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Big Basket India Daily Pin-Code Pricing & Availability Dataset

Q: Is inventory a unit count?

Not in these 22 columns — Availability is a status. Our Blinkit and Zepto store-level datasets carry real unit counts and we can add the same here on a custom feed, scoped free.

Q: Why are type and Tier empty?

They came through empty across the whole supplied sample. type is meant to distinguish delivery models and can be populated on request.

A daily file of Big Basket with 22 columns covering MRP, selling price, discount percentage, grammage, availability, city, pin-code and dark store — one row per SKU per pin-code, across 26 dark stores in the supplied sample.

Two things stand out in that sample. 26 of 50 rows were out of stock, and prices arrive with real decimals — ₹643.92, ₹266.01 — rather than rounded figures. If your pipeline casts to integer, you will lose that precision silently.

This data is available for download immediately after purchase

The file already exists, because this pipeline runs every morning 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

1.1M rows per run — SKU × pin-code

22 fields, all listed below

This dataset was last updated on 22-Sep-2026

A fresh file every morning · 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 a pin-code pricing and availability file — if you need keyword rank on Big Basket, that is the twice-weekly dataset.

One row per product per pin-code

The grain is geographic. The same SKU appears once for every pin-code tracked, each with its own price and availability.

Grammage parsed as its own column

Pack size sits in grammage — “200 Grams”, “90 pcs”, “500 ml” — rather than inside the product title, so price per unit is arithmetic instead of a parsing exercise.

Prices to two decimal places

Big Basket discounts to fractions of a rupee. ₹266.01 is a real captured price, not a rounding artefact, and the file keeps it.

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 22 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 typecitypincodeDarkstore Id product_urlbrandproduct_namegrammage mrpSelling_priceweekmonth yeardatetimediscount_percentTier Product Image linkAvailability

Sample rows from the real file

Real rows from the sample file, not an illustration. The free sample is 50 SKU-by-pin-code rows with all 22 columns.

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

Coverage

Captured every morning across the pin-codes and dark stores on your feed. The supplied sample spans 17 pin-codes and 26 dark stores across four cities.

City	Pin-codes in sample	Dark stores	Rows	Share out of stock
Pune	6	9	17	47%
Bengaluru	5	8	14	57%
Mumbai	4	6	12	50%
Gurgaon	2	3	7	57%
All cities	17	26	50	52%

Seventeen pin-codes and 26 dark stores is what the sample shows, not what the feed is limited to. Pin-code and store count is what drives the price — tell us which cities matter and we will quote it.

Historical data

The last 30 days come with the dataset. Beyond that we hold Big Basket records from February 2025 onwards for the pin-codes on this feed.

Ask about historical data

Need more data points?

We can extend this dataset beyond the standard 22 columns — inventory as a unit count is the most requested addition, along with category hierarchy, a populated type field and a wider pin-code set.

Request custom fields

“Half our rows were out of stock and we had been reporting Big Basket as a healthy channel. It was healthy in four pin-codes and empty in the rest.”

Rahul Kulkarni · National Sales HeadIndian baby care brand · downloaded the sample, bought the same day

What people use this dataset for

FMCG brands

Verify that your SKUs are actually listed and in stock in the pin-codes your distributors claim to cover.

Sales and distribution teams

Find the pin-codes where a listing has silently dropped out, before the sales number tells you.

Category teams

Compare your availability against competitor brands in the same pin-code, run over run.

Analysts

Build a real distribution and pricing series for a platform whose reach extends well past the metros.

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

Maintenance is ours. When Big Basket 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 Big Basket distribution data

Big Basket is Tata's online grocery platform and operates both a scheduled-delivery model and a quick-commerce arm. It reaches further into non-metro India than most of its competitors, which makes its availability data genuinely informative about distribution rather than just pricing.

Why the out-of-stock rate matters more than the price

In the supplied sample 26 of 50 rows were out of stock — slightly over half — spread across four cities rather than concentrated in one. That is a distribution finding, and it is invisible in any national or city-level view. A brand reading a city-level average would see partial availability and assume soft demand; the pin-code view shows which specific areas are empty.

Decimal prices are real, not noise

Big Basket discounts to fractions of a rupee: ₹643.92 against a ₹1,170 MRP, ₹266.01 against ₹295. Most platforms round. If your loading pipeline casts price to an integer you will silently lose that, and your discount calculations will drift by a few percent against the platform's own figures.

What the empty columns mean

type and Tier came through empty across the whole supplied sample. type is intended to distinguish delivery models and can be populated on request; Tier is a city classification that is not currently filled for this source.

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

In the supplied sample 26 of 50 were, spread across four cities rather than concentrated in one. At pin-code grain that is the normal pattern for a long-tail catalogue, and surfacing it is the point of the file rather than a flaw in it.

Because Big Basket discounts to fractions of a rupee — ₹643.92, ₹266.01. Those are real captured prices. If your pipeline casts to integer you will lose the precision and your discount maths will drift.

Not in these 22 columns — Availability is a status. Our Blinkit and Zepto store-level datasets carry real unit counts and we can add the same here on a custom feed, scoped free.

They came through empty across the whole supplied sample. type is meant to distinguish delivery models and can be populated on request.

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 records from February 2025 onwards for the 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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Big Basket India Daily Pin-Code Pricing & Availability Dataset

What you get, in plain terms

One row per product per pin-code

Grammage parsed as its own column

Prices to two decimal places

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 brands

Sales and distribution teams

Category teams

Analysts

About Big Basket distribution data

Why the out-of-stock rate matters more than the price

Decimal prices are real, not noise

What the empty columns mean

Is collecting this data legal?

Frequently asked questions

Why are so many rows out of stock?

Why do prices have decimals?

Is inventory a unit count?

Why are type and Tier 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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