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Zepto India Thrice a Week Store, Pricing & Inventory Dataset

Q: Why are SKU Name and Variation_ID empty?

They came through empty across the whole supplied sample. Product Name and Product ID are populated on every row, so nothing is lost.

The same dark-store extract as our twice-daily Zepto file — 21 columns with MRP, selling price, discount, pack quantity, stock status and inventory as a real unit count — delivered Monday, Wednesday and Friday.

Three files a week is the sensible middle. Frequent enough to catch a store running down before it empties, cheap enough to run across a few hundred stores rather than a handful. In the supplied sample 8 of 50 rows were already at zero.

This data is available for download immediately after purchase

The file already exists, because this pipeline runs three mornings a 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

1.2M rows per run — product × dark store

21 fields, all listed below

This dataset was last updated on 03-Oct-2026

Delivered Monday, Wednesday and Friday · 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. Same columns as the twice-a-day file, on a schedule most teams can actually act on.

Inventory as a unit count

Not an in-stock flag. inventory carries the actual number of units the store holds — 0 through 6 in the supplied samples — which is the difference between knowing a product is low and finding out it has gone.

Dark store, not city

Every row names the Store ID and pin-code that served it. Zepto fulfils locally, so price and stock are store facts rather than national ones.

Three mornings a week

Monday, Wednesday and Friday before 9am IST. Frequent enough to see a store draw down across the week without paying for readings nobody opens.

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 21 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.

Sr.NoPlatformPIN CodeArea CityStore IDProduct IDBrand Name Category NameProduct NameProduct URLSKU Name Product ImageMRPProduct PriceDiscount QuantityIn-stockOthersVariation_ID inventory

Sample rows from the real file

Real rows from the sample file, not an illustration. The free sample is 50 product-by-store rows with all 21 columns.

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

Coverage

Captured three mornings a week across the dark stores and pin-codes on your feed. The supplied sample spans 5 stores across 3 Mumbai pin-codes.

Pin-code	Dark stores	Rows in sample	In stock	Inventory range
400003	3	24	20	0 – 6
400012	1	14	12	0 – 4
400018	1	12	10	0 – 3
All pin-codes	5	50	42	0 – 6

Five stores is what the sample shows, not what the feed is limited to. Store count is what drives the price — most clients run several hundred. Tell us the cities and we will quote it.

Historical data

The last 30 days come with the dataset, at full twice-daily granularity. Beyond that we hold Zepto store-level records from February 2025 onwards.

Ask about historical data

Need more data points?

We can extend this dataset beyond the standard 21 columns — a populated SKU name and category tree are the most requested additions, along with competitor SKU matching and delivery fee capture.

Request custom fields

“Daily was more than our team could act on and weekly was too slow to catch a store emptying. Three times a week matched the replenishment cycle we already ran on.”

Anjali Kulkarni · Supply Planning LeadIndian frozen desserts brand · downloaded the sample, bought the same week

What people use this dataset for

FMCG and grocery brands

See which dark stores hold your stock, how many units, and where you have quietly gone to zero.

Pricing teams

Compare price store by store rather than assuming a national figure.

Supply and replenishment

Use real unit counts to spot draw-down before a stock-out rather than after it.

Analysts

Build a store-level availability and price series for one of India's three largest quick-commerce platforms.

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

Maintenance is ours. When Zepto 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 Zepto dark-store data

Zepto is one of the three platforms that decide grocery pricing in urban India, alongside Blinkit and Swiggy Instamart. All three fulfil from local dark stores, so price and availability are store facts rather than national ones — and a single national figure for Zepto describes nothing any customer actually experienced.

Why a unit count beats an in-stock flag

A boolean tells you the state now. A count tells you the trajectory. In the supplied sample counts ran from 0 to 5 units per store. Watching a store move from 5 to 2 to 0 across captures is a replenishment story you can act on; watching true become false is not.

Zepto discounts differently from its competitors

In the supplied samples the same ₹400 ice cream sold at ₹301 in the twice-daily file and ₹332 in the thrice-weekly one, captured days apart. On the other platforms that same product sat at ₹332 throughout. If you benchmark against one platform and assume the others match, you will be wrong by around ten percent.

A note on store identifiers

Zepto store IDs are UUIDs — 28e68619-7eda-4c1e-a68e-a58f9d617976 — rather than short numeric codes. They are stable across runs, so they join fine, but they are wider than you might expect if you are sizing a column.

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

Monday, Wednesday and Friday, each before 9am IST. If a run is late you are told by email before you notice, and a missed delivery extends your period by a day.

Yes. It carries the number of units the store holds — 0 through 6 in the supplied sample — rather than a true/false flag.

Yes, at any point. The column set is identical so nothing downstream breaks, and we prorate the difference rather than charging you twice.

They came through empty across the whole supplied sample. Product Name and Product ID are populated on every row, so nothing is lost.

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 Zepto records from February 2025 onwards for the stores, pin-codes or keywords 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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Zepto India Thrice a Week Store, Pricing & Inventory Dataset

What you get, in plain terms

Inventory as a unit count

Dark store, not city

Three mornings a week

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

FMCG and grocery brands

Pricing teams

Supply and replenishment

Analysts

About Zepto dark-store data

Why a unit count beats an in-stock flag

Zepto discounts differently from its competitors

A note on store identifiers

Is collecting this data legal?

Frequently asked questions

Which days do the files arrive?

Is inventory really a unit count?

Can I switch to the twice-a-day feed later?

Why are SKU Name and Variation_ID empty?

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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