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Nykaa India Thrice a Day Product, Pricing & Category Dataset

The highest-frequency Nykaa file we run — three captures a day — with 25 columns covering price, MRP, discount, sold-out status, ratings, a structured category hierarchy, and the matching raw JSON price objects that preserve exactly what the platform returned.

Beauty pricing moves inside the day during sale events. Three readings give you the shape of a day rather than a single frame of it, which is the difference between catching a flash discount and missing it entirely.

This data is available for download immediately after purchase

The file already exists, because this pipeline runs three times a day 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

1.8M rows per day — three captures merged

25 fields, all listed below

This dataset was last updated on 20-Sep-2026

Captured morning, afternoon and evening · 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. This is the file for sale periods and automated repricing — for daily reporting a lighter cadence is enough.

Three readings every day

Morning, afternoon and evening. Flash discounts during Pink Friday activate and expire inside a single day and a once-daily crawl records neither.

Category tree as structured JSON

category_hierarchy arrives as l1/l2/l3 rather than a breadcrumb string you have to split.

Raw JSON price objects kept alongside

product_price_json, mrp_json, discount_json and shipping_charges_json preserve the structure as captured, so nothing is lost when a listing prices unusually.

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 25 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.

product_idcatalog_namecatalog_idsource scraped_dateproduct_nameimage_urlcategory_hierarchy product_pricearrival_dateshipping_chargesis_sold_out discountmrppage_urlproduct_url number_of_ratingsavg_ratingpositioncountry_code othersshipping_charges_jsonproduct_price_jsonmrp_json discount_json

Sample rows from the real file

Real rows from the sample file, not an illustration. The free sample is 50 listings with all 25 columns.

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

Coverage

Captured three times a day across the catalogue on your feed. The table below describes what each capture slot is for.

Capture slot	Local time	What it catches	Why it matters
Slot 1	06:00 – 08:00	Overnight repricing and restocks	Most price changes land here
Slot 2	13:00 – 15:00	Midday deal activations	Flash offers often start at noon
Slot 3	19:00 – 21:00	Evening peak and stock-outs	Highest traffic, most sell-through
All slots	—	Merged into one daily file	Each row carries its own timestamp

Three captures is the cadence, not the coverage. Catalogue size is what drives the price — tell us which categories or product list matters and we will quote it.

Historical data

The last 30 days come with the dataset, at full three-times-daily granularity. Beyond that we hold Nykaa records from February 2025 onwards.

Ask about historical data

Need more data points?

We can extend this dataset beyond the standard 25 columns — shade-level rows with their own price and stock status is the most requested addition in beauty, along with the Luxe storefront flagged separately.

Request custom fields

“During Pink Friday a competitor was dropping price at noon and putting it back by evening. On a daily crawl we never saw it happen once.”

Sneha Desai · Pricing ManagerIndian beauty brand · downloaded the sample, bought the same day

What people use this dataset for

Beauty brands

Track price, discount depth and availability on your own listings and the competitive set, three times a day.

Pricing teams

Catch intraday repricing by competitors, including moves that reverse before the next day's capture.

Category managers

Watch discount depth shift within a sub-category through a sale window.

Analysts

Category-level price and rating series for the largest specialist beauty retailer in India.

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

Maintenance is ours. When Nykaa 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 intraday Nykaa pricing

Nykaa's pricing is not a daily decision, particularly around its sale events. Deals activate at fixed times, competitors reprice through the afternoon, and stock clears in the evening peak. A once-daily crawl records one frame of that and calls it the day.

What three captures a day actually buys you

The ability to see a change that reverses. A flash discount that runs from noon to eight is invisible to a morning-only crawl, and so is a competitor who quietly raises price overnight. If you are running automated repricing or monitoring a sale period, this is the cadence that matches the behaviour you are trying to measure.

What the JSON price columns are for

product_price_json, mrp_json, discount_json and shipping_charges_json preserve the structure as captured, including cases where a listing prices by shade or bundles shipping unusually. The flat columns are what you will query day to day; the JSON columns are there so nothing is discarded.

A note on the supplied sample file

The sample CSV for this feed currently has a quoting fault: unescaped commas and quotes inside the JSON columns shift the remaining fields out of alignment on most rows. The field list on this page is correct and the live feed is not affected, but please ask us for a regenerated sample before you build against it rather than working around the broken one.

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

It is, and we would rather say so than have you discover it. The JSON columns in the current sample contain unescaped commas and quotes, which shifts the remaining fields on most rows. The field list on this page is correct and the live feed is unaffected — ask us for a regenerated sample and we will send one the same day.

Roughly 06:00–08:00, 13:00–15:00 and 19:00–21:00 local time. Every row carries its own scraped_date, so you work with actual capture times rather than nominal slots.

They preserve the price, MRP, discount and shipping structures exactly as captured. The flat columns are what you will query; the JSON is there so nothing is lost when a listing prices by shade or bundles shipping oddly.

Not in these 25 columns. Shade-level rows, each with their own price and stock status, are the most requested addition in beauty and we can build it on a custom feed, scoped 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 India Thrice a Day Product, Pricing & Category Dataset

What you get, in plain terms

Three readings every day

Category tree as structured JSON

Raw JSON price objects kept alongside

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

Beauty brands

Pricing teams

Category managers

Analysts

About intraday Nykaa pricing

What three captures a day actually buys you

What the JSON price columns are for

A note on the supplied sample file

Is collecting this data legal?

Frequently asked questions

The sample file looks misaligned in Excel.

What times are the three captures?

What are the _json columns for?

Does this include shade-level data?

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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