We extract product listings, ingredient lists, shade matrices, pricing signals, influencer-attributed reviews, and brand catalogue data from Nykaa. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Listings objects from nykaa.com. All fields typed and schema-versioned.
"product_id": "NYK-91824", "title": "Lakme 9to5 Weightless Matte Mousse Lip & Cheek Color", "brand": "Lakme", "price": 395, "mrp": 499, "currency": "INR", "discount_pct": 21, "shade_count": 14, "finish_type": "Matte", "skin_type_tags": "All Skin Types", "rating": 4.3, "review_count": 11482
| # | product_id | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Ingredients & Formulation objects from nykaa.com. All fields typed and schema-versioned.
"product_id": "NYK-91824", "key_ingredients": "Vitamin E, Shea Butter, Hyaluronic Acid", "free_from_claims": "Paraben-Free, Sulphate-Free", "cruelty_free": true, "vegan": false, "dermatologist_tested": true, "skin_type_tags": "Dry, Normal", "concern_tags": "Pigmentation, Dullness", "expiry_period": "24 months"
| # | product_id | ingredient_list | key_ingredients | free_from_claims | certifications | skin_type_tags |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Reviews & Ratings objects from nykaa.com. All fields typed and schema-versioned.
"review_id": "nyk_rv_3301872", "product_id": "NYK-91824", "star_rating": 5, "verified_purchase": true, "shade_reviewed": "Rose Rush", "skin_type_self_reported": "Combination", "skin_tone_self_reported": "Medium", "influencer_flag": false, "review_date": "2026-04-14"
| # | review_id | product_id | reviewer_name | verified_purchase | star_rating | review_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Brand Catalogue objects from nykaa.com. All fields typed and schema-versioned.
"brand_id": "dot-key", "brand_name": "Dot & Key", "nykaa_exclusive": true, "brand_origin_country": "India", "total_products": 148, "avg_rating": 4.4, "price_tier": "mid-premium", "is_indie": true, "is_ayurvedic": false
| # | brand_id | brand_name | brand_url | nykaa_exclusive | brand_origin_country | total_products |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Search & Rankings objects from nykaa.com. All fields typed and schema-versioned.
"keyword": "vitamin c serum", "position": 1, "product_id": "NYK-91824", "bestseller_badge": true, "nykaa_choice_badge": true, "nykaa_exclusive_badge": false, "sponsored": false, "price": 395, "scraped_at": "2026-05-12T07:30:11Z"
| # | keyword | category_path | position | product_id | title | brand |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Nykaa is India's most data-rich beauty platform. Our scraper goes beyond price and title — capturing ingredient lists, shade matrices, skin-type compatibility tags, and the influencer-review layer that drives purchasing decisions.
Ingredient lists, key actives, free-from claims, cruelty-free and vegan flags, SPF values, finish type, and dermatologist-tested badges — the data beauty R&D and compliance teams actually need.
Every shade name, shade hex code, finish, coverage level, and stock status — mapped from parent product to individual SKU. Essential for shade gap analysis and trend tracking.
Capture price, MRP, discount percentage, Nykaa sale pricing, free-shipping eligibility, and Pink Friday / End of Season Sale events — timestamped per crawl.
Reviews include self-reported skin type, skin tone, and shade reviewed — making Nykaa reviews uniquely valuable for formulation validation and personalisation models.
Brand origin, Nykaa-exclusive status, price tier, luxury / indie / ayurvedic classification, homepage featuring, and full product catalogue — per brand.
Track organic vs sponsored position for any keyword or category — with Bestseller, Nykaa's Choice, and New Launch badge capture.
Products are tagged with skin concern (acne, pigmentation, dullness, ageing) and skin type (oily, dry, combination, sensitive) — critical for building personalisation recommendation layers.
Monitor Pink Friday, End of Season Sale, Nykaa Birthday, and flash sale price movements — with pre/during/post event snapshots per SKU.
Nykaa Beauty, NykaaMan, and Nykaa Fashion covered from a single pipeline — normalised into a consistent schema with property-level tagging.
Brief in. Clean data out.
Provide brand lists, category URLs, keyword sets, or specific product IDs. We design the extraction schema — including which formulation fields matter most.
We configure Scrapy / Playwright crawlers with Indian residential proxies, shade-variant traversal logic, and ingredient text parsing.
Schema validation, ingredient null-rate checks, shade-count verification, and sample review quality review before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Nykaa's beauty catalogue has unique complexity — shade matrices, ingredient text, and influencer review layers that most scrapers flatten or miss entirely.
Nykaa product pages load shade-specific price, stock status, and images via JavaScript interactions. Our Playwright sessions click through every shade option and record the resulting state — so you get a full SKU-level dataset, not just the parent product's default view.
Ingredient lists on Nykaa are unstructured strings. Our post-processing pipeline parses INCI names, identifies key actives, and normalises free-from claims into structured fields — ready for formulation analysis or regulatory compliance checks.
Nykaa's product pages, shade swatches, and review sections are React-rendered. We run full Playwright sessions to capture lazy-loaded review content, dynamically injected pricing, and concern/skin-type filter tags that HTTP clients miss entirely.
Nykaa Beauty, NykaaMan, and Nykaa Fashion have different page structures. Our selector strategy uses multi-layer fallback chains per field and per property — so a layout change on one property doesn't break the others.
Every run emits structured logs to our observability stack. We alert on ingredient null-rate spikes, shade-count drops, price outliers, and coverage gaps — and respond before you notice.
Brands track competitor pricing, new launch velocity, shade range gaps, and review sentiment across categories — to inform product development and pricing strategy.
R&D and regulatory teams extract ingredient lists and free-from claims at scale — to benchmark formulations, track trending actives, and support compliance audits.
Distributors and retail buyers track which brands and SKUs are gaining shelf velocity on Nykaa — using review count growth and discount patterns as demand proxies.
ML teams train skin-type and concern-based recommendation engines using Nykaa's uniquely rich review metadata — skin tone, skin type, and shade reviewed per review.
International beauty brands use Nykaa data to identify whitespace in India's beauty market — by category, price tier, and ingredient positioning — before committing to distribution.
Analysts track brand catalogue growth, review velocity, and indie-brand penetration on Nykaa as leading indicators for India's beauty market trajectory.
"Nykaa's beauty catalogue is the richest source of formulation, shade, and consumer sentiment data in Indian eCommerce — but almost none of it is structured out of the box."
Extracting real value from Nykaa requires shade-level traversal, ingredient text parsing, skin-type taxonomy normalisation, and per-review metadata extraction. Most scraping tools stop at price and title. DataFlirt delivers a complete, formulation-aware Nykaa dataset — structured and ready for analysis.
Everything supported by our nykaa.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration, deduplication, and retry logic. Playwright drives shade traversal, JavaScript rendering, and cookie sessions. A custom INCI parser normalises ingredient strings into structured fields post-extraction.
We maintain pools of Indian residential ISP proxies. Rotation happens per-request with sticky sessions for shade traversal flows. IP score monitoring prevents blacklisted pool contamination.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About nykaa.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Nykaa is generally permissible under applicable law in India — reinforced by precedents such as hiQ v. LinkedIn. DataFlirt targets only public, non-authenticated product, pricing, ingredient, and review data. We do not extract personal data or circumvent authentication walls. We recommend clients review Nykaa's ToS independently and consult legal counsel for specific use cases.
Yes. Our pipeline includes a post-processing INCI parser that normalises raw ingredient text into structured fields: ordered ingredient list, identified key actives, detected preservatives, and free-from claim extraction. Output is a clean array per product — not a raw string.
Yes. Our Playwright sessions traverse every shade option on a product page and record price, stock status, and shade-specific image URL for each — including shades that are currently out of stock. This gives you a complete shade matrix rather than just the in-stock default.
Yes. We run elevated-frequency crawls during Nykaa Pink Friday, End of Season Sale, Nykaa Birthday, and flash sale events — capturing price, discount depth, and stock signals at the SKU level with pre/during/post event snapshots.
Yes. Our pipeline covers Nykaa Beauty, NykaaMan, and Nykaa Fashion from a unified architecture — delivered via a single normalised schema with a property-level tag per record so you can filter by vertical downstream.
Yes. We provide a sample run of up to 500 products — including full ingredient, shade, and review data — as part of pre-engagement scoping, so you can validate schema fit and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full brand catalogue with formulation data, a continuous price-monitoring feed, or a shade-level SKU matrix — we scope, build, and operate the pipeline. Tell us what you need.
