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Ultra Beauty Products Dataset offers detailed insights into Ulta Beauty's wide range of beauty products. This dataset includes product URLs, titles, SKUs, high-quality images, pricing, availability, and customer reviews, making it an essential resource for e-commerce analytics, competitor research, and digital marketing.
Leverage this dataset to optimize product listings, analyze market trends, and enhance customer engagement.
For access to more beauty and cosmetics datasets, explore the Beauty and Cosmetics Data Collection and power your data-driven strategies today.
url
: Product URL on the Ultra Beauty website.title
: Name of the beauty product.sku
: Stock Keeping Unit identifier.productID
: Unique identifier for each product.main_image
: URL of the main product image.price
: Retail price of the product.currency
: Currency used for the price (e.g., USD).product_variant
: Variant of the product (e.g., size, color).summary
: Short description or summary of the product.raw_summary
: Raw, unprocessed summary text of the product.availability
: Availability status (e.g., in stock, out of stock).primary_category
: Main category of the product.category1
: Primary sub-category.category2
: Secondary sub-category (if applicable).breads
: Breadth of product categories (if applicable).images
: Additional product images (URLs).description
: Detailed description of the product.ingredients
: Ingredients used in the product.raw_ingredients
: Raw, unprocessed ingredients list.details
: Additional product details.raw_details
: Raw, unprocessed details.how_to_use
: Instructions on how to use the product.raw_how_to_use
: Raw, unprocessed usage instructions.avg_rating
: Average customer rating (out of 5 stars).review_count
: Number of customer reviews.reviews
: Customer reviews (text).uniq_id
: Unique identifier for the record.scraped_at
: Timestamp when the data was scraped.The dataset is sourced from Ultra Beauty's product catalog.
Ideal for analyzing product trends, pricing strategies, customer preferences, and market research in the beauty industry.
In 2024, natural skincare was the top beauty trend online, with over 13.3 million mentions across social media platforms TikTok, Pinterest and Instagram. Magnesium followed with about 9.6 million and Microneedling with 7.6 million mentions.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Skin Care, Make Up and Cosmetics Market Size Value in Romania, 2021 Discover more data with ReportLinker!
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The Report Covers Market Growth and Share of Cosmetic Industry in India and is Segmented by Product Type (Color Cosmetics and Hair Styling and Coloring Products) and by Distribution Channel (Hypermarkets/Supermarkets, Specialty Stores, Pharmacy and Drug Stores, Online Retail Stores, and Other Distribution Channels). The Report Offers Market Size and Values in (USD Million) During the Forecasted Years for the Above Segments.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about books. It has 1 row and is filtered where the book is Beauty junkies : under the skin of the cosmetic surgery industry. It features 7 columns including author, publication date, language, and book publisher.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Forecast: Skin Care, Make Up and Cosmetics Market Size Value in Denmark 2022 - 2026 Discover more data with ReportLinker!
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
European Skin Care, Make Up and Cosmetics Market Size Value by Country, 2023 Discover more data with ReportLinker!
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
European Skin Care, Make Up and Cosmetics Market Size Value Share by Country (Euros), 2023 Discover more data with ReportLinker!
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Skin Care, Make Up and Cosmetics Market Size Value in Croatia, 2021 Discover more data with ReportLinker!
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Forecast: Skin Care, Make Up and Cosmetics Market Size Value in Spain 2022 - 2026 Discover more data with ReportLinker!
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is about book series. It has 1 row and is filtered where the books is The global beauty industry : colorism, racism, and the national body. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Forecast: Skin Care, Make Up and Cosmetics Market Size Value in Austria 2022 - 2026 Discover more data with ReportLinker!
http://data.europa.eu/eli/dec/2011/833/ojhttp://data.europa.eu/eli/dec/2011/833/oj
Inventory of Cosmetic Ingredients as amended by Decision 2006/257/EC establishing a common nomenclature of ingredients employed for labelling cosmetic products throughout the EU.
The Inventory is purely indicative and does not constitute a list of substances authorised for use in cosmetic products. An ingredients assigned with an INCI name that appears in the inventory section of CosIng does not mean it is to be used in cosmetic products nor approved for such use.
The inventory is divided into 2 sections:
•Section 1 – cosmetic ingredients other than perfume and aromatic raw materials;
•Section 2 – perfume and aromatic raw materials.
The inventory contains information concerning the identity of the ingredient, notably the INCI (ex CFTA), Ph. Eur., INN, IUPAC, and chemical names; and the EINECS/ELINCS, CAS; ingredients’ functions and any mandatory restrictions, conditions of use, and warnings.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
Here are a few use cases for this project:
Dermatology Health Applications: This computer vision model could be used to build dermatology tools or applications. Professionals could use it to detect, identify, and track skin conditions or diseases (like melanoma or eczema) based on changes in the pattern or texture of hair distribution on human skin over time.
Hair Growth Research: The model could be beneficial in the research field associated with hair growth and hair health. It could support analysis on various factors like age, health, products, influencing hair growth and development.
Beauty and Cosmetic Industry: This model could find application in the beauty and cosmetics industry, where it can be used in the creation of personalized hair care products. It could analyze customer's hair characteristics and patterns to recommend specific product formulas.
Forensics: In the crime investigation process, the model could be useful to analyze hair patterns or characteristics in evidence for identification purposes.
Animal Studies: This model could also be beneficial in animal studies, where it can help differentiate animal species simply by analyzing fur patterns or fur health.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Forecast: Cosmetic Powders Market Size Value in Germany 2023 - 2027 Discover more data with ReportLinker!
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Forecast: Cosmetic Powders Market Size Value in Sweden 2023 - 2027 Discover more data with ReportLinker!
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Whether you're building an eCommerce dashboard, researching market trends, or prototyping beauty intelligence tools — this dataset is a perfect place to start.
This dataset represents just a snapshot of what we track in real time at https://beautyfeeds.io/" target="_new" rel="noopener" data-start="2004" data-end="2041">BeautyFeeds:
Monitor price & stock changes daily or weekly
Track products from major retailers like Sephora, Ulta, Nykaa, Amazon, and more
Access via export or live API
Filter by brand, country, or category
Assign custom URLs for targeted scraping
👉 Learn more and get 500 free credits at https://beautyfeeds.io/" target="_new" rel="noopener" data-start="2342" data-end="2382">BeautyFeeds.io
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The MAC Cosmetics Face Image Dataset consists of 250 high-resolution images showcasing a wide variety of face makeup products from MAC Cosmetics, a leading brand in the beauty industry. This collection is organized into two key categories: Hero Images and Carousel Images. The dataset captures the luxurious and professional presentation of MAC's face products, including foundations, primers, concealers, and powders, making it perfect for e-commerce platforms, beauty retailers, and digital marketers in key global markets.
Hero Images: These high-impact visuals are designed for branding and promotional content. They emphasize the premium quality and elegant presentation of MAC’s face makeup, making them ideal for use in online advertising, product banners, and social media campaigns.
Carousel Images: Featuring multiple product views, close-ups, and application examples, these images provide comprehensive visual representation. They are ideal for product galleries, detailed listings, and showcasing the texture, color, and packaging of MAC's face makeup products.
Key Features:
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The global clean beauty skincare products market size was valued at USD 5.4 billion in 2023 and is projected to reach USD 11.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 8.7% from 2024 to 2032. This market is being driven by an increasing consumer preference for natural and organic products, heightened awareness of the harmful effects of synthetic chemicals, and rising environmental concerns.
One of the key growth factors for the clean beauty skincare products market is the increasing consumer awareness about the potential side effects of synthetic ingredients found in conventional skincare products. As consumers become more informed, they are gravitating towards products that are free from harmful chemicals such as parabens, sulfates, and artificial fragrances. This shift in consumer behavior is significantly boosting the demand for clean beauty skincare products, as people are increasingly looking for products that are both effective and safe for long-term use.
Another major growth driver is the growing trend of sustainability and eco-friendliness. Consumers are becoming more environmentally conscious and are seeking products that not only benefit their skin but also have a minimal impact on the environment. Clean beauty products often come with sustainable packaging and are made using ethically sourced ingredients, thereby appealing to eco-conscious consumers. This dual focus on personal health and environmental sustainability is creating a strong demand for clean beauty skincare products.
Additionally, the increasing prevalence of skin conditions such as acne, eczema, and rosacea is driving the demand for gentle and non-irritating skincare solutions. Clean beauty products, often formulated with natural ingredients known for their soothing and healing properties, are becoming the go-to choice for individuals with sensitive skin. The rise in skin sensitivity issues, possibly due to pollution and lifestyle factors, is further propelling the growth of this market.
Regionally, North America holds a significant share of the clean beauty skincare products market, largely due to the high levels of consumer awareness and the presence of numerous clean beauty brands. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by increasing disposable incomes, rapid urbanization, and a growing inclination towards natural and organic products. The strong influence of social media and beauty influencers in countries like China, Japan, and South Korea is also contributing to the rising demand for clean beauty skincare products in this region.
The clean beauty skincare products market can be segmented by product type into cleansers, moisturizers, serums, masks, and others. Cleansers hold a significant share in the market, as they are a fundamental part of any skincare routine. The increasing awareness about the importance of proper skin cleansing to remove dirt, oil, and makeup residue is driving the demand for clean beauty cleansers. Moreover, the availability of a wide range of cleansers formulated with natural ingredients, such as aloe vera, chamomile, and tea tree oil, is attracting consumers who prefer gentle yet effective cleansing solutions.
Moisturizers are another crucial segment, as hydration is a key aspect of skincare. The demand for clean beauty moisturizers is driven by their ability to provide hydration without clogging pores or causing irritation. Many clean beauty brands offer moisturizers that are free from synthetic fragrances and parabens, making them suitable for all skin types, including sensitive skin. The trend of "skinimalism," where consumers opt for minimal yet effective skincare routines, is also boosting the demand for multi-functional moisturizers that offer hydration along with other benefits like anti-aging and skin brightening.
Serums are gaining popularity due to their concentrated formulations and targeted skincare benefits. Clean beauty serums, often packed with natural antioxidants, vitamins, and plant extracts, cater to specific skin concerns such as fine lines, hyperpigmentation, and dullness. The growing consumer interest in achieving a youthful and radiant complexion is driving the demand for these potent formulations. The versatility of serums, which can be easily incorporated into any skincare regimen, further enhances their appeal.
Masks represent another growing segment in the clean beauty ski
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
What to report and how to use the industry report form.
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Ultra Beauty Products Dataset offers detailed insights into Ulta Beauty's wide range of beauty products. This dataset includes product URLs, titles, SKUs, high-quality images, pricing, availability, and customer reviews, making it an essential resource for e-commerce analytics, competitor research, and digital marketing.
Leverage this dataset to optimize product listings, analyze market trends, and enhance customer engagement.
For access to more beauty and cosmetics datasets, explore the Beauty and Cosmetics Data Collection and power your data-driven strategies today.
url
: Product URL on the Ultra Beauty website.title
: Name of the beauty product.sku
: Stock Keeping Unit identifier.productID
: Unique identifier for each product.main_image
: URL of the main product image.price
: Retail price of the product.currency
: Currency used for the price (e.g., USD).product_variant
: Variant of the product (e.g., size, color).summary
: Short description or summary of the product.raw_summary
: Raw, unprocessed summary text of the product.availability
: Availability status (e.g., in stock, out of stock).primary_category
: Main category of the product.category1
: Primary sub-category.category2
: Secondary sub-category (if applicable).breads
: Breadth of product categories (if applicable).images
: Additional product images (URLs).description
: Detailed description of the product.ingredients
: Ingredients used in the product.raw_ingredients
: Raw, unprocessed ingredients list.details
: Additional product details.raw_details
: Raw, unprocessed details.how_to_use
: Instructions on how to use the product.raw_how_to_use
: Raw, unprocessed usage instructions.avg_rating
: Average customer rating (out of 5 stars).review_count
: Number of customer reviews.reviews
: Customer reviews (text).uniq_id
: Unique identifier for the record.scraped_at
: Timestamp when the data was scraped.The dataset is sourced from Ultra Beauty's product catalog.
Ideal for analyzing product trends, pricing strategies, customer preferences, and market research in the beauty industry.