Online store scraping

Scraping general online stores in South Korea — price & assortment monitoring

Department and multi-category stores in South Korea: catalogs, prices and stock across all departments.

12 stores in this list Category: general / Department Geography: South Korea

Multi-category retail in South Korea is a convenient analytics entry point: one collection covers several product verticals. Scraping lays the assortment out along the category tree with prices, discounts and stock.

There are 12 platforms here, led by SSG.com, Lotte ON, CJ ONSTYLE by domain authority. Site size is not a constraint: catalogs with hundreds of thousands of SKUs and small stores are normalized to the same field schema, making sellers directly comparable.

Shelves in this list carry Samsung, LG, Dyson, Nike, Adidas, Apple and other brands — every product is linked to its brand in the feed, so you can track brand presence and pricing across sellers.

Delivery is tailored to the task: from a one-off Excel/CSV file to a stream of updates via API or into your DBMS. We start with a free data sample — you verify structure and quality before any payment.

data structure

Fields we collect: General / Department

The baseline set for this category — extended to fit your task.

01
Product

title, brand, category with tree path, URL

02
Prices

current and old price, discount, promo

03
Variants

sizes, colours, versions — where applicable

04
Availability

status, stock, delivery times

05
Attributes

card attributes according to product type

06
Reviews

rating and review count

why business needs it

Jobs this scraping gets done

Cross-category monitoring

Competitor prices across several departments at once.

Assortment map

The category tree and each department’s saturation.

Promo analytics

Discount campaigns and their depth by department.

Novelty monitoring

New categories and products as they appear.

Stores in this category in South Korea

Ranked by domain authority — price scraping and scheduled price monitoring are available for any platform below.

# Store Domain DR
1
SSG.com
ssg.com 76
2
Lotte ON
lotteon.com 71
3
CJ ONSTYLE
cjonstyle.com 65
4
GS Shop
gsshop.com 63
5
Costco Korea
costco.co.kr 60
6
Lotte iMall
lotteimall.com 59
7
Daiso Mall
daisomall.co.kr 58
8
Hyundai Hmall
hmall.com 58
9
The Hyundai
thehyundai.com 54
10
NS Mall
nsmall.com 49
11
AK Mall
akmall.com 48
12
Home&Shopping
hnsmall.com 46

DR (Domain Rating) — domain authority on a 0–100 scale; it reflects link-profile strength, not sales.

top platforms

Top platforms: what gets scraped

Quick notes on the leaders of this list — any of them can be plugged into the same field structure.

SSG.com scraper: what we collect

From SSG.com we usually extract product, prices, variants. The export arrives in the same structure as the rest of this list, so the data compares directly.

Lotte ON data: catalog and prices

From Lotte ON we usually extract prices, variants, availability. The export arrives in the same structure as the rest of this list, so the data compares directly.

CJ ONSTYLE scraper: what we collect

From CJ ONSTYLE we usually extract variants, availability, attributes. The export arrives in the same structure as the rest of this list, so the data compares directly.

GS Shop data: catalog and prices

From GS Shop we usually extract availability, attributes, reviews. The export arrives in the same structure as the rest of this list, so the data compares directly.

Scraping Costco Korea

From Costco Korea we usually extract attributes, reviews, product. The export arrives in the same structure as the rest of this list, so the data compares directly.

how we work

From request to first delivery

01

Scope the task

We fix the stores, fields, catalog depth and refresh frequency.

02

Free sample

A data fragment in the agreed structure — before any payment.

03

Collect & validate

Full collection with completeness and consistency checks.

04

Deliver & refresh

File, API or database — refreshed on your schedule.

questions & answers

Frequently asked questions

Can we collect only part of the catalog?
Yes, collection can be limited to departments or categories — you pay only for the data you need.
How do you handle heterogeneous department attributes?
Common fields are normalised; category-specific attributes are preserved per product type — nothing is lost.
Is the feed comparable with niche stores?
Yes, the field structure matches our category feeds — department-store data compares directly with specialist stores.
request data

Need scraping of general online stores?

Describe the task — we will set up a price scraper for it, propose the field set and refresh cadence, and send a free data sample for the stores you pick.

We'll respond within one business day.