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Nykaa Fashion India Weekly Pricing, Offers & Compliance Dataset

Q: Is this one row per size?

No — one row per product, with Available_sizes carrying the live 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.

The widest Nykaa Fashion file we run — 41 columns covering price, MRP, discount, bank offers, available sizes, other colourways, return policy, minimum order quantity and the full manufacturing block: packer, seller, importer, manufacturer and country of origin.

That manufacturing block is what makes this file different. India's Legal Metrology rules require those declarations on every listing, and they are captured on all 50 rows of the supplied sample — which makes this as much a compliance dataset as a pricing one.

This data is available for download immediately after purchase

The file already exists, because this pipeline runs every week 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.

$499.00per month

All prices are in USD · GST or VAT added on the invoice

520,000 products per run

41 fields, all listed below

This dataset was last updated on 20-Sep-2026

A fresh file every week · cancel any time

Excel and CSV included · JSON and Parquet on request

Please download the sample first and check the fields against what you need. Data files are not refundable once delivered.

VISA · MASTERCARD · AMEX · UPI · NET BANKING

Fields Sample rows Coverage Historical FAQ Add to cart · $499.00

What you get, in plain terms

Four things. Take this file if compliance, offers or size availability matter to you more than daily price movement.

Full manufacturing and origin block

Packer, seller, importer, manufacturer and country of origin as separate columns. Populated on every row of the supplied sample — useful for Legal Metrology and sourcing audits.

Bank offers on every row

bank_offers was filled on all 50 sampled rows. These stack on top of the listed price, so a brand benchmarking on price alone understates the real discount.

Available sizes and other colourways

Available_sizes carries the live size run — “XS | S | M | L | XL | 2XL” — and More_colours the sibling colourways, so assortment depth is one field away.

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 41 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.

Idproduct_idcatalog_namecatalog_id sourcescraped_dateproduct_nameimage_url category_hierarchyproduct_pricearrival_dateshipping_charges is_sold_outdiscountmrppage_url product_urlnumber_of_ratingsavg_ratingposition country_codeimagesBest_priceBest_offers bank_offersproduct_detailsspecificationsrating MOQbrandproduct_codeAvailable_sizes sellerPartnerIdseller_return_policymanufacturing_info_packerInfomanufacturing_info_seller_name manufacturing_info_importerInfomanufacturing_info_countryOfOriginmanufacturing_info_manufacturerInfoMore_colours variation_id

Sample rows from the real file

Real rows from the sample file, not an illustration. The free sample is 50 products with all 41 columns.

Sample is free, no signup and no card. Check the fields before you buy — files are not refundable once delivered.

Coverage

Captured weekly across the catalogue on your feed. The supplied sample follows one brand in depth rather than spreading thin.

Field	Filled in sample	Why it matters
`bank_offers`	50 of 50	Stacks on top of listed price — the real discount
`Available_sizes`	50 of 50	Live size run, not the full catalogue size list
`manufacturing_info_countryOfOrigin`	50 of 50 (India)	Legal Metrology declaration
`More_colours`	14 of 50	Sibling colourways, where the product has them
`is_sold_out`	36 live, 14 sold out	Listing-level availability
`Best_price` / `Best_offers`	0 of 50	Not currently populated — see the FAQ

One brand in depth is what the sample shows, not what the feed is limited to. Send your brand list and we will price a narrower file, or take the full catalogue.

Historical data

The last 30 days come with the dataset. Beyond that we hold Nykaa Fashion records from February 2025 onwards. Tell us the brands and we will confirm exactly what exists.

Ask about historical data

Need more data points?

We can extend this dataset beyond the standard 41 columns — one row per size with its own stock status is the most requested change, along with populating the best-price fields and adding seller-level pricing.

Request custom fields

“We needed country-of-origin declarations across two thousand listings for a compliance review. This file had them on every row and the review took a morning instead of a quarter.”

Rhea Shah · Compliance LeadIndian apparel group · downloaded the sample, bought the same week

What people use this dataset for

Compliance and legal teams

Audit Legal Metrology declarations — packer, importer, manufacturer and country of origin — across a whole catalogue at once.

Pricing and promotion teams

Measure the real discount, including the bank offers that stack on top of the listed price.

Merchandising

See live size availability and sibling colourways per product rather than the catalogue's theoretical size list.

Sourcing and procurement

Map country of origin and manufacturer across a category to understand where a market is actually supplied from.

No procurement cycle. Card payment, invoice on the spot. Most buyers are querying data the same afternoon.

Maintenance is ours. When Nykaa Fashion changes its layout, the file you receive does not change shape.

Analysis-ready. Loads straight into Excel, Power BI, Tableau, BigQuery or a pandas notebook.

Cancel whenever. The feed runs to the end of the period you paid for, then stops. No notice, no fee.

About Nykaa Fashion compliance and offer data

Nykaa Fashion is the apparel arm of Nykaa. Its listings carry an unusually complete set of declarations, partly because Indian Legal Metrology rules require packer, importer, manufacturer and country-of-origin information on e-commerce listings — and those declarations are genuinely useful well beyond compliance.

Why the manufacturing block is worth having

Four separate columns carry packer, seller, importer and manufacturer information, plus country of origin. In the supplied sample all 50 rows were declared India. For a compliance team, this turns a manual listing-by-listing audit into a query. For a sourcing team, it maps where a category is actually supplied from.

Bank offers are the discount you are not measuring

bank_offers was populated on every row of the supplied sample. These apply on top of the listed selling price, so a brand comparing its own realised discount against Nykaa Fashion's displayed price will consistently understate it. The field is kept verbatim rather than resolved into a final price, because which offer applies depends on the customer's card.

Available sizes is the live run, not the catalogue run

Available_sizes carries what can actually be bought at capture — “XS | S | M | L | XL” — rather than every size the product was listed in. That difference is the whole point in fashion, where a style stays visible while its middle sizes clear.

What the empty columns mean

Six columns came through empty across the whole supplied sample: shipping_charges, page_url, position, Best_price, Best_offers and sellerPartnerId. The two best-price fields are the ones people ask about — they are intended to carry the post-offer price and are not currently populated. Use product_price with bank_offers until they are.

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

They came through empty across the whole supplied sample. They are intended to carry the post-offer price and the offer that produced it, and are not currently populated. Use product_price together with bank_offers until they are — and download the sample to confirm before you build on them.

Four columns — packer, seller, importer and manufacturer information — plus country of origin. All were populated on every row of the supplied sample, with country of origin reading India throughout.

No, it is the live one — what can actually be bought at capture. That is deliberate: in fashion a style stays visible while its middle sizes clear, and the difference between listed and buyable is usually the thing you are trying to measure.

No — one row per product, with Available_sizes carrying the live 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.

Immediately. The file already exists because the pipeline runs on its schedule whether you buy it or not. Most vendors start collecting after you order, which is why they quote a lead time — here the current file is in your account within minutes, with an API key.

Yes. 50 real rows with every field and a data dictionary, no signup and no card. Please use it — checking the fields against your own requirement takes five minutes and prevents almost every problem we see.

Excel and CSV are included. JSON and Parquet are available on request at no extra cost.

Yes, and the key comes with the dataset at no extra charge. It is unmetered for the data you have bought, with a fair-use rate limit documented in the API reference.

Data files are not refundable once delivered, which is why the sample matters. One exception: if a delivered file does not match the field list on this page, that is our error and we fix it or refund that month.

Any time from your account. The feed keeps running until the end of the period you have paid for, then stops. No notice period and no cancellation fee.

We email you 30 days before any field is added, renamed or removed, and we never remove one inside a period you have already paid for.

The last 30 days are included. Beyond that we hold Nykaa records from February 2025 onwards for the keywords or products on this feed. Ask and we will confirm exactly what exists for yours.

Internal use across your whole organisation with unlimited seats. Redistributing the data, reselling it, or embedding it in a product you sell needs a separate licence — tell us what you have in mind.

Of course, though nothing on this page requires it. If you would rather have a call before buying, use the contact form and ask for the datasets team.

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Nykaa Fashion India Weekly Pricing, Offers & Compliance Dataset

What you get, in plain terms

Full manufacturing and origin block

Bank offers on every row

Available sizes and other colourways

However you want it

Fields included in this dataset

Sample rows from the real file

Coverage

Historical data

Need more data points?

What people use this dataset for

Compliance and legal teams

Pricing and promotion teams

Merchandising

Sourcing and procurement

About Nykaa Fashion compliance and offer data

Why the manufacturing block is worth having

Bank offers are the discount you are not measuring

Available sizes is the live run, not the catalogue run

What the empty columns mean

Is collecting this data legal?

Frequently asked questions

Why are Best_price and Best_offers empty?

What is in the manufacturing block?

Is Available_sizes the full size run?

Is this one row per size?

How soon can I download the data after paying?

Is the sample really free?

What format does it come in?

Can I get it as an API instead of a file?

Is it refundable?

Can I cancel?

What if the fields change?

Do you have historical data?

What licence do I get?

Can I speak to someone first?

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