Datadory notebook

A Free Cosmetics Ingredients Database Data: Dataset Structure and Field Coverage

Datadory delivers a free cosmetics ingredients database data covering comprehensive field definitions, entity mappings, and historical time series — structured for direct analytics and delivered on demand.

1,744 datasets. Pick your catch.

How do you assemble a two-database starter kit?

Five steps take you from nothing to a joined product-and-ingredient database:

Pick up where this leaves off

Every one of these ships with sample rows before you commit to anything.

Personal Care Products Global - products browsable by country facet, contributed…

Open Beauty Facts — Global Cosmetics Product Database (Exports + Live API)

30 documented fields per record · OCR-derived extras · _tags …+27 more

Personal Care Products Global volunteer-contributed products

Hugging Face Datasets — Cosmetics & Beauty Collections

Personal Care Products European Union under Regulation (EC) No 1223/2009

EU CosIng — European Commission Cosmetic Ingredients Database

12 core fields per record · SCCS opinions · OJ publication flags …+9 more

Personal Care Products Global consumer cosmetics

INCIDecoder / INKEEDecoder — Ingredient Encyclopedia and Product INCI Database

7 core verified fields · product metadata · ingredient_name …+6 more

Personal Care Products Global consumer products

COSDNA — Cosmetics Ingredient Analysis Database

Personal Care Products United States storefront

Sephora — Structured Product Catalog (Scrapeable)

10 core fields per record · how-to-use copy …+7 more

Want rows instead of a pitch? Name the datasets.

API, files, or your warehouse. Daily, weekly, or hourly.

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Questions worth asking

What is the best free cosmetics ingredients database?

For product-level formulas, Open Beauty Facts — 73,522 crowdsourced products with printed INCI lists, refreshed nightly under the commercial delivery terms. For ingredient-level nomenclature, EU CosIng — roughly 24,526 records with CAS/EC numbers, annex references and SCCS opinions through a free REST API. Use both: one gives you formulas, the other tells you what each ingredient means.

What is the largest free cosmetics dataset for machine learning?

The Hugging Face beauty split: beauty.parquet verified at 73,421 rows × 111 columns in 59 MB, with barcodes, brands, categories and parsed ingredient tags. Beside it sits the jhan21/amazon-beauty-reviews-dataset of roughly 700,000 commercial delivery terms reviews, giving supervised text tasks a labelled companion to the product table.