We extract product listings, sizing matrices, WOW member pricing, Rocket Delivery eligibility, and review data from Coupang Fashion. 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 coupangfashion.com. All fields typed and schema-versioned.
"product_id": "78492011", "title": "Oversized Cotton Blend Trench Coat", "brand": "C.Avenue Essentials", "gender": "Women", "rocket_eligible": true, "rating": 4.6, "review_count": 1204
| # | product_id | title | brand | category | sub_category | gender |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Offers objects from coupangfashion.com. All fields typed and schema-versioned.
"product_id": "78492011", "base_price": 89000.0, "discount_price": 75000.0, "wow_member_price": 69000.0, "discount_pct": 15, "card_discount_eligible": true, "currency": "KRW"
| # | product_id | base_price | discount_price | wow_member_price | discount_pct | card_discount_eligible |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Sizing & Variants objects from coupangfashion.com. All fields typed and schema-versioned.
"variant_id": "V99281A", "colour": "Beige", "size": "M", "stock_status": "IN_STOCK", "stock_quantity": 42, "model_height": "172cm", "model_size_worn": "S"
| # | product_id | variant_id | colour | size | stock_status | stock_quantity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Fit Data objects from coupangfashion.com. All fields typed and schema-versioned.
"review_id": "R8829102", "rating": 5, "fit_feedback": "True to size", "reviewer_height": "165cm", "reviewer_weight": "52kg", "review_text": "Perfect length and the material feels premium.", "review_date": "2026-03-14"
| # | review_id | product_id | reviewer_name | rating | fit_feedback | quality_feedback |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Seller & Shipping objects from coupangfashion.com. All fields typed and schema-versioned.
"seller_id": "S449102", "seller_name": "Seoul Trend Apparel", "seller_rating": 4.8, "rocket_delivery": true, "shipping_fee": 0, "free_shipping_threshold": 19800, "return_policy": "Free returns within 30 days for WOW members"
| # | seller_id | seller_name | seller_rating | rocket_delivery | rocket_fresh | shipping_fee |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Coupang Fashion scraper handles dynamic variant loading, WOW pricing structures, and complex sizing matrices with built-in translation and bot circumvention.
Extract every size and colour combination per product. Track stock depth and variant-specific pricing accurately.
Capture standard prices, discount rates, and WOW member exclusive pricing tiers across the entire catalogue.
Parse structured review data including reviewer height, weight, and standard fit feedback parameters to optimise your own sizing.
Monitor Rocket Delivery, Rocket Wow, and standard shipping eligibility to map logistics advantages.
Track premium brand presence, authorized seller status, and official boutique listings within the C.Avenue ecosystem.
Download main product images, variant swatches, and detailed specification graphics directly to your S3 bucket.
Clean extraction of Korean text fields with optional translation pipelines for material composition and care instructions.
Extract seller business details, feedback ratings, and return policies to monitor marketplace competition.
Run pipelines daily or hourly. Receive only the records that changed to minimise downstream processing overhead.
Brief in. Clean data out.
Provide Coupang category URLs, search terms, or brand names. We map the required data fields.
We configure Playwright crawlers, proxy rotation, and session management to navigate Coupang's bot protection.
We verify variant mapping, pricing accuracy, and null-rate thresholds before production launch.
Structured data pushed to your S3 bucket, BigQuery dataset, or via Webhook on your defined schedule.
Coupang deploys aggressive scraping countermeasures and complex frontend architectures. We manage the infrastructure so you receive clean data.
Coupang strictly filters non-Korean traffic. We route all requests through high-reputation South Korean residential proxies to maintain access and retrieve accurate localized pricing.
Product variants, reviews, and dynamic pricing load asynchronously. We execute full Playwright browser sessions to hydrate the DOM and capture data that basic HTTP requests miss.
Fashion listings feature nested size and colour options. Our pipeline iterates through all available combinations to map stock status and variant-specific pricing accurately.
We bypass Coupang's security layers using realistic browser fingerprints, randomized interaction delays, and automated CAPTCHA solving via CapSolver.
Material composition and care instructions are often embedded in images or unstructured text. We parse and normalise these fields into queryable database columns.
Retailers monitor Coupang's aggressive pricing and WOW member discounts to adjust their own pricing strategies.
Fashion analysts track category rankings and review velocity to identify emerging styles in the South Korean market.
Apparel brands aggregate customer height, weight, and fit feedback to optimise their own manufacturing dimensions.
Global brands audit unauthorised sellers, monitor MAP compliance, and track grey market distribution.
Marketplace sellers track competitor stock depth, shipping speeds, and review sentiment to find market gaps.
Merchandisers analyse material trends and colour popularity across top-ranking products to guide inventory decisions.
"Coupang dictates the pace of South Korean e-commerce. Accessing its pricing and variant data requires highly specialised infrastructure."
Extracting apparel data from Coupang involves navigating strict geographic blocks, complex React frontends, and multi-dimensional variant arrays. DataFlirt manages the proxies, the JavaScript rendering, and the extraction logic so your team can focus on merchandising and analysis.
Everything supported by our coupangfashion.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
We use Playwright to execute JavaScript, handle asynchronous variant loading, and simulate human interaction patterns to bypass Coupang's bot detection.
Traffic is routed exclusively through South Korean residential IP pools. We monitor IP health continuously to prevent blocks and ensure reliable access.
Pipelines are scheduled via Apache Airflow and executed on Kubernetes clusters, allowing us to scale extraction volume during peak promotional periods.
Data delivered to where your team already works — no new tooling required.
About coupangfashion.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Our pipelines capture the publicly displayed WOW member pricing tiers, base prices, and standard discount rates directly from the product listing pages.
We utilize high-quality South Korean residential proxies exclusively for Coupang pipelines. This ensures our requests appear as legitimate local traffic and bypass region-based restrictions.
We extract the native Korean text by default. If required, we can integrate an automated translation step in the pipeline to deliver English values for materials, care instructions, and reviews.
Yes. We iterate through the variant selection matrix to determine the in-stock or out-of-stock status for every specific size and colour combination.
Pipelines can be scheduled daily, weekly, or at custom intervals. For critical pricing intelligence, we can configure high-frequency runs on specific ASIN equivalents.
Yes. We paginate through product reviews to extract text, star ratings, and valuable structured data like reviewer height, weight, and fit feedback.
20-minute scoping call. Pilot dataset within the week. Production within two. From daily pricing intelligence to comprehensive sizing analytics, we build and maintain the infrastructure. Specify your target categories and we deliver the data.
