Beauty pricing intelligence + brand protection
Monitor perfume and cosmetics prices across authorized retailers, marketplaces, and gray-market sellers — and detect unauthorized resellers before your margin disappears.
- Sephora
- Ulta
- Cult Beauty
- Lookfantastic
- Douglas
- Notino
- Amazon
- eBay
- Aliexpress
- Boots
- Walmart Beauty
- Feelunique
Where beauty brand pricing falls apart
Three structural gaps every beauty pricing or brand-protection team runs into.
- 30%+SKUs hit by unauthorized resellers within 6 months
MAP erodes faster than you can react
Sephora and Ulta hold the line. A marketplace seller undercuts by 25%, and your premium positioning is gone overnight.
- 5×More marketplaces vs retail
Gray-market across too many channels
Authentic stock leaks to Amazon, eBay, Aliexpress, and increasingly Instagram and TikTok Shop. You can't enforce what you can't see.
- 73%Of MAP violations slip through manual checks
Customer complaints arrive before your data does
Without continuous monitoring, you find out about a MAP violation when a wholesale partner forwards a customer's screenshot.
What Scrapewise actually does for beauty brands
Three things, simply: authorized + unauthorized in one table, defensible takedown evidence, premium positioning defended.
Authorized + unauthorized in one table
Sephora, Ulta, direct sites alongside marketplace listings — so you spot violations the day they happen.
Defensible takedown evidence
Every listing snapshot timestamped and source-linked — exactly what marketplaces want for brand-protection complaints.
Premium positioning defended
Catch the marketplace seller undercutting MAP before customers see it. Protect the architecture you built.
How a beauty brand-protection team gets up and running
Five steps from blank canvas to live MAP enforcement and gray-market visibility.
- 01
Define authorized + at-risk channels
List Sephora, Ulta, direct retailers + the marketplaces and gray-market sites you want covered.
- 02
Configure brand-protection scrapes
Tell Scrapewise which fields to extract — listing price, seller name, MAP violation flag, listing URL. No code.
- 03
Set MAP rules per SKU
Define MAP thresholds at the product level. Scrapewise flags violations in the structured output automatically.
- 04
Run + verify the first scrape
First refresh runs in minutes. Confirm violation flags + evidence trail match your takedown SOP.
- 05
Pipe into your brand-protection workflow
CSV, Excel or REST API. Load it into your takedown filing system, BI tool or CRM.
What you can build on top of Scrapewise beauty data
Each beauty brand need maps to a specific Scrapewise use case. Pick the one matching your team's mandate.
- Industry needDetect MAP violations across all channelsUse caseMAP monitoringRead more →
- Industry needTrack competitor perfume + cosmetics pricingUse caseCompetitor price trackingRead more →
- Industry needPull retailer + marketplace catalogue into BIUse caseProduct data extractionRead more →
- Industry needBuild market intelligence for new launchesUse caseE-commerce market researchRead more →
- Industry needFeed AI for review + sentiment analysisUse caseData for AI and LLMsRead more →
Beauty Brand Protection That Scales With Your Catalogue
Authorized + Unauthorized in One Table
Track pricing on Sephora, Ulta, and direct sites alongside marketplace listings — so you can spot violations the day they happen.
Cross-Marketplace Gray-Market Detection
Monitor Amazon, eBay, Aliexpress, and emerging social-commerce channels for unauthorized listings of your brand's products.
Defensible Evidence for Takedowns
Every listing snapshot is timestamped and source-linked — exactly what marketplaces need when you submit a brand-protection complaint.
From Reactive Takedowns to Proactive Protection
Beauty brands using Scrapewise stop chasing violations after customers report them. The data shows up before the customer does, and the takedown is filed with full evidence — automatically.
- ✕ Find out about MAP violations from customers, not first
- ✕ Brand-protection team buried in screenshots and spreadsheets
- ✕ Marketplace coverage limited by team capacity
- ✕ No defensible evidence for serious takedowns
- ✕ Premium positioning erodes silently
- ✓ MAP violations and unauthorized listings caught on each daily run
- ✓ Automated cross-marketplace + gray-market monitoring
- ✓ Coverage scales with your scrape config, not headcount
- ✓ Timestamped, source-linked evidence for every violation
- ✓ Premium positioning protected continuously
Plugs into the tools beauty brands already run
Pipe Scrapewise data into your BI, CRM, and brand-protection stack.
Power BI
BI / dashboards
Tableau
BI / analytics
MCP server
Claude Code and Claude Desktop
Excel / CSV
Direct export
Salesforce
CRM, via CSV import
JSON
Via the REST API
Snowflake
Warehouse, via REST API
REST API
Custom integrations
If you can call a REST API or open a CSV, you can integrate Scrapewise.
Adjacent capabilities for beauty brands
Use cases, comparisons, and reading you'll likely need once your beauty data layer is live.
Use cases
Compare alternatives
An Unauthorized Reseller Just Listed Your Hero SKU. Did You Notice?
Stop running brand protection from screenshots. Scrapewise gives beauty brands continuous, structured visibility into every channel that matters — authorized and otherwise.
Frequently Asked Questions
Common questions from beauty pricing, brand-protection, and channel teams.
Yes. Perfume price comparison data is monitored across major fragrance retailers, marketplaces, and direct sites — automated daily.