We extract luxury beauty listings, ingredient lists, shade mappings, pricing signals, and reviews from Space NK. 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 spacenk.com. All fields typed and schema-versioned.
"sku": "UK200027192", "name": "C-Firma Fresh Day Serum", "brand": "Drunk Elephant", "price": 70.0, "size_ml": "28ml", "stock_status": "in_stock", "rating": 4.2, "is_vegan": true
| # | sku | name | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Shade Variants objects from spacenk.com. All fields typed and schema-versioned.
"parent_sku": "UK200034511", "variant_sku": "UK200034515", "shade_name": "Light Medium 14", "hex_code": "#D2A88A", "price": 28.0, "stock_status": "low_stock", "is_bestseller": true, "scraped_at": "2026-05-12T08:11:22Z"
| # | parent_sku | variant_sku | shade_name | hex_code | price | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Promos objects from spacenk.com. All fields typed and schema-versioned.
"sku": "UK200027192", "current_price": 56.0, "original_price": 70.0, "discount_pct": 20, "promotion_text": "20% off selected skincare", "ndulge_points_earned": 56, "currency": "GBP", "timestamp": "2026-05-12T08:15:00Z"
| # | sku | current_price | original_price | discount_pct | promotion_text | ndulge_points_earned |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from spacenk.com. All fields typed and schema-versioned.
"review_id": "REV-992817", "sku": "UK200027192", "rating": 5, "title": "Brightens instantly", "verified_buyer": true, "helpful_votes": 14, "skin_type": "Combination", "date": "2026-04-10"
| # | review_id | sku | author | rating | title | body |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Brand Catalogues objects from spacenk.com. All fields typed and schema-versioned.
"brand_name": "Rare Beauty", "brand_slug": "rare-beauty", "product_count": 84, "categories_present": "['Makeup', 'Brushes & Tools', 'Bodycare']", "top_sku": "UK200034511", "description": "Created by Selena Gomez, Rare Beauty challenges unrealistic standards of perfection.", "scraped_at": "2026-05-12T08:10:00Z"
| # | brand_name | brand_slug | product_count | categories_present | top_sku | description |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Space NK scraper navigates complex shade matrices, dynamic pricing rules, and paginated review modules. We handle the JavaScript rendering and anti-bot layers automatically.
Extract every foundation, concealer, and lip shade linked to a parent SKU, including hex codes, specific pricing, and individual stock status.
Parse full INCI ingredient lists into structured arrays. Identify active ingredients, allergens, and formulation details.
Track base prices, promotional discounts, and NDulge reward point calculations across regional storefronts.
Monitor out-of-stock, low-stock, and back-in-stock indicators at the variant level to optimise replenishment models.
Extract review text, star ratings, and user metadata including declared skin type, tone, and age range.
Monitor brand landing pages for new product launches, discontinued lines, and category expansion.
Extract data across UK, US, and EU storefronts to compare regional pricing, availability, and exclusive launches.
Capture 'How to Use' instructions and routine recommendations for NLP analysis and content generation.
Run continuous pipelines that detect price changes and new reviews without re-downloading the entire catalogue.
Brief in. Clean data out.
Provide brand names, category URLs, or specific SKUs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for spacenk.com.
Schema validation, null-rate checks, and sample shade matrices before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Space NK utilises dynamic frontend frameworks and strict rate limiting. Here is how we ensure data consistency.
Space NK loads variant data, pricing updates, and stock status via client-side JavaScript. We execute full Playwright browser sessions to ensure all shade matrices and promotional banners render completely before extraction.
Aggressive crawling triggers WAF blocks and CAPTCHA challenges. Our infrastructure routes requests through UK and US residential proxies with randomised timing and realistic TLS fingerprints to maintain uninterrupted access.
Retailers frequently update product page layouts for campaigns. We use fallback chains involving CSS, XPath, and JSON-LD structured data to ensure ingredient lists and pricing fields remain populated during UI changes.
Product reviews are paginated and loaded dynamically. Our crawlers iterate through all available review pages, capturing historical feedback and user metadata without stalling on async API calls.
We maintain a hash index of product states. Subsequent pipeline runs only emit records where price, stock status, or promotional text has changed, reducing downstream processing load.
Beauty retailers track Space NK pricing, discount events, and NDulge promotions to adjust their own pricing strategies.
Luxury beauty brands audit retail pricing to ensure Minimum Advertised Price agreements are maintained across regions.
Formulators and cosmetic chemists analyse INCI lists across top-selling products to identify emerging active ingredients.
Marketing teams extract review corpora to understand customer complaints, packaging issues, and skin-type specific feedback.
Retail analysts track brand presence, category expansion, and shade range inclusivity to inform procurement decisions.
Supply chain teams monitor out-of-stock indicators on trending products to anticipate demand surges.
"Space NK holds the definitive catalogue for luxury beauty and skincare, but extracting clean ingredient taxonomy and shade matrices requires dedicated pipeline infrastructure."
Most teams underestimate the investment required: reliable Space NK scraping demands residential proxies, full JavaScript rendering for shade selectors, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis.
Everything supported by our spacenk.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 manages JavaScript execution for shade selectors and dynamic pricing components.
We maintain pools of residential ISP proxies across UK and US regions. Rotation happens per-request to bypass rate limits and WAF blocks.
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 spacenk.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and review data is generally permissible. DataFlirt targets only public, non-authenticated catalogue data. We do not extract personal user data or circumvent authentication walls.
We map all child SKUs to their parent product. Each shade variant is extracted as a distinct record containing its specific price, stock status, shade name, and hex colour code.
Yes. We target the specific DOM elements containing the INCI ingredient lists and extract the text block, which can be delivered as a raw string or parsed into an array depending on your schema requirements.
We support spacenk.com/uk, spacenk.com/us, and other regional subdirectories. Data is normalised to standardise currency and pricing fields across regions.
We can configure pipelines to run daily or at higher frequencies for specific high-priority brands or SKUs. Change-detection ensures you only process actual updates.
Yes. We provide a sample run of specific brands or categories 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 ingredient catalogue dump or continuous price monitoring across all luxury brands — we scope, build, and operate the pipeline. Tell us what you need.
