We extract gadget listings, T-Membership pricing signals, seller intelligence, and consumer reviews from 11st.co.kr. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Listings objects from 11st.co.kr. All fields typed and schema-versioned.
"product_no": "3498127451", "title": "Samsung Galaxy S24 Ultra 256GB Unlocked", "brand": "Samsung", "category_depth_1": "Digital/Home Appliances", "base_price": 1698400, "discount_price": 1548400, "stock_status": "in_stock", "rating": 4.8, "review_count": 1423
| # | product_no | title | brand | manufacturer | category_depth_1 | category_depth_2 |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Deals objects from 11st.co.kr. All fields typed and schema-versioned.
"product_no": "3498127451", "base_price": 1698400, "discount_pct": 8, "shocking_deal_active": false, "coupon_available": true, "card_discount_pct": 5, "delivery_fee": 0, "price_timestamp": "2026-05-12T09:14:00Z"
| # | product_no | base_price | discount_pct | shocking_deal_active | coupon_available | card_discount_pct |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from 11st.co.kr. All fields typed and schema-versioned.
"review_id": "REV_984123", "product_no": "3498127451", "reviewer_id": "kim****", "rating": 5, "review_text": "Delivery was fast and the device condition is perfect.", "date_posted": "2026-04-18", "helpful_votes": 12, "option_purchased": "Color: Titanium Black"
| # | review_id | product_no | reviewer_id | rating | review_text | photo_urls |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seller Data objects from 11st.co.kr. All fields typed and schema-versioned.
"seller_id": "samsung_auth", "seller_name": "Samsung Authorized Dealer", "satisfaction_rating": 98.5, "delivery_score": 99.1, "response_rate": 95.0, "business_reg_num": "120-81-47521", "active_items_count": 450, "power_seller_badge": true
| # | seller_id | seller_name | store_url | satisfaction_rating | delivery_score | response_rate |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from 11st.co.kr. All fields typed and schema-versioned.
"keyword": "wireless earbuds", "rank_position": 1, "product_no": "293847162", "sponsored": true, "power_listing": false, "price": 189000, "review_count": 3412, "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | rank_position | product_no | title | sponsored | power_listing |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our scraper handles the complexities of the Korean e-commerce ecosystem: dynamic discount layers, Shocking Deals, card-specific pricing, and localized anti-bot measures.
Extract detailed technical specs for smartphones, laptops, and home appliances directly from the structured metadata tables.
Capture base price, coupon discounts, credit card specific discounts, and T-Membership deductions to calculate the true final price.
Monitor limited-time 'Shocking Deal' (쇼킹딜) placements, tracking discount depth and expiry windows.
Extract text reviews, star ratings, and user-uploaded photo/video URLs across all paginated review endpoints.
Track seller satisfaction scores, delivery performance metrics, and Power Seller status for every listing.
Monitor organic versus sponsored search positions for high-value electronics keywords.
Identify listings eligible for 11st Global shipping and extract international delivery fee structures.
Map complex product options (colour, storage capacity) to their specific price increments and stock levels.
Run pipelines at hourly cadences to catch flash sales and competitor repricing events in real time.
Brief in. Clean data out.
Provide product URLs, category IDs, or search keywords. We design the extraction schema together.
We configure Scrapy crawlers, Korean residential proxies, and JavaScript rendering for 11st.co.kr.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Korean e-commerce platforms deploy aggressive geo-blocking and dynamic rendering. Here is how we maintain data flow.
11st.co.kr aggressively blocks non-Korean IP ranges and data centre traffic. We route all requests through high-reputation Korean residential ISP proxies to ensure consistent access and prevent IP bans.
Final prices on 11st.co.kr are calculated client-side based on available coupons and card promotions. We use headless Playwright browsers to execute the JavaScript and capture the fully rendered price state.
Platform layout changes are frequent during major sales events. Our extraction logic relies on multiple fallback chains, including targeting the underlying JSON data objects embedded in the page source.
We maintain a hash index of last-seen values per product. Subsequent runs only push diffs, reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes and schema drift, responding before you notice.
Electronics brands monitor competitor pricing, including hidden coupon discounts, to adjust their own pricing strategies.
Manufacturers track unauthorized sellers breaking Minimum Advertised Price agreements across the marketplace.
Analysts track category saturation and new product launches within the Korean consumer electronics sector.
ML teams use structured Korean product descriptions and review text to train localized NLP models.
Supply chain teams correlate review velocity and out-of-stock indicators to predict hardware demand.
Brands analyze competitor seller ratings and delivery performance to identify operational weaknesses.
"11st.co.kr holds the pricing signals for Korea's electronics market, but extracting accurate final prices requires navigating complex discount layers."
Most teams fail to parse 11st.co.kr because they miss the layered discount structures: base price, card-specific discounts, and T-Membership deductions. We render the full JavaScript application, apply localized Korean residential proxies, and extract the exact final price your competitors are offering.
Everything supported by our 11st.co.kr scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and retry logic. Playwright handles JavaScript rendering and interaction flows for complex pricing widgets.
We maintain dedicated pools of Korean residential ISP proxies. Rotation happens per-request to bypass strict regional blocking.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About 11st.co.kr scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product and pricing information is generally permissible. DataFlirt targets only public, non-authenticated data. We do not extract personal user data or circumvent authentication walls.
We route all traffic through high-quality Korean residential proxies. This ensures our requests appear as legitimate local user traffic, bypassing data centre IP blocks.
Yes. We use JavaScript rendering to load the dynamic pricing modules, allowing us to extract the base price, coupon discounts, and card-specific offers.
Yes. We can monitor specific categories for Shocking Deal (쇼킹딜) placements and track their duration and discount depth.
Our minimum engagement starts at a defined list of 5,000 product URLs or specific category paths with daily delivery cadences.
Yes. We provide a sample run of up to 500 products during the scoping phase to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off electronics catalogue dump or continuous price monitoring across thousands of SKUs, we build and operate the pipeline.
