Farfetch Luxury Handbag Catalog
A targeted luxury fashion product dataset from Farfetch.com covering 960 women’s handbag listings across 125 world-renowned designer brands (including Jacquemus, Valentino Garavani, Saint Laurent, Gucci, and Prada). Standardized with exact checkout prices in USD, designer style codes, SKU identifiers, and editorial descriptions.
Schema Specification (35 Columns)
Standardized according to FASHION-PDP specification with verified SKU attribution and automated catalog audits.
| Field Name | Data Type | Fill Rate SLA | Description |
|---|---|---|---|
| website_name | String | 100% | farfetch.com |
| competence_date | ISO Date | 100% | Collection timestamp (YYYY-MM-DD) |
| country_code | ISO 3166-1 | 100% | USA / destination market |
| currency_code | ISO 4217 | 100% | USD |
| brand | String | 100% | 125 designer brands (Jacquemus, Valentino, Saint Laurent...) |
| product_title | String | 100% | Official product model title |
| product_code | String / ID | 100% | Farfetch internal catalog product identifier |
| sku | String / ID | 100% | Farfetch internal catalog SKU — 100% unique |
| category1 | String | 100% | Constant “Women” across all 960 records — department classification |
| category2 | String | 100% | Bags (50.0%) and second category classification |
| category3 | String | 100% | Granular subcategory (Shoulder Bags, Tote Bags...) |
| gender | Enum | 100% | Constant “Female” across all 960 records — target audience |
| color | String | 100% | Constant “Multi/Neutral” across all 960 records — not a per-item attribute |
| size | String | 100% | Constant “OS” (One Size) across all 960 records — not a per-item attribute |
| full_price | Float ($) | 100% | Original suggested retail price in USD |
| price | Float ($) | 100% | Current checkout price in USD |
| currency | ISO 4217 | 100% | USD |
| discount_pct | Integer (%) | 100% | Constant 0 — this snapshot contains no marked-down items |
| in_stock | Boolean | 100% | Constant true across all 960 records |
| composition | String | 100% | Constant “Calf Leather / Premium Fabric” across all 960 records |
| made_in | Country | 100% | Constant “Italy” across all 960 records — not a per-item attribute |
| season | String | 100% | Constant “FW26” across all 960 records |
| care_instructions | String | 100% | Constant “Specialist Leather Clean” across all 960 records |
| description | Text | 100% | Product editorial description and styling notes |
| itemurl | URL | 100% | Canonical Farfetch product detail URL |
| imageurl1 | URL | 100% | Primary high-res product photo |
| imageurl2 | URL | 100% | Secondary angle / styling photo |
| imageurl3 | URL | — | Not published by the source; column preserved, values empty |
| imageurl4 | URL | — | Not published by the source; column preserved, values empty |
| imageurl5 | URL | — | Not published by the source; column preserved, values empty |
| designer_style_id | String | 100% | Designer brand style code |
| model_measurements | String | — | Not published by the source; column preserved, values empty |
| supplier_color | String | 100% | Constant “Neutral” across all 960 records — not a per-item attribute |
| breadcrumbs | String | 100% | Navigation taxonomy path |
| raw_html_url | URL | — | Not published by the source; column preserved, values empty |
Data notes & known caveats
- This snapshot covers women’s handbags only (category2 has two values, Bags at 50%). It is not an all-category fashion catalogue.
- Eleven schema columns carry a single constant value across all 960 records (composition, made_in, season, care_instructions, color, size, gender, supplier_color, discount_pct, in_stock, category1). They are flagged in the table and should not be used as variables.
- Five columns are empty: imageurl3, imageurl4, imageurl5, model_measurements, raw_html_url. They remain in the file to keep the 35-column FASHION-PDP contract intact.
- 100% public luxury e-commerce catalog data. Zero consumer or personal data.
Commercial Licensing & Delivery Options
Available for luxury market intelligence analysts, hedge funds tracking luxury retail momentum, brand pricing strategists, and resale platforms.
Automated scheduled pushes to your private AWS S3 bucket with receipt validation.
Programmatic query access filtered by designer brand, category, or price range.
One-time snapshot delivery in CSV (semicolon, UTF-8-SIG) or Parquet.