Description:

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.

Fields:

• 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.
  

Source:

The dataset is sourced from Ultra Beauty's product catalog.

Usage:

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.

Unlock in-depth beauty industry insights with our Ulta Beauty Dataset, featuring 33,000 records in CSV format. This beauty cosmetics dataset provides detailed product listings, pricing, ratings, reviews, brand information, and availability, making it a powerful resource for businesses, analysts, and AI developers in the cosmetics and skincare industry.

With structured and up-to-date data, brands can analyze consumer trends, competitor pricing, product performance, and customer sentiment to optimize their marketing strategies and product offerings. Ideal for AI/ML model training, recommendation engines, price tracking, and trend forecasting, this dataset helps you stay ahead in the dynamic beauty sector.

📩 Get in touch today to access this exclusive Ulta dataset and elevate your data-driven decision-making!

In the period of time going from January 2019 to April 2024, the volume of M&A deals in the beauty and personal care industry was higher for Europe. A year before, this figure added up to 37 M&A deals for North America.

A comprehensive dataset analyzing the beauty industry in 2025, including market size, product categories, consumer behavior, emerging trends, and global growth statistics.

Skin Care, Make Up and Cosmetics Market Size Value in Romania, 2021 Discover more data with ReportLinker!

Forecast: Skin Care, Make Up and Cosmetics Market Size Value in Denmark 2022 - 2026 Discover more data with ReportLinker!

The Sephora Dataset schema provides structured data fields tailored for analyzing Sephora product details and market trends. Key data points include product name, SKU, availability, regular and actual prices, brand, videos, ratings, loyalty points, delivery options, and comprehensive product descriptions. Flexible subscription options (one-time, quarterly, biannual, and monthly) enable up-to-date insights through formats like JSON, CSV, and Parquet, with easy integration into platforms like Snowflake, Amazon S3, and Google Cloud. Customizable data subsets, reliable updates, and a dedicated support team ensure this dataset meets the needs of eCommerce analysis, pricing strategy, and market trend optimization.

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.

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.

Here are a few use cases for this project:

1. 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.

2. 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.

3. 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.

4. Forensics: In the crime investigation process, the model could be useful to analyze hair patterns or characteristics in evidence for identification purposes.

5. 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.

About this dataset

Context

The dataset tabulates the Industry population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Industry.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Industry, IL Population Breakdown by Race
• Industry, IL Non-Hispanic Population Breakdown by Race
• Industry, IL Hispanic or Latino Population Distribution by Their Ancestries

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

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.

About this dataset

Context

The dataset tabulates the New Market population by race and ethnicity. The dataset can be utilized to understand the racial distribution of New Market.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• New Market, VA Population Breakdown by Race
• New Market, VA Non-Hispanic Population Breakdown by Race
• New Market, VA Hispanic or Latino Population Distribution by Their Ancestries

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Whether you're building an eCommerce dashboard, researching market trends, or prototyping beauty intelligence tools — this dataset is a perfect place to start.

Interested in Live Tracking or API?

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

About this dataset

Context

The dataset tabulates the Elko New Market population by race and ethnicity. The dataset can be utilized to understand the racial distribution of Elko New Market.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• Elko New Market, MN Population Breakdown by Race
• Elko New Market, MN Non-Hispanic Population Breakdown by Race
• Elko New Market, MN Hispanic or Latino Population Distribution by Their Ancestries

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Clean Beauty Skincare Products Market Outlook

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.

Product Type Analysis

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

About this dataset

Context

The dataset tabulates the New Market township population by race and ethnicity. The dataset can be utilized to understand the racial distribution of New Market township.

Content

The dataset will have the following datasets when applicable

Please note that in case when either of Hispanic or Non-Hispanic population doesnt exist, the respective dataset will not be available (as there will not be a population subset applicable for the same)

• New Market Township, Minnesota Population Breakdown by Race
• New Market Township, Minnesota Non-Hispanic Population Breakdown by Race
• New Market Township, Minnesota Hispanic or Latino Population Distribution by Their Ancestries

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

This dataset provides information on 1,312 in Taiwan as of May, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.