Daiso Korea Scraper β Real Units Sold + Reviews [π° $4/1K]
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from $4.00 / 1,000 results
Daiso Korea Scraper β Real Units Sold + Reviews [π° $4/1K]
Daiso Korea (daisomall.co.kr) search and reviews with a number almost no retailer exposes: TOTAL UNITS SOLD per product. Prices, ratings, review counts, review text, photos, repurchase flags as clean JSON. For dupe hunters, sourcing teams and trend researchers tracking what Korea actually buys.
Pricing
from $4.00 / 1,000 results
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PARK MOONNAM
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Daiso Korea Scraper β Real Units Sold, Prices & Reviews
Scrape Daiso Korea (daisomall.co.kr) β the 1,500-store value retail giant whose β©1,000β5,000 products keep going viral worldwide (Daiso beauty dupes, kitchen gadgets, organizers). Search any keyword or collect customer reviews, and get clean structured JSON with a field almost no retailer exposes: total units sold per product.
Why this data is special
- π Real sales volume β every product returns
totalSold(cumulative units ordered). Not estimated popularity: actual demand numbers, straight from Daiso's own API - π¬ Deep review data β full text, star rating, date, review photos, repurchase flag, and structured attribute answers (e.g. "λκ»: λ³΄κΈ°λ³΄λ€ λκΊΌμμ" / thickness, texture, durability)
- π°π· Trend origin signal β viral "Daiso dupes" appear here months before they hit TikTok, Amazon, or resellers
β‘ Try it in 30 seconds (free)
- Click Try for free β the input is pre-filled with a keyword.
- Click Start. A few hundred products take 10β20 seconds.
- Open Output, sort by
totalSold, and you have Daiso Korea's real best-seller list for that category. Export as JSON, CSV or Excel.
Apify's free plan includes $5 of credit every month β about 1,200 results with this Actor, no card required. Pricing is $4 per 1,000 items + $0.005 per run, platform usage included.
π What the data shows (September 2026 sample)
I ran this Actor on 15 category keywords β 2,349 unique products, 24.8 million units sold in total β and ranked them by totalSold:
| # | Product | Price | Units sold |
|---|---|---|---|
| 1 | Eclat wet wipes, 150 sheets | β©1,000 | 994,677 |
| 2 | Pull-out kitchen towels, 150 sheets | β©1,000 | 770,852 |
| 3 | Tempo toilet paper roll | β©500 | 590,389 |
| 4 | VT PDRN Glow sheet mask | β©1,000 | 499,272 |
| 5 | Mommy Care sea grape skin pads, 80 pads | β©5,000 | 342,377 |
| 8 | Boncep freeze-dried Vita C ampoule kit | β©5,000 | 267,685 |
| 12 | VT PDRN Glow toner, 200 ml | β©5,000 | 212,668 |
| 22 | VT Reedle Shot 100 ampoule, 2 ml Γ 6 | β©3,000 | 149,840 |
33 of the top 48 products are beauty or personal care; 23 cost β©1,000 or less; average rating 4.80; none sold out. Six VT products in the top 48. This is the kind of answer you get from one run β for any category, any time.
What you can do with it
- π Spot viral products early β sort by
totalSoldto see what Koreans actually buy in volume - π§΄ K-beauty & dupe research β track the Daiso beauty products that keep selling out
- π Product development & sourcing β see which designs, sizes, and price points win in the world's most competitive value-retail market
- π Review mining β thousands of structured Korean reviews with photos and repurchase signals, ready for sentiment analysis or LLM pipelines
- π€ Feed AI agents & dashboards β clean JSON output for Sheets, BI tools, or RAG
Modes
1. Search mode (mode: "search")
Search products by keyword (Korean works best: μμΈλ―Έ, μλ©, νμ₯ν, μ£Όλ°©...). Returns name, price, rating, review count, total units sold, 3-level category, image, sold-out/new/online-only flags. Results include total match count and paginate automatically.
2. Reviews mode (mode: "reviews")
Collect customer reviews for specific products (pass productNo values from a search run, or product URLs). Returns review text, star rating, date, masked author, review photos, repurchase flag, MD's-choice flag, and structured attribute ratings. Newest first.
Example input
{ "mode": "search", "keywords": ["μμΈλ―Έ", "νμ₯ν"], "maxItems": 200 }
{ "mode": "reviews", "products": ["B202604015358"], "maxReviewsPerProduct": 500, "maxItems": 500 }
Example output (search)
{"keyword": "μμΈλ―Έ","position": 1,"totalResults": 233,"productNo": "B202604015358","name": "μ₯μμ λ§μ¬ μμΈλ―Έ","url": "https://www.daisomall.co.kr/pd/pdr/SCR_PDR_0001?pdNo=B202604015358","price": 12000,"currency": "KRW","rating": 4.8,"reviewCount": 12838,"totalSold": 299600,"categoryLarge": "μ£Όλ°©μ©ν","categoryMiddle": "μ£Όλ°©μ‘ν","categorySmall": "μμΈλ―Έ/λ³μ","isSoldOut": false,"isNew": false,"onlineOnly": true}
Example output (review)
{"productNo": "B202604015358","productName": "μ₯μμ λ§μ¬ μμΈλ―Έ","reviewId": 9304782,"totalReviews": 12835,"rating": 5,"text": "μ ν λ§μμ λ€μ΄μ μ°Ύκ³ μλ μ νμΈλ° μ μ¬μ©ν κ²μ","date": "2026-09-03","authorMasked": "dms*******","isRepurchase": false,"attributes": [{ "name": "λκ»", "answer": "λ³΄κΈ°λ³΄λ€ λκΊΌμμ" },{ "name": "μ΄κ°", "answer": "μκ°λ³΄λ€ λΆλλ¬μμ" }],"images": ["https://www.daisomall.co.kr/file/PD/20260903/....jpeg"]}
Why this Actor
- Built by a Korean marketing practitioner β I work with Korean retail and e-commerce daily, so the data model reflects how the platform actually works
- Fast and affordable β lightweight HTTP, no headless browser
- Privacy-aware β author IDs come pre-masked by the platform; no personal data is collected
Q&A
How do I scrape Daiso Korea (daisomall.co.kr)?
Run this Actor with a Korean keyword such as νμ₯ν (cosmetics), λ§μ€ν¬ν© (sheet mask), μ£Όλ°© (kitchen) or μλ© (storage). It calls Daiso's own search API and returns every matching product as structured data β no browser, no login, no Korean IP.
What are the best-selling products at Daiso Korea?
Every product comes with totalSold, Daiso's cumulative units-ordered counter. Run a category keyword, sort by totalSold, and you have the real best-seller list for that category. In my September 2026 sample of 2,349 products, the top beauty item was the VT PDRN Glow sheet mask with about 500,000 units sold at β©1,000.
Does Daiso Korea have a public API? No. There is no official public API. This Actor returns the same data as JSON, CSV or Excel, and you can call it over the Apify REST API.
How do I find viral Daiso beauty products and dupes?
Search νμ₯ν, μ€ν¨μΌμ΄, λ§μ€ν¬ν©, μ ν¬λ¦Ό or a brand such as VT, then sort by totalSold or reviewCount. Use isNew to spot recent launches that are already selling fast.
Can I get Daiso product reviews?
Yes β switch mode to reviews and pass productNo values from a search run. You get review text, stars, date, photos, a repurchase flag and Daiso's structured attribute ratings.
Is this Daiso Japan or Daiso Korea? Daiso Korea (μμ±λ€μ΄μ, daisomall.co.kr) β a separate company from Daiso Japan, with its own product lines, including the Korean beauty collaborations (VT, Boncep, Madeca 21) that are not sold in Japanese Daiso stores.
Are prices in USD? Prices are in KRW exactly as shown on the site (β©1,400 β US$1). Most products cost β©1,000β5,000.
π€ Use it from ChatGPT, Claude or any AI agent (MCP)
This Actor works as a tool for AI agents through the Apify MCP server. Add this server URL to Claude, Cursor, VS Code or any MCP client and the agent can call the Actor by itself:
https://mcp.apify.com?tools=cocomoon/daiso-scraper
Then just ask in plain language β for example: "What are the 15 best-selling sheet masks at Daiso Korea by units sold?"
FAQ
Do I need a Korean IP or account? No login is used; the default Apify proxy works.
Can I schedule it? Yes β use Apify Schedules for daily/weekly trend tracking and feed the dataset anywhere (Sheets, S3, webhook, MCP/AI agent).
Is this legal? The Actor collects only publicly available product and review listing data, with author names already masked by the platform. You are responsible for using the data in compliance with applicable laws and the target site's terms.
Something broken or missing? Open an issue on this Actor β I respond quickly.
β Did it save you time? A quick star rating on this page takes 5 seconds and helps other teams find a scraper that works for Korean sites.
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Keywords: Daiso scraper, daisomall.co.kr, Daiso Korea products, Daiso beauty dupes, Korean retail data, Daiso reviews API, K-lifestyle trends, λ€μ΄μ μ€ν¬λ μ΄νΌ, λ€μ΄μλͺ° λ°μ΄ν°