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Search Nykaa exactly as a shopper does and get the product grid: the price actually paid, the printed MRP, the real discount, rating and rating count, shade count, stock and the product id. Two things this action does for you: it reads the same index the website shows (a cheaper keyword route on the same host answers 0 for 'nykaa foundation', where the site answers 116), and when Nykaa redirects a head term such as 'lipstick' to a category it follows that and tells you, so you get the catalogue instead of nothing. 🔴 Nykaa server-renders only the FIRST 20 matches of a search: `total_results` is its own count, and a deeper walk goes through `category` with the `category_id` this action hands back.
What a shopper would type on nykaa.com — a product, a brand, a category, or a concern phrase such as 'serum for oily skin'.
Result order. Nykaa's own default is `popularity`. It refuses any order it does not know, so these seven are all that exist.
Lowest selling price in INR. Use with `price_max`; the source takes the pair as one band. (0–)
Highest selling price in INR. Measured on the Lipstick category: 718 products unfiltered, 295 under 500, 84 between 1000 and 1999. (1–)
Only products discounted by at least this percentage. Measured on Lipstick: 718 unfiltered, 453 discounted at all, 184 at 20 % or more, 92 at 30 %, 36 at 40 %. (0–90)
Only products whose average customer rating is at least this many stars (1-4; Nykaa publishes no 5-only filter). Measured on the query 'kajal waterproof': 329 unfiltered, 309 at 3+, 278 at 4+. (1–4)
Narrow to one brand. The id comes from `facets.brand` on this action (set `include_facets`) or from `brands`. Measured: brand 3899 in category 249 returns exactly the 26 the facet promises. Nykaa offers no brand facet on a KEYWORD search, only on a category or brand listing.
Narrow to one colour family; the id comes from `facets.color`. 🔴 This one matches at SHADE level, so on a category its own count can exceed the unfiltered product count.
Finish, e.g. matte / creme / satin / glossy. Id from `facets.finish`. Measured on Lipstick: 454 of 718 are matte.
Skin or hair concern (acne, pigmentation, dryness, hair fall). Id from `facets.concern` — this is the axis Indian beauty shoppers actually buy on.
Formulation (liquid, cream, powder, pencil, gel). Id from `facets.formulation`.
Hero ingredient (hyaluronic acid, niacinamide, salicylic acid, retinol). Id from `facets.ingredient_v1`.
Gender the product is listed for. Id from `facets.gender` (10711 female, 10712 unisex on the categories measured).
ISO country code of manufacture, as Nykaa files it. Id from `facets.country_of_origin` — 'IN' and 'KR' are the two a buyer of Indian beauty data usually wants.
Claim or preference (paraben free, cruelty free, vegan, dermatologically tested). Id from `facets.preference`.
Skin type the product is listed for (oily, dry, normal, combination, sensitive). Id from `facets.skin_type`.
Also return `facets`: every filter Nykaa offers for this listing — brands, colours, finishes, concerns, ingredients, formulations, price bands, ratings, discounts, country of origin — each with its id and the number of products behind it. This is where every `*_id` parameter above comes from.
curl -X POST https://api.reefapi.com/nykaa/v1/search \
-H "x-api-key: $REEF_KEY" \
-H "content-type: application/json" \
-d '{"query":"maybelline mascara"}'Press Send request to see the live result here.
Not sure what to send? Ask Reef AIWhat you can run here, without an account
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