Data Pre-crawled Datasets Comprehensive Skincare Product Data Extracted from Dermstore – Ingredient List

Comprehensive Skincare Product Data Extracted from Dermstore – Ingredient List

dermstore.com · CSV

This dataset contains meticulously extracted information on 100+ skincare products from Dermstore, one of the leading online skincare retailers. Designed for beauty analysts, researchers, and data scientists, this dataset provides a deep dive into ingredient compositions, product categories, and targeted skin concerns. Each entry is enriched with essential details, including full ingredient lists, enabling in-depth ingredient analysis and skincare product comparisons.

Data Highlights:

  • Ingredient Listings: Comprehensive ingredient details for each product, ideal for ingredient-based research and analysis.
  • Product and Brand Details: Product name, brand, category (e.g., cleansers, serums, sunscreens), and skin concerns (such as acne, aging, or sensitivity) offer full product context.
  • User Ratings and Reviews (where available): Consumer ratings add valuable insights into product performance, satisfaction, and ingredient effectiveness.

Dataset Scope: The data includes essential product details and ingredient information for a variety of skincare products available on Dermstore. It covers skincare categories such as moisturizers, cleansers, serums, and sunscreens, making it a versatile tool for anyone interested in the ingredients behind skincare.

Dataset Use Cases:

  1. Trend Analysis: Identify ingredient trends, such as the popularity of specific actives like hyaluronic acid, niacinamide, or retinol.
  2. Recommendation Models: Build recommendation algorithms for skincare products based on ingredient compatibility and skin concerns.
  3. Product Comparison: Conduct comparative studies on products with similar or unique ingredients.
  4. Health and Safety Analysis: Research ingredient safety, allergens, and natural vs. synthetic composition trends.

Ideal For:

  • Data Scientists: For projects in predictive modeling, trend analysis, and building recommendation systems.
  • Beauty and Health Researchers: For ingredient efficacy studies, consumer trend analysis, and product formulation research.
  • Skincare Enthusiasts: Provides insights into product compositions and ingredient effectiveness.

 

Fields
url, title, brand, sku, product_id, price, currency, availability, condition, rating_value, review_count, category, description, ingredients, raw_ingredients, how_to_use, raw_how_to_use, skin_type_and_concerns, raw_skin_type_and_concerns, range, volume, images, uniq_id, scraped_at
Pricing
$184.00 20.0% off

Availability: immediately

Records: 7,500