Ktown4u K-Pop Album & Goods Scraper 🎤

Scrape best-seller rankings, keyword search results, and category listings from ktown4u — the de-facto global K-pop album & merchandise store (self-reported 1.8M+ customers across 241 countries). Get clean, structured product data (name, artist/group, USD price, discount, stock status, image, product URL) in JSON, CSV, Excel, or via API.

Built for K-pop sellers, dropshippers, and market researchers who need to track what's actually selling on the world's biggest K-pop storefront — priced in USD and named in English, ready to use.

Try it free. Apify's free plan includes $5 of monthly platform credit — roughly 2,000 results from this actor, no credit card required. Set your input, click Start, and export JSON/CSV/Excel.

---

🚀 What it does

Give it a mode and a list of queries and it returns a structured product feed:

Mode	What you get	Example input
bestsellers	The storefront best-seller ranking (top ~20, with rank)	{ "mode": "bestsellers" }
search	Products matching each keyword	{ "mode": "search", "queries": ["SEVENTEEN", "aespa"] }
category	Products in a store category (by number, or a friendly name)	{ "mode": "category", "queries": ["k-pop"] }

Data comes straight from ktown4u's public Next.js page data (the same JSON the website's own front-end hydrates from) — so it's fast and reliable, no brittle HTML scraping and no login.

Friendly category names you can pass in category mode: k-pop (1723449), k-contents (1723490), k-style (1723524). Any other category number works too — grab it from a ktown4u.com/goodsList?grp_no=… URL.

---

📥 Input

Field	Type	Default	Description
mode	string	bestsellers	bestsellers, search, or category.
queries	string[]	[]	Keywords (search) or category numbers/names (category/bestsellers). Empty in bestsellers = the overall best-seller list.
maxItems	integer	200	Max total products across all queries.
proxyConfiguration	object	Apify proxy	Optional. The storefront serves its public product JSON directly; a proxy just adds IP rotation for large runs.

Input example — search several artists at once:

{
  "mode": "search",
  "queries": ["SEVENTEEN", "BTS", "aespa"],
  "maxItems": 200
}

---

📤 Output

Each product is one dataset record in this shape (real sample from a live run):

{
  "source": "ktown4u",
  "product_id": "166051",
  "name": "Stray Kids - 10th Mini Album [THIS & THAT] (TRUCK Ver.) (Limited Edition)",
  "artist": "Stray Kids",
  "category": "bestsellers",
  "price_usd": 31.14,
  "sale_price_usd": 25.24,
  "currency": "USD",
  "in_stock": true,
  "rank": 6,
  "url": "https://www.ktown4u.com/iteminfo?goods_no=166051",
  "image_url": "https://media.ktown4u.com/products/resize/thumbnail/2026/07/08/MqKJ2Q.jpg",
  "scraped_at": "2026-07-09T13:35:03.606+09:00"
}

Field notes

• price_usd / sale_price_usd — the storefront's USD display prices. When a product is not discounted, sale_price_usd is null.
• artist — the artist/group name (a product attribute, e.g. "Stray Kids", "aespa").
• category — the product context: bestsellers, search/<keyword>, or category/<number>. (The raw product kind, e.g. "Albums", "Photobooks", "Plush Toys", is used as a fallback.)
• rank — 1-based position, populated in bestsellers mode (null in search/category).
• in_stock — whether the item is currently on sale/available.
• A full 25-record sample lives in samples/sample-output.json.

---

⚠️ How many results per query

ktown4u's storefront returns one page (~20 products) of results per query. The actor is built around this: pass many queries in one run (a list of artists, keywords, or category numbers) to collect a large, targeted catalog. bestsellers returns the top ~20 ranked products; search/category return the first ~20 matches for each entry. Deeper pagination past the first page is not offered (the storefront loads it via an internal client-side call we deliberately do not replicate) — so this actor is priced and documented on the first page only, which is exactly the high-signal "what's ranking / what matches" slice most buyers want.

---

💡 Use cases

• Price monitoring — track USD prices and discounts on hero albums/goods over time.
• K-pop market research — see what's topping the best-seller ranking and what's launching by artist.
• Dropshipping / sourcing — pull high-selling products with images and URLs ready to import into Shopify/Amazon listings.
• AI agents & LLM pipelines — feed a clean JSON product catalog into RAG or a shopping assistant.
• Fandom & release tracking — monitor new album/merch drops per group.

---

🌐 Data source & proxy

This actor targets the global ktown4u storefront (www.ktown4u.com) — chosen because it serves English product names and USD prices, exactly what global K-pop sellers need. Data is read from the storefront's public Next.js page-data endpoints.

Proxy is optional. In our testing the storefront serves its public product JSON without a proxy. For large runs you can enable an Apify proxy for IP rotation; the actor falls back to a direct connection automatically if no proxy is configured or the tunnel fails. If the site's edge ever returns HTTP 403/429, enable a proxy and retry.

---

⚖️ Rate & legality note

• Only public, non-personal catalog data is collected — product listings anyone can see without logging in. No customer, reviewer, or seller personal data (no nicknames, profiles, or IDs) is ever scraped. artist is a product attribute, not personal data.
• Requests are sequential with a ≥500 ms delay between queries to stay light on the site.
• You are responsible for complying with ktown4u's Terms of Service and applicable law in your jurisdiction. Use the data for research, monitoring, and analytics — not to replicate the storefront.

---

❓ FAQ

Is it legal to scrape this data? This actor collects only public, non-personal catalog data — the same product listings any visitor sees on ktown4u 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? $2.50 per 1,000 results (launch pricing) + a few cents of platform usage. Example: a 500-result daily pull costs about $1.25/day. Apify's free $5 monthly credit covers ~2,000 results.

Do I need to configure proxies? No — the default settings work out of the box; the storefront serves its public product JSON directly. For large runs you can optionally enable an Apify proxy for IP rotation, and if the site's edge ever returns HTTP 403/429, enable a proxy and retry.

How fresh is the data? Every run scrapes the live site at run time. Schedule the actor for recurring snapshots (e.g. daily best-seller tracking).

What is NOT included? Only the first page (~20 products) per query — deeper pagination is deliberately not offered, so pass many queries to build a large catalog. No customer, reviewer, or seller personal data is ever scraped.

---

🇰🇷 More Korean data actors

This actor is part of a suite of Korean-platform scrapers by the same maintainer:

• pocamarket-scraper — K-pop photocard marketplace listings and prices.
• bunjang-scraper — Korea's top secondhand marketplace search results.

Browse all: apify.com/kdatafactory

---

🏃 Run it

On Apify: set your input and click Start. Locally:

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 helps a solo maintainer a lot. Found an issue? Open it in the Issues tab — I respond fast.