We extract K-beauty product listings, ingredient matrices, global pricing, and review corpuses from Olive Young. 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 oliveyoung.com. All fields typed and schema-versioned.
"product_id": "A000000159432", "title": "Round Lab Birch Juice Moisturizing Sun Cream 50ml", "brand": "Round Lab", "price": 28.0, "currency": "USD", "discount_pct": 15, "in_stock": true, "skin_type": "All Skin Types"
| # | product_id | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ingredients & Specs objects from oliveyoung.com. All fields typed and schema-versioned.
"product_id": "A000000159432", "brand": "Round Lab", "key_ingredients": "['Betula Platyphylla Japonica Juice', 'Niacinamide', 'Hyaluronic Acid']", "vegan_certified": true, "cruelty_free": true, "skin_concerns": "['Dryness', 'UV Protection']"
| # | product_id | brand | product_name | full_ingredient_list | key_ingredients | allergens |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from oliveyoung.com. All fields typed and schema-versioned.
"review_id": "REV_9384719", "product_id": "A000000159432", "rating": 5.0, "skin_type_profile": "Combination / Sensitive", "purchase_verified": true, "helpful_votes": 142, "date": "2026-03-12"
| # | review_id | product_id | author | rating | skin_type_profile | purchase_verified |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Promotions objects from oliveyoung.com. All fields typed and schema-versioned.
"product_id": "A000000159432", "base_price": 32.94, "sale_price": 28.0, "discount_pct": 15, "promotion_name": "Spring Skincare Sale 1+1", "global_shipping_eligible": true, "scraped_at": "2026-05-14T08:12:00Z"
| # | product_id | base_price | sale_price | discount_pct | promotion_name | global_shipping_eligible |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Category Rankings objects from oliveyoung.com. All fields typed and schema-versioned.
"category_name": "Suncare", "rank_position": 1, "product_id": "A000000159432", "brand": "Round Lab", "trend_indicator": "UP", "scraped_at": "2026-05-14T08:15:22Z"
| # | category_id | category_name | rank_position | product_id | brand | title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Olive Young scraper navigates region-specific storefronts, dynamic pricing, ingredient matrices, and the extensive review corpus — with JavaScript rendering and anti-bot circumvention built in.
Title, brand, volume, skin type suitability, and every metadata field Olive Young surfaces — scraped at the product level.
Extract full INCI lists, key active ingredients, allergen warnings, and vegan/cruelty-free certifications directly from product pages.
Track base price, sale price, and promotional discounts across USD and KRW regional storefronts.
Full review text, star ratings, helpful vote counts, and user skin profiles (e.g., Dry/Sensitive) — paginated across all review pages.
Capture historical and current award badges to identify top-performing products validated by the retailer.
Extract all colour variants, shade names, and specific stock levels for cosmetics and makeup lines.
Monitor out-of-stock flags and restock indicators to track demand velocity.
Identify 1+1 deals, seasonal sales events, and special brand week promotions across the catalogue.
Run continuous pipelines at daily or real-time cadences with change-detection diffing to save compute and storage.
Brief in. Clean data out.
Provide brand names, category URLs, or keyword sets. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for oliveyoung.com.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting data from major Korean retailers requires region-specific routing and dynamic content handling. Here's how we stay resilient.
Olive Young serves different pricing and availability based on geographic IP. Our crawlers use residential ISP proxies localized to South Korea or the US to ensure accurate data capture and bypass regional blocking.
Product reviews, shade selectors, and promotional banners are heavily JavaScript-rendered. We run full Playwright browser sessions to trigger lazy-loads and hydrate dynamic elements.
Retail DOM structures change frequently during major sale events. Our selector strategy uses multiple fallback chains per field — CSS selectors, XPath, and text-pattern matching.
For large product catalogues, we maintain a hash index of last-seen values per field. 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, price outliers, and coverage drops — responding before you notice.
Beauty brands and distributors monitor global pricing and promotional events to optimise their own pricing strategies.
R&D teams analyse ingredient lists and review sentiments to identify emerging K-beauty trends and formulation preferences.
Cosmetics companies track their brand ranking, review volume, and Olive Young Awards performance against competitors.
New brands analyse category saturation, average price points, and top-selling variants to plan effective market entry.
Supply chain teams correlate category rankings and stock depth indicators with sales velocity to improve procurement models.
Wholesalers track price discrepancies between the Korean domestic market and global storefronts to identify arbitrage opportunities.
"Olive Young dictates the global K-beauty market, but extracting structured ingredient matrices and review sentiment requires dedicated infrastructure."
Most teams underestimate the investment required: reliable Olive Young scraping requires KR-based residential proxies, full JavaScript rendering for dynamic content, CAPTCHA handling, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our oliveyoung.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.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across KR and US regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About oliveyoung.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Olive Young is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies tailored to target regions, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains to handle UI updates.
We support both the global storefront (oliveyoung.com) and the domestic Korean site (oliveyoung.co.kr), allowing you to track pricing disparities and regional product availability.
Pipelines can be configured for daily refreshes to capture 24-hour promotional cycles, or intra-day cadences for specific high-velocity categories.
Yes. We extract full INCI lists, key active ingredients, and specific certifications (vegan, cruelty-free) directly from the product detail pages.
Our smallest packages start at a defined brand list or category subset with weekly delivery. For full-catalogue tracking, we price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across K-beauty brands — we scope, build, and operate the pipeline. Tell us what you need.
