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Amazon Now India Daily Pin-Code Pricing & Availability Dataset

Q: Is inventory count included?

Not in these 22 columns — Availability is a status rather than a unit count. If you need real unit counts, our Blinkit and Zepto store-level datasets carry them and we can add the same here on a custom feed.

A daily file of Amazon Now — Amazon's quick-commerce arm in India — with 22 columns covering MRP, selling price, discount percentage, grammage, availability, city, pin-code and dark store. One row per SKU per pin-code.

The supplied sample spans 29 pin-codes across Delhi NCR and shows something worth knowing before you build a pricing model: the same SKU came back at ₹183 in every single one of them. On this platform, price is currently a national decision, not a local one.

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

920,000 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 Amazon Now, that is a separate 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.

Discount as its own percentage

discount_percent arrives calculated, alongside MRP and selling price, so you can filter on discount depth without deriving it first.

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 on your feed. The supplied sample spans 29 pin-codes across four Delhi NCR cities.

City	Pin-codes in sample	Rows	Availability	Price variance
Delhi	14	24	100% in stock	None — ₹183 throughout
Gurugram	7	12	100% in stock	None
Noida	5	9	100% in stock	None
Greater Noida	3	5	100% in stock	None
All pin-codes	29	50	100% in stock	None

Twenty-nine pin-codes in one metro is what the sample shows, not what the feed is limited to. Pin-code 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. Amazon Now is a newer source, so history runs from March 2026 onwards rather than further back. 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 22 columns — more pin-codes and cities is the usual request, along with category hierarchy, seller name, ratings and inventory counts.

Request custom fields

“We assumed Amazon Now flexed price by area like the others do. Twenty-nine pin-codes of data said otherwise, which changed how we set our own floor.”

Kavya Rao · Digital Commerce LeadIndian personal care brand · downloaded the sample, bought the same week

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 Amazon Now 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 Amazon Now quick commerce data

Amazon Now is Amazon's quick-commerce offering in India, competing with Blinkit, Zepto and Swiggy Instamart. It is the newest of the four at scale, which makes its pricing behaviour worth watching rather than assuming — it does not yet behave like the others.

Uniform pricing is itself a finding

In the supplied sample the same SKU returned ₹183 in all 29 pin-codes, across four different cities. On Blinkit and Zepto the same exercise routinely produces five to ten percent spread between stores. A dataset that shows no variance is not a broken dataset — it is telling you this platform currently prices nationally, which is useful if you are deciding where to fight on price.

Why the file still repeats rows per pin-code

Because uniform pricing today is not a guarantee of uniform pricing next quarter, and you cannot recover geographic variance once it has been averaged away. Collapsing 29 rows to one is a group-by; going the other way means re-collecting.

A note on the source label

An earlier version of this feed carried a platform label that did not match this source. That has been corrected — the platform column in the current sample reads Amazon Now on every row. If you tested an older sample and saw otherwise, this is the fix.

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 on this platform, in the supplied sample, it was — ₹183 across all 29 pin-codes and four cities. That is a real result rather than a collapsed field. Blinkit and Zepto show meaningful spread on the same exercise; Amazon Now currently does not.

The supplied sample spans 29 across Delhi NCR. The live feed covers whatever set you need, and pin-code count is the main thing that drives the cost.

They came through empty across the whole supplied sample. Product URL can be populated on request; Tier is a city-classification field that is not currently filled for this source.

Not in these 22 columns — Availability is a status rather than a unit count. If you need real unit counts, our Blinkit and Zepto store-level datasets carry them and we can add the same here on a custom feed.

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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Amazon Now 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

Discount as its own percentage

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 Amazon Now quick commerce data

Uniform pricing is itself a finding

Why the file still repeats rows per pin-code

A note on the source label

Is collecting this data legal?

Frequently asked questions

Why is the price the same in every pin-code?

How many pin-codes can you cover?

Why are product_url and Tier empty?

Is inventory count included?

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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