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.

Purchase Full Dataset License

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📊 Dataset Overview (as of 26 June 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: Each ingredient carries its on-label name, common aliases (other_names), and functional roles (functions, e.g. "solvent," "antioxidant," "soothing"), in exact on-pack order with label position preserved.
• Chemical identifiers: Regulatory-grade CAS, EC, IUPAC, and Ph. Eur. names per ingredient for enterprise R&D and compliance work.
• Dermatological Safety: Research-backed comedogenic ratings (0–5), irritancy scores (0–5), and editorial expert ratings at the ingredient level.
• Free-from flags: Boolean columns for instant filtering — contains_fragrance, contains_drying_alcohol, contains_parabens, contains_sulfates, contains_silicones.
• Product classification: Product category and brand origin for segmentation.

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.

Product fields

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.
image_name	string	yes	Filename of the product image (<id>.jpeg), or null.
category	string	yes	Product category (e.g. skincare).
origin	string	yes	Brand country of origin, or null.
contains_fragrance	boolean	no	Formulation contains fragrance/parfum.
contains_drying_alcohol	boolean	no	Contains a drying (simple) alcohol.
contains_parabens	boolean	no	Contains parabens.
contains_sulfates	boolean	no	Contains sulfates.
contains_silicones	boolean	no	Contains silicones.
ingredients_simple	array<string>	yes	Flat ordered list of on-label ingredient names. In CSV this is a `
ingredients	array<object>	yes	Rich ingredient records, in on-pack order. In CSV this is a JSON-encoded string inside one quoted column. Per-ingredient fields below.

ingredients[] object fields

Field	Type	Nullable	Description
position	integer	no	0-based slot in the on-pack INCI list.
label_name	string	no	Exact on-label text for this ingredient on this product.
concentration	string	yes	Stated concentration, if printed.
ingredient_id	integer	no	Canonical ingredient id — the same chemical shares one id across products.
name	string	no	Canonical ingredient name.
rating	string	yes	Editorial expert rating (e.g. Superstar, Goodie), or null.
irritancy	string	yes	Irritancy indicator (0–5 scale), or null.
comedogenicity	string	yes	Comedogenic / pore-clogging indicator (0–5 scale), or null.
functions	array<string>	yes	Functional roles (e.g. solvent, antioxidant).
cas_number	string	yes	CAS registry number.
ec_number	string	yes	EC number.
ph_eur_name	string	yes	European Pharmacopoeia name.
iupac_name	string	yes	IUPAC name.
other_names	string	yes	Known aliases / synonyms.
category	string	yes	Ingredient category, or null.

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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.