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Zepto India Weekly Pin-Code Availability & Pricing Dataset

Q: What is the difference between Status and Availability?

Status says whether the product page was found; Availability says whether it can be bought. In the supplied sample all 50 rows read Found while 23 were out of stock.

A weekly file built for breadth rather than frequency — 23 columns across 41 pin-codes and 39 dark stores, with grammage parsed out, inventory as a unit count, and separate Status and Availability fields.

This is the file to take if the question is where you are listed at all. In the supplied sample 23 of 50 rows were out of stock across 41 pin-codes — at national spread that is a distribution finding, not 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

740,000 rows per run — product × pin-code

23 fields, all listed below

This dataset was last updated on 03-Oct-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. This file trades frequency for geographic spread — 41 pin-codes in the sample against 5 stores in the twice-daily file.

Wide pin-code spread

41 pin-codes and 39 dark stores in the supplied sample, from Hyderabad to Ahmedabad. Built to answer where you are listed, not how price moved today.

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.

Grammage parsed as its own column

Pack size sits in grammage — “1 set”, “1 pack” — rather than inside the product title, so price per unit is arithmetic.

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 23 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.NoProduct Idplatformdate citypincodeDarkstore Idproduct_url brandproduct_namegrammagemrp Selling_priceweekmonthyear datetimediscount_percentTierProduct Image link InventoryStatusAvailability

Sample rows from the real file

Real rows from the sample file, not an illustration. The free sample is 50 product-by-pin-code rows with all 23 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 pin-codes on your feed. The supplied sample spans 41 pin-codes and 39 dark stores nationally, deliberately wide rather than deep.

Region	Example pin-codes in sample	Dark stores	Share out of stock
Telangana	500049, 500032	8	62%
Gujarat	380019, 382470	7	57%
Maharashtra	400012, 411045	8	44%
Karnataka	560013, 560100	7	43%
Delhi NCR	110045, 201301	5	40%
Other states	9 further pin-codes	4	48%

Forty-one pin-codes is what the sample shows, not what the feed is limited to. Pin-code count is what drives the price — tell us which areas matter and we will price the file around them.

Historical data

The last 30 days come with the dataset. Beyond that we hold Zepto pin-code records from February 2025 onwards. Ask and we will confirm exactly what exists for your pin-codes.

Ask about historical data

Need more data points?

We can extend this dataset beyond the standard 23 columns — a populated city and tier column is the most requested addition, along with category hierarchy, competitor SKU matching and a wider pin-code set.

Request custom fields

“We were arguing about price when the real problem was that we were out of stock in nearly half the pin-codes we thought we covered. Seeing forty-one at once ended the argument.”

Harpreet Singh · Regional Sales HeadIndian toys and games brand · downloaded the sample, bought the same week

What people use this dataset for

Brands checking distribution

Find the pin-codes where you are absent or permanently out of stock, before the sales number tells you.

Sales and channel teams

Verify that coverage claimed by distributors matches what a customer in that pin-code actually sees.

Category teams

Compare your availability against competitor brands across a wide geographic spread, week over week.

Analysts

Build a national availability 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 pin-code availability data

Zepto fulfils from local dark stores, so whether a product exists for a customer depends entirely on their pin-code. A weekly file covering many pin-codes answers a different question from a twice-daily file covering a few stores, and most brands need the first before the second.

Why out-of-stock rates look high here

In the supplied sample 23 of 50 rows were out of stock across 41 pin-codes. That is not a data problem — at national spread, across a long-tail category, most pin-codes do not carry most SKUs. It is exactly what the file exists to surface, and it is invisible if you only sample the metros where your distribution is strongest.

Status and Availability are two different fields

Status records whether the product page was found at all; Availability records whether it can be bought. In the supplied sample all 50 rows read Found while 23 were out of stock — a product can be listed and unbuyable, which is a different problem from not being listed. Keeping them apart is what lets you tell a distribution gap from a stock-out.

What the empty columns mean

city and Tier came through empty across the whole supplied sample. The pin-code is present on every row so city can be derived, but if you need it as its own column say so and we will populate it.

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

Because the file is deliberately wide. In the supplied sample 23 of 50 rows were out of stock across 41 pin-codes — at national spread most pin-codes do not carry most SKUs, and surfacing that is the point of this dataset rather than a flaw in it.

Status says whether the product page was found; Availability says whether it can be bought. In the supplied sample all 50 rows read Found while 23 were out of stock.

They came through empty across the whole supplied sample. Pin-code is on every row so city can be derived, but if you need it as its own column say so and we will populate it.

The supplied sample spans 41. The live feed covers whatever set you need and pin-code count is the main thing that drives the cost.

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 Weekly Pin-Code Availability & Pricing Dataset

What you get, in plain terms

Wide pin-code spread

Inventory as a unit count

Grammage parsed as its own column

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

Brands checking distribution

Sales and channel teams

Category teams

Analysts

About Zepto pin-code availability data

Why out-of-stock rates look high here

Status and Availability are two different fields

What the empty columns mean

Is collecting this data legal?

Frequently asked questions

Why are so many rows out of stock?

What is the difference between Status and Availability?

Why are city and Tier empty?

How many pin-codes can you cover?

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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