# Korea Trend Feed β€” Fashion, Crowdfunding & Beauty Rankings (`kdatafactory/korea-trend-feed`) Actor One run = a normalized snapshot of what is trending in Korea right now: fashion rankings (Musinsa, 29CM, W Concept, Zigzag), top crowdfunding (Tumblbug, Wadiz) and K-beauty bestsellers (OLIVE YOUNG Global, USD) as clean JSON with vertical, source and rank. Schedule daily for trend tracking. - **URL**: https://apify.com/kdatafactory/korea-trend-feed.md - **Developed by:** [Seok June Park](https://apify.com/kdatafactory) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 ## Korea Trend Feed πŸ“ˆ **One run = one cross-platform snapshot of what's trending in Korea right now.** This actor pulls the live rankings of **seven major Korean platforms** across three verticals β€” **fashion** ([Musinsa](https://www.musinsa.com), [29CM](https://www.29cm.co.kr), [W Concept](https://www.wconcept.com), [Zigzag](https://zigzag.kr)), **crowdfunding** ([Tumblbug](https://tumblbug.com), [Wadiz](https://www.wadiz.kr)) and **beauty** ([OLIVE YOUNG Global](https://global.oliveyoung.com), USD) β€” and returns them as one normalized JSON feed with `vertical`, `source` and `rank` on every record. Instead of running (and paying for) seven scrapers and gluing seven schemas together, you get a single scheduled-run-friendly trend feed: what Koreans are buying, backing and putting in their carts **today**. > **Try it free.** Apify's free plan includes $5 of monthly platform credit β€” roughly **1,600 results** from this actor (about nine full default snapshots), no credit card required. Set your input, click Start, and export JSON/CSV/Excel. --- ### πŸš€ What it does Pick your **verticals** and how many top items to take per source (`topN`, default 25): | Vertical | Sources | What you get | |----------|---------|--------------| | `fashion` | Musinsa, 29CM, W Concept, Zigzag | Top-ranked products with brand and current price (KRW; W Concept in USD) | | `crowdfunding` | Tumblbug, Wadiz | Most-popular **ongoing** campaigns with maker/brand and KRW amount raised | | `beauty` | OLIVE YOUNG Global | Best-seller ranking with brand and USD price | A full default run returns **~175 records** (7 sources Γ— top 25) in one normalized schema β€” every record carries its `vertical`, `source` platform and 1-based `rank`. **Partial-failure tolerant:** if one platform is down or blocks a request, the run logs a warning, records it in the `SOURCE_FAILURES` key-value record, and continues with the remaining sources β€” you still get the rest of the snapshot. --- ### πŸ“₯ Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `verticals` | array | all three | Any of `fashion`, `crowdfunding`, `beauty`. | | `topN` | integer | `25` | Top items per source platform (1–50). | | `proxyConfiguration` | object | off | Optional Apify proxy. Not required β€” enable for IP diversity on frequent schedules. | **Input example β€” full daily snapshot:** ```json { "verticals": ["fashion", "crowdfunding", "beauty"], "topN": 25 } ```` *** ### πŸ“€ Output Every record has the same shape (real samples from a live run): ```json { "source": "musinsa", "vertical": "fashion", "rank": 1, "name": "데일리 λ‘€μ—… λ ˆμ΄μ–΄λ“œ ST 크둭 ν‹°μ…”μΈ -3Color", "brand": "ν•„λ£¨λ―Έλ„€μ΄νŠΈ", "price_krw": 34900, "price_usd": null, "amount_raised_krw": null, "currency": "KRW", "url": "https://www.musinsa.com/products/6708161", "image_url": "https://image.msscdn.net/images/goods_img/20260622/6708161/6708161_17826934723027_500.jpg", "scraped_at": "2026-07-10T15:19:26.622+09:00" } ``` ```json { "source": "wadiz", "vertical": "crowdfunding", "rank": 1, "name": "μΊ”μŒλ£Œ ν˜μ‹ γ…£ν†‘γ…‘μ˜¬λ €μ„œ μƒ₯γ…‘λŒλ¦¬λ©΄ ν’€κ°œλ°©, λ“œλž˜ν”„νŠΈ 탑 ν•œκ΅­ 곡식 λ‘ μΉ­!", "brand": "μ–΄λΌμš΄λ“œμ—‘μŠ€", "price_krw": null, "price_usd": null, "amount_raised_krw": 175230000, "currency": "KRW", "url": "https://www.wadiz.kr/web/campaign/detail/402615", "image_url": "https://cdn3.wadiz.kr/studio/images/2026/05/22/73c3b585-2590-4a7c-aa94-3df4146b34ba.jpeg", "scraped_at": "2026-07-10T15:19:33.652+09:00" } ``` **Field notes** - `vertical` β€” `fashion`, `crowdfunding` or `beauty`. - `source` β€” the origin platform: `musinsa`, `29cm`, `wconcept`, `zigzag`, `tumblbug`, `wadiz`, `oliveyoung`. - `rank` β€” 1-based position within that source's live ranking at scrape time. - `price_krw` / `price_usd` β€” the **current effective (post-discount) price**; KRW for Musinsa/29CM/Zigzag, USD for W Concept and OLIVE YOUNG Global. `null` on crowdfunding records. - `amount_raised_krw` β€” total pledged KRW; populated only on crowdfunding records. - `brand` β€” the **public commercial brand / shop / maker / team name** (like a shop sign). No personal contact details, profiles, or IDs are collected. - `currency` β€” the currency of the populated money field (`KRW` or `USD`). - Fields that don't apply to a vertical are present but `null`, so the schema is stable for CSV/Excel export and downstream pipelines. - A 35-record real sample lives in [`samples/sample-output.json`](samples/sample-output.json). *** ### πŸ’‘ Use cases - **Daily Korea trend brief** β€” schedule one run per day and diff snapshots to see movers across fashion, crowdfunding and beauty at once. - **Pre-retail trend spotting** β€” crowdfunding is where Korean products launch *before* they hit retail; see the funding leaders next to what's already ranking on Musinsa and OLIVE YOUNG. - **K-culture market research** β€” one normalized feed instead of seven schemas for reports, dashboards and newsletters. - **AI agents & LLM pipelines** β€” a compact, stable-schema "what's trending in Korea" context document for RAG or a trend-analysis assistant. - **Sourcing / dropshipping radar** β€” top-ranked items with brand, price, image and URL, refreshed on your schedule. *** ### 🌐 Data source This actor reads the **public** JSON feeds that each platform's own website uses to render its ranking/best-seller/popular pages β€” no login, no private API. It is an aggregate of the same verified endpoints behind this maintainer's dedicated per-platform scrapers, fetched **directly** in one run (it does not call other actors, so you are never double-billed). Sources are fetched sequentially with β‰₯500 ms politeness delays; a full default snapshot completes in about a minute or two. No proxy is required; you can enable an Apify proxy for IP diversity on frequent schedules. *** ### ⚠️ Known limitations (honest notes) - **One flagship slice per platform, not the whole catalog.** Trending means: Musinsa = the Tops-category popularity ranking (the platform exposes no all-category ranking on this API); 29CM = the Women's Clothing BEST ranking; W Concept = the global storefront's curated browse order; Zigzag = the default recommendation feed for its flagship dress keyword (Zigzag has no public overall ranking). For other categories or keyword-level pulls, use the dedicated per-platform actors below. - **Compact trend records only.** This feed carries name / brand / price / amount raised / rank β€” it deliberately does **not** include ratings, review counts, funding rates or backer counts. Those live in the dedicated per-platform actors. - **Mixed currencies by design.** Fashion is KRW except W Concept (USD); beauty is USD (OLIVE YOUNG **Global** storefront prices). Use the `currency` field when aggregating. - **Sponsored cards are removed** from the Wadiz feed and each source is de-duplicated, so `topN` real items per source is the target, not a guarantee to the exact item. - **A failed source shrinks the snapshot.** Rarely a platform errors; the run continues and the failure is logged in `SOURCE_FAILURES` instead of failing your whole schedule. *** ### βš–οΈ Rate & legality note - Only **public, non-personal** data is collected β€” the same rankings any visitor sees without logging in. **No personal data** (no seller, reviewer or backer names, nicknames, profiles, or contact details). `brand` is a public commercial brand/shop/ maker name, like a shop sign; Wadiz's `userId`/nickname fields are deliberately dropped. - Requests are **rate-limited** (sequential sources and pages, β‰₯500 ms delay) β€” one snapshot costs each platform only one or two light JSON requests. - You are responsible for complying with each platform's Terms of Service and applicable law in your jurisdiction. Use the data for research, monitoring, and analytics β€” not to replicate the platforms. *** ### ❓ FAQ **Is it legal to scrape this data?** This actor collects only public, non-personal ranking data β€” the same lists any visitor sees on each site without logging in. No personal data is collected. You are responsible for how you use the data; see the rate & legality note above. **What does it cost in practice?** $3.00 per 1,000 results (launch pricing) + a few cents of platform usage. Example: a full default snapshot (7 sources Γ— top 25 β‰ˆ 175 records) costs about $0.53 β€” roughly $16/month as a daily schedule. Apify's free $5 monthly credit covers ~1,600 results, about nine full snapshots. **Do I need to configure proxies?** No β€” the default settings work out of the box. Optionally, enable an Apify proxy for IP diversity on frequent scheduled runs. **How fresh is the data?** Every run hits the platforms' live ranking feeds at run time. Schedule the actor daily (or hourly) for recurring snapshots β€” the stable schema makes snapshots directly diffable. **How is this different from running the seven scrapers separately?** Same verified endpoints, one run, one normalized schema, one invoice line. The dedicated actors return richer per-platform fields (ratings, review counts, funding rates, category filters, keyword search); this feed is the cheap cross-platform pulse. **What is NOT included?** Ratings, review counts, funding/backer details, category or keyword filtering, and any personal data. Sponsored cards are filtered out. See Known limitations above. *** ### πŸ‡°πŸ‡· More Korean data actors This actor is part of a suite of Korean-platform scrapers by the same maintainer β€” use them when you need the full per-platform depth behind this feed: - [musinsa-scraper](https://apify.com/kdatafactory/musinsa-scraper) β€” Korea's #1 fashion e-commerce: full rankings, categories & keyword search. - [wadiz-scraper](https://apify.com/kdatafactory/wadiz-scraper) β€” Korea's largest reward crowdfunding platform, with funding rates & backer counts. - [oliveyoung-scraper](https://apify.com/kdatafactory/oliveyoung-scraper) β€” OLIVE YOUNG Global K-beauty best sellers, search, ratings & review counts. Browse all: [apify.com/kdatafactory](https://apify.com/kdatafactory) *** ### πŸƒ Run it On Apify: set your input and click **Start**. Locally: ```bash npm install ## put your input in storage/key_value_stores/default/INPUT.json npm start ``` Results land in the default dataset (Apify) or `./storage/datasets/default` (local). *** *If this actor saves you time, a rating on the [Store page](https://apify.com/kdatafactory/korea-trend-feed) helps a solo maintainer a lot. Found an issue? Open it in the Issues tab β€” I respond fast.* # Actor input Schema ## `verticals` (type: `array`): Which trend verticals to include in the snapshot. 'fashion' = Musinsa + 29CM + W Concept + Zigzag rankings, 'crowdfunding' = Tumblbug + Wadiz most-popular ongoing campaigns, 'beauty' = OLIVE YOUNG Global best sellers (USD). ## `topN` (type: `integer`): How many top-ranked items to take from each source platform (a full default run = 7 sources x 25 = ~175 records). ## `proxyConfiguration` (type: `object`): Optional Apify proxy. The sources' public JSON feeds work without a proxy; enable one for IP diversity on frequent scheduled runs. ## Actor input object example ```json { "verticals": [ "fashion", "crowdfunding", "beauty" ], "topN": 25, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "verticals": [ "fashion", "crowdfunding", "beauty" ], "topN": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("kdatafactory/korea-trend-feed").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "verticals": [ "fashion", "crowdfunding", "beauty", ], "topN": 25, } # Run the Actor and wait for it to finish run = client.actor("kdatafactory/korea-trend-feed").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "verticals": [ "fashion", "crowdfunding", "beauty" ], "topN": 25 }' | apify call kdatafactory/korea-trend-feed --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kdatafactory/korea-trend-feed", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Korea Trend Feed β€” Fashion, Crowdfunding & Beauty Rankings", "description": "One run = a normalized snapshot of what is trending in Korea right now: fashion rankings (Musinsa, 29CM, W Concept, Zigzag), top crowdfunding (Tumblbug, Wadiz) and K-beauty bestsellers (OLIVE YOUNG Global, USD) as clean JSON with vertical, source and rank. Schedule daily for trend tracking.", "version": "0.1", "x-build-id": "Q3heCN3zJ0aOmFDPz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kdatafactory~korea-trend-feed/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kdatafactory-korea-trend-feed", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/kdatafactory~korea-trend-feed/runs": { "post": { "operationId": "runs-sync-kdatafactory-korea-trend-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/kdatafactory~korea-trend-feed/run-sync": { "post": { "operationId": "run-sync-kdatafactory-korea-trend-feed", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "verticals" ], "properties": { "verticals": { "title": "Verticals", "type": "array", "description": "Which trend verticals to include in the snapshot. 'fashion' = Musinsa + 29CM + W Concept + Zigzag rankings, 'crowdfunding' = Tumblbug + Wadiz most-popular ongoing campaigns, 'beauty' = OLIVE YOUNG Global best sellers (USD).", "items": { "type": "string", "enum": [ "fashion", "crowdfunding", "beauty" ], "enumTitles": [ "Fashion (Musinsa, 29CM, W Concept, Zigzag)", "Crowdfunding (Tumblbug, Wadiz)", "Beauty (OLIVE YOUNG Global)" ] }, "default": [ "fashion", "crowdfunding", "beauty" ] }, "topN": { "title": "Top N per source", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many top-ranked items to take from each source platform (a full default run = 7 sources x 25 = ~175 records).", "default": 25 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify proxy. The sources' public JSON feeds work without a proxy; enable one for IP diversity on frequent scheduled runs.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```