Nykaa Data Scraping Services

Luxe and standard are different price architectures

Nykaa operates a premium storefront alongside its main one, and the same category can appear in both at very different price points with different brand sets and different promotional behaviour.

• Brand sets overlap partially, so a brand present in both is positioned differently in each.
• Promotional intensity differs — discounting behaviour on premium is not the same as on mass.
• Assortment depth differs for the same brand across storefronts.
• Merged, price distributions become bimodal and any average describes neither market.

We capture storefront on every record and keep Nykaa Fashion as a separate catalogue entirely, since apparel needs size curves rather than shade curves. Where you want more than one, you get clean separate datasets rather than one merged table with nulls scattered through it.

Shade level, and deep shades specifically

The same structural point as our wider beauty service, and it applies with force in the Indian market: shade is the purchasable unit, and product-level availability inverts the conclusion.

A foundation ranging thirty shades with three left reads as in stock. It has sold out of twenty-seven.

Deep-shade availability is a live commercial and reputational question in Indian beauty specifically, where range depth at the deeper end has been publicly scrutinised. We flag deep_shades_oos separately from the general broken-range flag, and we distinguish not ranged from ranged but unavailable — a shade never stocked is a category conversation with Nykaa, while a ranged shade persistently out is a supply conversation with the brand.

Shade naming has no cross-brand standard, so we parse and retain exactly what is published rather than forcing a scale that does not exist, and derive the deep end per brand and product line from the published range ordering.

Own brands are a large and growing share

Nykaa's own-brand portfolio is substantial and includes brands carrying no reference to Nykaa in the name. Name matching will classify most of them as third-party.

That understates own-brand share and computes the branded-versus-own-brand index against the wrong population — the same failure mode as private label in UK grocery and own-brand at ASOS.

We classify brand_type via maintained mappings covering own brand, Nykaa-exclusive third-party brand, and ordinary third-party. That middle category matters: an exclusive brand is not Nykaa's own product but is not available elsewhere either, and for a brand assessing whether to distribute through Nykaa it is the most relevant comparison set.

Sampling and gift-with-purchase mechanics are captured as structured fields rather than offer text, since in Indian beauty they carry a large share of promotional value and are rarely tracked as mechanics.