheap, schedulable. ### Notes - Only publicly visible ranking data is collected. Prices in KRW; Korean text preserved in UTF-8. - Source changes are monitored and fixed promptly — report issues in the Issues tab. # Actor input Schema ## `categories` (type: `array`): 29CM best ranking category codes from the public best category API. The site default redirects to Women's Clothing. ## `period` (type: `string`): Period filter used by the public 29CM best-items endpoint. ## `maxItems` (type: `integer`): Maximum ranked products to return per ranking category (0 = all available, currently 100). ## `proxyConfiguration` (type: `object`): Proxy settings. Default Apify datacenter proxies are enabled for actor runs; local runs continue without a proxy if unavailable. ## Actor input object example ```json { "categories": [ "268100100" ], "period": "NOW", "maxItems": 0, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("yohan.kim/29cm-best-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 = { "proxyConfiguration": { "useApifyProxy": True } } # Run the Actor and wait for it to finish run = client.actor("yohan.kim/29cm-best-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 '{ "proxyConfiguration": { "useApifyProxy": true } }' | apify call yohan.kim/29cm-best-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=yohan.kim/29cm-best-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "29CM Best Items Scraper - Premium K-Fashion Rankings", "description": "Scrape best-item rankings from 29CM with rank, category, period, brand, product, prices, reviews, likes, image, and product URL.", "version": "0.1", "x-build-id": "7toBicL3hLEt7cesI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/yohan.kim~29cm-best-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-yohan.kim-29cm-best-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/yohan.kim~29cm-best-scraper/runs": { "post": { "operationId": "runs-sync-yohan.kim-29cm-best-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/yohan.kim~29cm-best-scraper/run-sync": { "post": { "operationId": "run-sync-yohan.kim-29cm-best-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": { "categories": { "title": "Ranking categories", "type": "array", "description": "29CM best ranking category codes from the public best category API. The site default redirects to Women's Clothing.", "items": { "type": "string", "enum": [ "268100100", "270100100", "269100100", "305100100", "271100100", "272100100", "274100100", "273100100", "306100100", "275100100", "266100100", "292100100", "291100100", "294100100", "293100100", "265100100", "286100100", "290100100", "289100100", "307100100", "268103100", "268106100", "268107100", "268102100", "268104100", "268105100", "268110100", "268109100", "272103100", "272102100", "272104100", "272110100", "272105100", "272113100" ], "enumTitles": [ "Women's Clothing - site default", "Women's Shoes", "Women's Bags", "Women's Jewelry", "Women's Accessories", "Men's Clothing", "Men's Shoes", "Men's Bags", "Men's Jewelry", "Men's Accessories", "Beauty", "Kitchen / Living", "Furniture / Interior", "Computer / Digital", "Home Appliances", "Culture", "Leisure", "Kids", "Food", "Earth", "Women's Clothing - Tops", "Women's Clothing - Pants", "Women's Clothing - Skirts", "Women's Clothing - Outerwear", "Women's Clothing - Dresses", "Women's Clothing - Knitwear", "Women's Clothing - Homewear", "Women's Clothing - Underwear", "Men's Clothing - Tops", "Men's Clothing - Outerwear", "Men's Clothing - Bottoms", "Men's Clothing - Knitwear", "Men's Clothing - Innerwear", "Men's Clothing - Homewear" ] }, "default": [ "268100100" ] }, "period": { "title": "Ranking period", "enum": [ "NOW", "ONE_DAY", "ONE_WEEK", "ONE_MONTH" ], "type": "string", "description": "Period filter used by the public 29CM best-items endpoint.", "default": "NOW" }, "maxItems": { "title": "Max items per ranking", "minimum": 0, "type": "integer", "description": "Maximum ranked products to return per ranking category (0 = all available, currently 100).", "default": 0 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Default Apify datacenter proxies are enabled for actor runs; local runs continue without a proxy if unavailable." } } }, "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 } } } } } } } } } } ```