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Trust & CompanyNykaa Fashion India Daily Product Attribute & Pricing Dataset
A daily file with an unusually deep attribute schema — 37 columns in which seventeen describe the garment itself: gender, occasion, fit, pattern, sleeve type, waist rise, neckline, length, material, size, colour and a colour hex code, alongside MRP, price, discount and ratings.
Most fashion datasets give you a title and a price and leave you to parse the rest out of the product name. This one has already done it. If you are building a catalogue, a recommendation engine or an assortment model, that parsing is the work.
The file already exists, because this pipeline runs every morning whether you buy it or not. Most vendors start collecting after you order — which is why they quote a lead time. Here the most recent file is in your account within minutes of payment, with an API key issued at the same time.
What you get, in plain terms
Four things. This is an attribute dataset as much as a pricing one — it is the file to take if you are building a catalogue rather than watching a price.
Seventeen garment attributes, already parsed
Occasion, fit, pattern, sleeve type, waist rise, neckline, length, material and more — each in its own column rather than buried in the product title.
Colour as a hex code, not just a name
Hex Code sits alongside Colour, which is what makes colour genuinely comparable across brands that all invent their own names for beige.
Size and colour options listed
Size Option and Color Option carry the full run — “XS | S | M | L | XL” — so you can see assortment depth without a second call.
However you want it
Direct download, REST API, Amazon S3, Google Cloud, Snowflake or SFTP. The API key comes with the dataset.
Fields included in this dataset
All 37 columns, in the exact order they appear in the file — taken straight from the sample, not from a brochure. The free sample ships with a data dictionary giving an example value for each one.
Sample rows from the real file
Real rows from the sample file, not an illustration. The free sample is 50 products with all 37 columns.
Coverage
Captured every morning across the catalogue on your feed. The supplied sample spans 39 brands across apparel, footwear and accessories.
| Dimension | In the supplied sample | What it tells you |
|---|---|---|
| Brands | 39 | Breadth across price tiers, from Ray-Ban to independent labels |
| Gender split | 41 female, 9 male | Where the platform's assortment actually sits |
| Top-level categories | Apparel, Accessories, Footwear | Three L1 categories, with L2 and L3 beneath |
| Distinct size runs | 15 | How varied assortment depth is across the catalogue |
| Distinct colour options | 15 | Colour breadth, with hex codes for comparison |
| Rows with a rating | 4 of 50 | Fashion reviews are thin — treat rating as a weak signal |
Thirty-nine brands is what the sample shows, not what the feed is limited to. Send your brand list and we will price a narrower file, which costs considerably less than the full catalogue.
Historical data
The last 30 days come with the dataset. Beyond that we hold Nykaa Fashion records from February 2025 onwards — enough to cover a full festive and end-of-season cycle.
Ask about historical dataNeed more data points?
We can extend this dataset beyond the standard 37 columns — one row per size rather than per product is the most requested change, along with populated manufacturer identifiers and seller-level pricing.
Request custom fields“We had two engineers writing regex to pull sleeve type and neckline out of product titles. This file had both as columns and we deleted the regex.”
What people use this dataset for
Catalogue and data teams
Skip the parsing. Garment attributes arrive structured, so enrichment becomes a join rather than a project.
Merchandising and buying
Analyse assortment by occasion, fit, material or colour rather than by title keyword.
Recommendation and search teams
Feed real attributes into similarity and filtering models instead of inferring them.
Competitive intelligence
Compare rivals' assortment depth by size run and colourway, brand by brand.
About Nykaa Fashion attribute data
Nykaa Fashion is the apparel and accessories arm of Nykaa, sitting alongside its beauty platform. Because it is a curated marketplace rather than a pure aggregator, its product pages carry unusually complete attribute data — which is what makes this dataset worth having in the shape it is.
Why parsed attributes are the whole point
A title like “Women Denim Black High Waist Straight Jeans” contains fit, waist rise, colour, material and gender, and every team that needs them ends up writing the same brittle parser. This file carries seventeen attribute columns already extracted — Occasion, Fit/Style/Type, Pattern, Sleeves/ Sleeves Type, Waist rise, Neckline/collar Type, Length, Material and more. That is the expensive part of catalogue work, done.
Why the colour hex code matters
Every brand invents its own colour names, and “Beige”, “Sand” and “Nude” may be the same shade. Hex Code gives you a comparable value, which makes colour trend analysis and visual similarity possible without a manual mapping table.
Ratings are thin in fashion
Only 4 of the 50 sampled products carried any rating. That is normal — apparel shoppers review far less than beauty shoppers, and new listings launch with none. Treat Rating as a weak signal here and lean on price, discount and assortment instead.
What the empty columns mean
MPN and UPC or EAN came through empty across the whole supplied sample. Indian fashion listings rarely publish manufacturer part numbers or barcodes. If you need to join to your own master data, SKU and Item Number are populated and are the practical keys.
Is collecting this data legal?
Collecting publicly visible product and price information is generally lawful in most jurisdictions. Actowiz collects only public pages, respects robots.txt and platform terms, holds no personal data, and aligns with GDPR and CCPA. We are ISO 9001 and ISO 27001 certified, and this dataset carries documented provenance so your legal team can review the source before you buy.
Frequently asked questions
SKU and Item Number are populated and are the practical join keys.
Size Option carrying the full run as a single field. One row per size, each with its own stock status, is the most requested change and we scope it free.
Your Data Needs
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Free Sample in 2 HoursShare your requirement, get 500 rows of real data — no commitment. -
Plans from $500/monthFlexible pricing for startups, growing brands, and enterprises. -
US-Based SupportOffices in New York & California. Aligned with your timezone. -
ISO 9001 & 27001 CertifiedEnterprise-grade security and quality standards.