Sephora US Products Data

Get structured, clean Sephora US product data for research, ecommerce analysis, price tracking, and beauty market insights.

This free dataset is a sample from our real-time Sephora data pipeline.

Provided by Happy Endpoint

📦 What’s Included

Here’s a non-table version you can paste directly into Gumroad:

Fields Included in This Dataset:

• productId – Unique Sephora product identifier
• skuId – SKU-level unique identifier
• brandName – Brand name (e.g., Fenty Beauty, Dior, Rare Beauty)
• displayName – Product name as displayed on Sephora
• listPrice – Current listed price in USD
• rating – Average customer rating
• reviews – Total number of customer reviews
• targetUrl – Direct URL to the product page
• heroImage – Main product image URL
• categoryPath – Full category hierarchy path

Format: CSV

Region: United States

Marketplace: Sephora US

🎯 Who Is This For?

• Ecommerce sellers
• Beauty market researchers
• Data analysts
• Dropshippers
• Pricing intelligence tools
• Developers building beauty apps
• Competitor analysis teams

📊 Sample Use Cases

• Track brand pricing trends
• Analyze best-rated beauty products
• Build price comparison tools
• Study category-level performance
• Train ecommerce recommendation models
• Monitor product reviews & ratings

🚀 Want Real-Time Sephora Data?

This is just a free sample.

We provide real-time Sephora data API access via RapidAPI:

👉 RapidAPI Profile

https://rapidapi.com/user/happyendpoint

👉 Real-Time Sephora API

https://rapidapi.com/happyendpoint/api/real-time-sephora-api

👉 Official Website

https://happyendpoint.com/

🔥 About Happy Endpoint

Happy Endpoint specializes in real-time ecommerce data APIs.

We provide structured, scalable, developer-friendly endpoints for:

• Product data
• Pricing data
• Reviews
• Brand tracking
• Category intelligence

Built for developers, analysts, and ecommerce teams.

💡 Why This Free Sample?

We believe in transparency.

Download the dataset.

Inspect the structure.

Test the quality.

When you're ready for scale, access the full real-time API.