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Amazon Now India Daily Quick Commerce Pricing & Delivery Dataset

A daily quick-commerce file keyed on pin-code, with 26 columns covering price, MRP, discount, grammage, stock status, delivery promise, seller, brand, ratings and the full specification block — one row per SKU per pin-code.

Quick commerce is a local business. In the supplied sample the same SKU appears across 20 pin-codes, which is exactly the comparison this file is built for: one product, twenty delivery areas, twenty separate answers on price and availability.

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

26 fields, all listed below

This dataset was last updated on 02-Oct-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. If any of them is not what you expected, the sample will show you before you spend anything.

One row per SKU per pin-code

Twenty pin-codes means twenty rows for the same product, each with its own price, stock status and delivery promise.

Delivery promise captured

What the customer is told they will get it by, alongside the stock status. The two disagree more often than you would expect.

Grammage and pack size parsed

“30ml”, “100g” as their own column, so price per unit is arithmetic rather than a parsing exercise on the title.

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 26 columns, in the exact order they appear in the file — this list is 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_idcatalog_namecatalog_id sourcepincodescraped_dateproduct_name image_urlproduct_priceavailabilityStock status discountmrpgrammageproduct_url number_of_ratingsavg_ratingNo of reviewsimages product_detailsspecificationsDelivery timeSeller Name Brandproduct_code

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 26 columns.

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

Coverage

Captured daily across the pin-codes on your feed. The supplied sample spans 20 pin-codes across the major metros.

Metro	Pin-codes in sample	Typical SKUs tracked	Delivery promise seen
Delhi NCR	6	38,400	Same day
Mumbai	4	34,900	Same day
Bengaluru	4	33,100	Same day
Hyderabad	3	27,600	Same day
Pune	2	24,800	Next day
Chennai	1	22,200	Next day

Need more pin-codes or a different metro set? Pin-code count is the main cost driver here — tell us which areas matter and we will price the file around them.

Historical data

The last 30 days come with the dataset. This 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 26 columns — more pin-codes is the usual request, along with category hierarchy, competitor SKU matching and moving to intraday capture. Tell us what you would query and we will say whether it is collectable before anything else happens.

Request custom fields

“We assumed our pricing was consistent across cities because that was the policy. Twenty pin-codes of data confirmed it in a morning, which is not a sentence I expected to be able to say.”

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

What people use this dataset for

Quick commerce brands

Compare your price, stock and delivery promise across delivery areas rather than assuming they are uniform.

Category and pricing teams

Spot where a pin-code is quietly out of stock while the national view says everything is fine.

Distribution teams

Check which areas are actually served before committing trade spend or launch inventory.

Analysts

Build geographic price and availability series for the fastest-growing channel in Indian retail.

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. Like them it operates from local fulfilment, which means price, assortment and delivery promise are all decided at the delivery-area level rather than nationally.

Why the file repeats rows per pin-code

Because the interesting variance is geographic, and you cannot recover it once it has been averaged. Twenty pin-codes for one SKU is twenty rows, and collapsing them to a national figure afterwards is a group-by. Going the other way means re-collecting.

Stock status and delivery promise are different questions

A listing can report in stock and still quote a delivery date two days out, which for a quick-commerce channel is effectively unavailable. Both fields are captured separately so you can measure the gap rather than assume they agree.

A note on the source field

The source column in the supplied sample carries a value that does not match this platform. It is a configuration label rather than part of the data, and it does not affect the product, pricing or pin-code columns — but it is being corrected, and we would rather point at it here than have you find it yourself.

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

The supplied sample spans 20 pin-codes across the major metros. The live feed covers whatever set you need — pin-code count is the main thing that drives the price.

The delivery promise as shown on the listing for that pin-code. In the supplied sample it arrives as a date rather than a duration — we are normalising that to a consistent format, and the sample shows you exactly what you would receive today.

Yes. Quick commerce pricing moves through the day, so intraday capture is available — it multiplies the row count, so tell us the pin-code set and cadence and we will quote it.

Immediately. The file already exists because the 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 current file is in your account within minutes, with an API key.

Yes. 100 real rows with all 26 fields 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. If you need GeoJSON, Shapefile or something unusual, ask and we will arrange it.

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 for this source from March 2026 onwards — ask and we will confirm exactly what exists for the pin-codes you care about.

Often, yes — more pin-codes, category hierarchy, competitor SKU matching and intraday capture are common additions. That becomes a custom feed rather than this dataset, and we scope it free before quoting.

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 Quick Commerce Pricing & Delivery Dataset

What you get, in plain terms

One row per SKU per pin-code

Delivery promise captured

Grammage and pack size parsed

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

Quick commerce brands

Category and pricing teams

Distribution teams

Analysts

About Amazon Now quick commerce data

Why the file repeats rows per pin-code

Stock status and delivery promise are different questions

A note on the source field

Is collecting this data legal?

Frequently asked questions

How many pin-codes are covered?

What is in the Delivery time column?

Can I get this more than once a day?

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?

Can you add fields that are not listed?

What licence do I get?

Can I speak to someone first?

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