What 33,000 Ulta Beauty Products Reveal About the Cosmetics Market

The cosmetics industry is a goldmine of customer preferences, price positioning, and brand performance — and Ulta Beauty sits right at the heart of it.

We scraped over 33,000 product listings from Ulta.com to build a dataset that captures detailed information across skincare, makeup, hair, and fragrance. Here's what the data tells us — and how you can use it.

📊 What’s Inside the Dataset

Each record includes:

• Product name, category, subcategory

• Brand

• Price

• Star rating

• Review count

• Image URL

You can use it for market analysis, product monitoring, AI training, or building beauty-focused recommendation tools.

🔍 Example Insights

Here’s a snapshot of the kind of patterns you can extract from this dataset:

• Most represented brand: e.l.f. Cosmetics with hundreds of listings

• Average product price hovers around $28

• Top categories by volume: Skincare, Lip Products, and Foundations

• Skincare alone makes up 40%+ of the dataset — a clear leader in product count

🧠 Who This Is For

This dataset is useful for:

• Retail & DTC analysts benchmarking brands & pricing

• AI/ML teams training models on beauty products and sentiment

• SEO/content strategists identifying high-volume categories

• Investors & researchers tracking brand growth & customer feedback

📁 Get the Dataset

We’ve published a free sample and the full 33K record dataset, ready to use in CSV or JSON formats.

👉 Explore the Ulta Beauty Dataset →

Need more filters, image downloads, or regular refreshes? You can request a custom version or read how we handle dataset updates.