# Daiso Korea Scraper — Products, Sales & Reviews (`cocomoon/daiso-scraper`) Actor

Scrape Daiso Korea (daisomall.co.kr): search products by keyword or collect customer reviews. Prices, ratings, review counts, TOTAL UNITS SOLD, review text, photos, repurchase flags as clean JSON.

- **URL**: https://apify.com/cocomoon/daiso-scraper.md
- **Developed by:** [PARK MOONNAM](https://apify.com/cocomoon) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Daiso Korea Scraper — Products, Real Sales Volume & Reviews

Scrape **Daiso Korea (daisomall.co.kr)** — the 1,500-store value retail giant whose ₩1,000–5,000 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

- 📈 **Real sales volume** — every product returns `totalSold` (cumulative units ordered). Not estimated popularity: actual demand numbers, straight from Daiso's own API
- 💬 **Deep review data** — full text, star rating, date, review photos, **repurchase flag**, and structured attribute answers (e.g. "두께: 보기보다 두꺼워요" / thickness, texture, durability)
- 🇰🇷 **Trend origin signal** — viral "Daiso dupes" appear here months before they hit TikTok, Amazon, or resellers

### What you can do with it

- 🔍 **Spot viral products early** — sort by `totalSold` to see what Koreans actually buy in volume
- 🧴 **K-beauty & dupe research** — track the Daiso beauty products that keep selling out
- 🏭 **Product development & sourcing** — see which designs, sizes, and price points win in the world's most competitive value-retail market
- 📊 **Review mining** — thousands of structured Korean reviews with photos and repurchase signals, ready for sentiment analysis or LLM pipelines
- 🤖 **Feed AI agents & dashboards** — clean JSON output for Sheets, BI tools, or RAG

### Modes

#### 1. Search mode (`mode: "search"`)

Search products by keyword (Korean works best: `수세미`, `수납`, `화장품`, `주방`...). 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

```json
{ "mode": "search", "keywords": ["수세미", "화장품"], "maxItems": 200 }
```

```json
{ "mode": "reviews", "products": ["B202604015358"], "maxReviewsPerProduct": 500, "maxItems": 500 }
```

### Example output (search)

```json
{
    "keyword": "수세미",
    "position": 1,
    "totalResults": 233,
    "productNo": "B202604015358",
    "name": "옥수수 망사 수세미",
    "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": "주방용품",
    "categoryMiddle": "주방잡화",
    "categorySmall": "수세미/병솔",
    "isSoldOut": false,
    "isNew": false,
    "onlineOnly": true
}
```

### Example output (review)

```json
{
    "productNo": "B202604015358",
    "productName": "옥수수 망사 수세미",
    "reviewId": 9304782,
    "totalReviews": 12835,
    "rating": 5,
    "text": "제품 마음에 들어요 찾고있는 제품인데 잘 사용할게요",
    "date": "2026-09-03",
    "authorMasked": "dms*******",
    "isRepurchase": false,
    "attributes": [
        { "name": "두께", "answer": "보기보다 두꺼워요" },
        { "name": "촉감", "answer": "생각보다 부드러워요" }
    ],
    "images": ["https://www.daisomall.co.kr/file/PD/20260903/....jpeg"]
}
```

### Why this Actor

- **Built by a Korean marketing practitioner** — I work with Korean retail and e-commerce daily, so the data model reflects how the platform actually works
- **Fast and affordable** — lightweight HTTP, no headless browser
- **Privacy-aware** — author IDs come pre-masked by the platform; no personal data is collected

### FAQ

**Do I need a Korean IP or account?** No login is used; the default Apify proxy works.

**Can I schedule it?** Yes — 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 — I respond quickly.

### More Korean data Actors by me

- [Olive Young Scraper](https://apify.com/cocomoon/oliveyoung-scraper) — K-beauty product search with prices, ratings and review counts.
- [Olive Young Reviews Scraper](https://apify.com/cocomoon/oliveyoung-review-scraper) — K-beauty customer reviews with skin type/tone/concern profiles and repurchase flags.

More Korean-platform Actors are on the way.

***

*Keywords: Daiso scraper, daisomall.co.kr, Daiso Korea products, Daiso beauty dupes, Korean retail data, Daiso reviews API, K-lifestyle trends, 다이소 스크레이퍼, 다이소몰 데이터*

# Actor input Schema

## `mode` (type: `string`):

What to scrape: <b>search</b> — products by keyword with prices, ratings, review counts and total units sold; <b>reviews</b> — customer reviews of specific products (text, stars, photos, repurchase flag, attribute ratings).

## `keywords` (type: `array`):

Keywords to search for (search mode only). Korean works best — e.g. <code>수세미</code>, <code>수납</code>, <code>화장품</code>.

## `products` (type: `array`):

Product numbers (e.g. <code>B202604015358</code>) or product URLs (reviews mode only). Get product numbers from a search-mode run (<code>productNo</code> field).

## `maxItems` (type: `integer`):

Maximum number of items to scrape in total (across all keywords/products).

## `maxReviewsPerProduct` (type: `integer`):

Reviews mode only: cap the number of reviews collected for each product.

## `proxyConfiguration` (type: `object`):

Proxies to use. The default Apify proxy works fine in most cases.

## Actor input object example

```json
{
  "mode": "search",
  "keywords": [
    "수세미"
  ],
  "products": [
    "B202604015358"
  ],
  "maxItems": 100,
  "maxReviewsPerProduct": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "수세미"
    ],
    "products": [
        "B202604015358"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("cocomoon/daiso-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": ["수세미"],
    "products": ["B202604015358"],
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("cocomoon/daiso-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "수세미"
  ],
  "products": [
    "B202604015358"
  ],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call cocomoon/daiso-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,cocomoon/daiso-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/jv41NWmKY9t05fy5X/builds/fBKM2T0shDdjh6xhZ/openapi.json