---
license: cc-by-nc-4.0
task_categories:
  - image-to-text
  - tabular-classification
  - text-classification
  - feature-extraction
language:
  - en
tags:
  - beauty
  - skincare
  - ingredients
  - cosmetics
  - makeup
  - machine-learning
  - computer-vision
pretty_name: "The Beauty API: 180k+ Skincare & Cosmetics Products Dataset (Sample)"
size_categories:
  - 1K<n<10K
---

# 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](https://thebeautyapi.com)**

---

## 📊 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**

---

## 💡 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.

---

## 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&lt;string&gt; | yes | Product-level attribute tags. In CSV this is a `|`-delimited string. Observed vocabulary: `alcohol-free`, `fragrance & essentialoil-free`, `knownamountofactive`. |
| `ingredients_simple` | array&lt;string&gt; | yes | Flat ordered list of ingredient names as they appear on the product. In CSV this is a `|`-delimited string. Order is the on-pack INCI order (descending by concentration). |
| `ingredients` | array&lt;object&gt; | 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. |

---

## 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](https://thebeautyapi.com) for licensing details and full dataset downloads.