joyfromtinkerterror/beautyproducts

The Beauty API: 180k+ Skincare & Cosmetics Products Dataset

The world’s most comprehensive, normalized products database for beauty-tech and market research.

This repository contains a structured sample of The Beauty API. While most beauty datasets are messy scrapes, this is a production-ready asset built on a research-backed backbone, normalized for day-one integration into recommendation engines, e-commerce storefronts, and AI models.

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📊 Dataset Overview (as of 11 May 2026)

• Total Records: 180,000+ Unique Products, their functional classifications, ingredients list and dermatological safety
• Brand Coverage: 20,000+ Global Brands (e.g., Paula's Choice, CeraVe, The Ordinary, Augustinus Bader)
• Image Archive: 18GB of high-resolution, ID-mapped imagery (Standardized white backgrounds)
• Formats: Interchangeable CSV and JSONL

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💡 Data Capabilities

1. Ingredients Intelligence & Safety

Every product is parsed into a rich, structured object to bypass months of data wrangling.

• Full INCI breakdown: Includes common aliases and functional classifications (e.g., "antioxidant," "soothing").
• Dermatological Safety: Research-backed comedogenic ratings (0–5) and irritancy scores (0–5) at the ingredient level.
• Expert Ratings: Editorial safety classifications (Superstars, Goodies, etc.).
• Advanced Tagging: Instant filtering for alcohol-free, fragrance-free, and essential oil-free formulations.

2. Machine Learning & Computer Vision

A pre-labeled training set for high-accuracy visual recognition and retail audits.

• Branding Analysis: Train multimodal models to decode the correlation between packaging design and ingredient quality.
• Visual Search: Use the 18GB mapped archive to build "Point-and-Know" camera features that bypass the need for barcodes.
• Retail Auditing: Power automated shelf-scanners to identify 180,000+ SKUs in real-world lighting conditions.

3. E-commerce Enrichment (B2B)

Metadata designed to boost conversion and lower return rates for indie e-com and retail.

• Page Enrichment: Generate SEO-rich product descriptions and ingredient glossaries.
• Trust Signals: Implement safety badges and personalized skin-type matching engines.

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Technical Schema

The dataset is delivered in interchangeable CSV and JSONL formats.

Field	Type	Nullable	Description
id	integer	no	Stable unique product id. Matches the image filename (<id>.jpeg). Ids are not strictly sequential; gaps reflect products dropped during clean.
brand	string	no	Brand / manufacturer name.
name	string	no	Product name. May contain non-ASCII characters, punctuation, or unicode whitespace.
description	string	yes	Marketing description. May be empty if none was listed.
image_name	string	yes	Filename of the product image (<id>.jpeg), or null.
tags	array<string>	yes	Product-level attribute tags. In CSV this is a `
ingredients_simple	array<string>	yes	Flat ordered list of ingredient names as they appear on the product. In CSV this is a `
ingredients	array<object>	yes	Rich ingredient records. One entry per ingredient, in the same order as ingredients_simple. In CSV this is a JSON-encoded string inside one quoted column.

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Licensing

This sample dataset is provided under the CC BY-NC 4.0 license for non-commercial research and evaluation.

Commercial Access: For production e-commerce, commercial AI training, or retail audit tools, a commercial license is required. Visit thebeautyapi.com for licensing details and full dataset downloads.