We extract product listings, ingredient profiles, skin-type metadata, pricing signals, and customer reviews from Soko Glam. 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 sokoglam.com. All fields typed and schema-versioned.
"product_id": "8492018392", "title": "Advanced Snail 96 Mucin Power Essence", "brand": "COSRX", "routine_step": "Essence", "price": 25.0, "rating": 4.8, "is_best_seller": true, "award_winner": true
| # | product_id | url | title | brand | category | routine_step |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Ingredients objects from sokoglam.com. All fields typed and schema-versioned.
"product_id": "8492018392", "key_ingredients": "['Snail Secretion Filtrate', 'Sodium Hyaluronate']", "is_vegan": false, "is_cruelty_free": true, "free_of_parabens": true, "free_of_artificial_fragrance": true, "ph_level": "6.5"
| # | product_id | key_ingredients | full_ingredient_list | is_vegan | is_cruelty_free | free_of_parabens |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Inventory objects from sokoglam.com. All fields typed and schema-versioned.
"product_id": "8492018392", "price": 25.0, "compare_at_price": 25.0, "discount_percentage": 0, "in_stock": true, "stock_status_message": "In Stock", "scraped_at": "2026-05-12T10:15:00Z"
| # | product_id | price | compare_at_price | discount_percentage | currency | in_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews objects from sokoglam.com. All fields typed and schema-versioned.
"review_id": "REV-93821", "product_id": "8492018392", "rating": 5, "review_title": "Holy grail product", "reviewer_skin_type": "Combination", "reviewer_age_range": "25-34", "created_at": "2026-04-20T14:22:11Z"
| # | review_id | product_id | author_name | rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Brand Data objects from sokoglam.com. All fields typed and schema-versioned.
"brand_name": "COSRX", "brand_url": "/collections/cosrx", "product_count": 42, "country_of_origin": "South Korea", "is_cruelty_free": true, "featured_collections": "['Acne Care', 'Snail Mucin']"
| # | brand_id | brand_name | brand_url | description | product_count | country_of_origin |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Soko Glam scraper handles complex product hierarchies, ingredient parsing, and dynamic inventory states with anti-bot circumvention built in.
Capture title, brand, category, and routine step mapping for every item in the catalogue.
Extract full ingredient strings alongside key active ingredients and chemical exclusion tags.
Map products to specific skin concerns: dry, oily, combination, sensitive, or acne-prone.
Track base price, compare-at price, active discounts, and promotional banner text.
Monitor out-of-stock statuses and restock patterns across specific brands or categories.
Extract review text, ratings, and critical reviewer metadata like skin type and age range.
Identify products tagged with historical and current Best of K-Beauty award badges.
Isolate extraction to specific brands to monitor competitor assortment and pricing.
Categorise items strictly by the 10-step Korean skincare routine framework.
Brief in. Clean data out.
Provide target brands, categories, or the full catalogue. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for sokoglam.com.
Schema validation, null-rate checks, and ingredient string normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Retailers protect pricing and inventory data. We maintain access via distributed infrastructure.
Soko Glam relies on standard eCommerce frameworks. We bypass brittle DOM scraping by targeting backend JSON endpoints where available, ensuring cleaner data and lower breakage rates.
Inventory states change rapidly during sales. We execute JavaScript to capture the true stock status rather than relying on cached HTML.
We route requests through US-based residential IPs to avoid datacenter blocks and rate limiting enforced by standard CDN security layers.
We traverse third-party review widget APIs to extract the complete historical review corpus, not just the first page of results.
E-commerce themes update frequently. Our telemetry detects structural changes and alerts our engineers before null values reach your warehouse.
Beauty retailers monitor Soko Glam pricing and discount strategies to adjust their own promotional calendars.
Formulators track trending active ingredients and exclusion claims across top-selling K-beauty products.
Market analysts track review velocity and out-of-stock rates to identify emerging brands and product categories.
K-beauty brands audit their own product representation, pricing compliance, and customer sentiment on the platform.
Buyers analyse category depth and brand presence to optimise their own retail inventory.
Data science teams train skincare matching algorithms using Soko Glam skin type and routine step metadata.
"Soko Glam curates the definitive K-beauty catalogue. Accessing their ingredient metadata and routine categorisation at scale requires a dedicated extraction pipeline."
Retail scraping goes beyond simple HTML parsing. Extracting structured ingredient lists, mapping products to the 10-step routine, and tracking real-time inventory requires residential proxies, session management, and continuous schema monitoring. DataFlirt handles the infrastructure so your team can focus on market analysis.
Everything supported by our sokoglam.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 and deduplication. Playwright handles JavaScript rendering for dynamic inventory and review widgets.
We maintain pools of residential ISP proxies. Rotation happens per-request to bypass basic CDN blocking.
Pipelines run on AWS infrastructure. 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 sokoglam.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product and pricing information is generally permissible. DataFlirt extracts only public, non-authenticated data. We do not extract personal user data or bypass login walls.
Pipelines can be configured to run daily or hourly. Inventory status reflects the exact state at the timestamp of extraction.
Yes. We capture the complete ingredient string and can structure it into arrays for easier downstream analysis.
Yes. When users provide their skin type, age range, or specific concerns in their reviews, we extract those fields alongside the review text.
Yes. We can scope the pipeline to monitor specific brands rather than the entire catalogue.
Our minimum engagement covers a full catalogue refresh delivered weekly. Contact us for high-frequency pricing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous price-monitoring across K-beauty brands, we scope, build, and operate the pipeline.
