Datasets and databases from Beauty

Welcome to our exclusive collection of comprehensive datasets and databases from the beauty industry. Our datasets are meticulously curated to provide detailed and valuable insights for businesses, researchers, and enthusiasts in the beauty sector.

1. Overview:

Our beauty datasets encompass a wide range of product categories including skincare, makeup, haircare, fragrances, and more. Each dataset is designed to offer in-depth information, helping you stay ahead in the competitive beauty market.

2. Detailed Product Information:

Each dataset includes detailed product information such as product names, descriptions, prices, ingredients, and brand details. This data is crucial for market analysis, trend prediction, and inventory management.

3. High-Quality Images:

Our datasets come with high-resolution images of beauty products, ensuring you have a visual representation of each item. These images are perfect for e-commerce listings, marketing materials, and product catalogs.

4. Customer Reviews and Ratings:

Gain insights into consumer preferences with customer reviews and ratings included in our datasets. Understand what customers love or dislike about products and make informed decisions based on real user feedback.

5. Structured and Organized Data:

All data is structured and organized for easy integration into your systems. Whether you are developing a new beauty app, conducting research, or enhancing your product database, our datasets are designed to meet your needs.

Sub Content:

a. Skincare Datasets:

  • Product details, ingredients, and benefits
  • High-quality images
  • Customer reviews and ratings

b. Makeup Datasets:

  • Comprehensive product information
  • Brand and pricing details
  • Visual representations and color swatches

c. Haircare Datasets:

  • Haircare product categories
  • Detailed ingredient lists
  • User feedback and ratings

d. Fragrance Datasets:

  • Fragrance descriptions and notes
  • Brand and pricing information
  • Customer ratings and reviews

Conclusion:

Enhance your beauty business or research with our detailed and well-organized beauty datasets. Access valuable insights and stay competitive in the beauty industry. Explore our datasets today and leverage the power of data for your success.

Mecca Australia Extracted Data in CSV Format

Data extracted from the site mecca.com in
CSV format and having more then 7 Thousand records

Luxury Makeup Images from Sephora

Data extracted from the site sephora.com in
ZIP format and having more then 300 records

MAC Cosmetics Face Image Dataset

Data extracted from the site maccosmetics.com in
ZIP format and having more then 250 records

Prada Fragrance for Women - Hero and Carousel Image Dataset

Data extracted from the site prada.com in
PNG format and having more then 100 records

Amazon Beauty Products Dataset with Ingredients (47K Records)

Data extracted from the site amazon.com in
CSV format and having more then 47 Thousand records

Comprehensive Skincare Product Data Extracted from Dermstore – Ingredient List in JSON Format

Data extracted from the site dermstore.com in
JSON format and having more then 7.5 Thousand records

Dior Makeup Luxury - Lip Image Dataset

Data extracted from the site dior.com in
ZIP format and having more then 70 records

Ultra beauty products dataset

Data extracted from the site ulta.com in
CSV format and having more then 15 Thousand records

Beauty and grooming products dataset

Data extracted from the site flipkart.com in
CSV format and having more then 80 Thousand records

Notino Beauty Image Collection

Data extracted from the site notino.co.uk in
JPG format and having more then 1.5 Thousand records

Nykaa products dataset

Data extracted from the site nykaa.com in
JSON format and having more then 56 Thousand records

Personal care and beauty products dataset from Sephora

Data extracted from the site sephora.com in
CSV format and having more then 20 Thousand records

Sephora makeup products sample dataset

Data extracted from the site sephora.com in
csv format and having more then 340 records

Mecca beauty datasets

Domain: mecca.com

There 1 datasets extracted from the mecca.com and data available in both JSON and CSV formats.

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Sephora beauty datasets

Domain: sephora.com

There 4 datasets extracted from the sephora.com and data available in both JSON and CSV formats.

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Maccosmetics beauty datasets

Domain: maccosmetics.com

There 1 datasets extracted from the maccosmetics.com and data available in both JSON and CSV formats.

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Prada beauty datasets

Domain: prada.com

There 1 datasets extracted from the prada.com and data available in both JSON and CSV formats.

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Amazon beauty datasets

Domain: amazon.com

There 12 datasets extracted from the amazon.com and data available in both JSON and CSV formats.

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Dermstore beauty datasets

Domain: dermstore.com

There 1 datasets extracted from the dermstore.com and data available in both JSON and CSV formats.

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Dior beauty datasets

Domain: dior.com

There 1 datasets extracted from the dior.com and data available in both JSON and CSV formats.

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Ulta beauty datasets

Domain: ulta.com

There 2 datasets extracted from the ulta.com and data available in both JSON and CSV formats.

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Flipkart beauty datasets

Domain: flipkart.com

There 13 datasets extracted from the flipkart.com and data available in both JSON and CSV formats.

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Notino beauty datasets

Domain: notino.co.uk

There 1 datasets extracted from the notino.co.uk and data available in both JSON and CSV formats.

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Nykaa beauty datasets

Domain: nykaa.com

There 3 datasets extracted from the nykaa.com and data available in both JSON and CSV formats.

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