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Beauty data — shade, ingredient, dupe
Beauty isn't generic e-commerce. A foundation has 40+ shades, each with its own OOS state. Skincare competes on ingredient claims. Dupes appear weekly. We capture all of it across Sephora, Nykaa, Ulta, Boots and beyond.
Beauty-specific fields, structured.
Shade tree, INCI ingredients, finish & coverage tags, dupe-detection signals.
Shade-level matching
Per-shade name, hex/swatch, undertone tag, light/medium/deep range bucket.
Shade-level OOS
Which shades go out first — the most predictive demand signal in colour cosmetics.
INCI ingredient list
Full ingredient list as structured field. Top-6 actives flagged. Allergen tags.
Product attributes
Finish (matte/dewy/satin), coverage (light/medium/full), SPF, vegan/cruelty-free flags.
Clean & conscious tags
Clean at Sephora, Beauty Without Bunnies, Leaping Bunny, Ecocert — certifications tagged.
Reviews & sentiment
Star rating, review count, photo-review presence, skin-type review breakdowns.
Pricing & promos
Standard price, sale price, member-tier (Beauty Insider, Nykaa Prive) pricing.
New launches
New SKU detection with first-seen timestamps — including limited-edition & collab drops.
Dupe candidates
Ingredient-overlap + shade-similarity scoring against your portfolio — surface dupes weekly.
What makes beauty data different.
Shade tree, not URL tree
One foundation with 40 shades is one product, not 40. Variant tree preserved for proper SKU-level analytics.
Ingredient-first matching
Dupe detection runs on ingredient overlap, not titles. We extract INCI lists wherever retailers expose them.
Limited-drop awareness
Collabs, holiday limited editions, influencer-co drops detected the day they hit catalogue.
Member-tier transparency
Beauty Insider, Nykaa Prive, Boots Advantage tier prices tagged separately for MAP audits.
What beauty brands do with this data.
Shade demand patterns
Which shades sell out fastest by region — plan production & allocation.
Dupe monitoring
Track competitor & private-label dupes against your hero formulas, weekly.
Ingredient compliance
Verify clean / vegan / cruelty-free claims hold across all retail channels.
Sephora vs Ulta parity
Daily pricing parity across the US specialty-beauty duopoly.
Influencer-launch tracking
Catch celebrity / influencer-brand launches the day they go live.
K-beauty trend scouting
What's hitting Stylevana / YesStyle this week — track ahead of Western launches.
Member-tier MAP audit
Beauty Insider / Prive prices breaking MAP? Caught separately from base price.
Sale-event planning
Sephora Sale, Ulta 21 Days, Nykaa Pink Sale historical discount patterns.
Review sentiment shifts
Skin-type review patterns — spot formula complaints before they go viral.
From brief to beauty dataset in 24 hours.
Send scope
Brand list or category, retailers, shade-level depth need, INCI requirement.
Free sample
Within 24h, sample with shade-tree + ingredient data for validation.
Production pipeline
QA'd pipeline with sale-event ramps & member-tier capture configured.
Run & iterate
Scheduled refreshes, dupe-alert webhooks, named delivery lead.
Beauty scraping FAQs
Specialty beauty: Sephora (US/EU/SEA), Ulta, Nykaa, Tira (Reliance), Cult Beauty, Space NK, Mecca (AU). Pharmacy beauty: Boots, Walgreens, CVS, Chemist Warehouse, Priceline. Marketplaces: Amazon Beauty, Flipkart Beauty, Myntra Beauty. Plus K-beauty platforms (Stylevana, YesStyle) and brand storefronts.
Yes — foundations, concealers, lipsticks captured at shade-level with shade-name, undertone tags, and shade-level OOS detection. Foundations may have 40+ shades per product; we preserve the full variant tree.
Ingredient lists (INCI) are captured as structured fields wherever retailers display them. Critical for clean beauty audits, allergen tracking, and dupe analysis.
Yes — ingredient-overlap matching, shade-similarity matching, and image-similarity scans help surface dupe candidates against your brand portfolio.
Daily refresh standard. Hourly during major beauty events (Sephora Sale, Ulta 21 Days, Nykaa Pink Sale, Black Friday). New launches caught with first-seen timestamps.