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Amazon India Weekly Pin-Code Level Pricing & Availability Dataset

A weekly file keyed on pin-code rather than product. Thirteen clean columns — ZIP code, locality, city, SKU name, product name, MRP, price, discount and stock availability — with one row per product per pin-code.

This is the leanest of our Amazon files and the one to take if the question you are answering is geographic. Price and availability on Amazon.in vary by delivery pin-code, and a catalogue-level file averages that away entirely.

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

486,000 rows per run — product × pin-code

13 fields, all listed below

This dataset was last updated on 16-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 is deliberately narrow — if you need a deep catalogue extract, take the daily feed instead.

One row per product per pin-code

The grain of this file is geographic. The same SKU appears once for every pin-code it is tracked in, each with its own price and stock flag.

Clean, flat pricing columns

MRP, Price and Discount (%) as plain numbers. No JSON, no parsing, nothing to unpack before you can group by ZIP.

Locality alongside the code

Locality carries the readable form — pin-code, area and state — so reports do not need a separate lookup table to be legible.

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 13 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.

IDZIP CodeSKU NameProduct Name Product URLProduct IDMRPPrice Discount (%)LocalityCityBrand Stock Availability Status

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 13 columns.

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

Coverage

Tracked across Delhi NCR pin-codes in the supplied sample, expandable to any metro on request.

Pin-code	Locality	City	Products tracked
110001	Connaught Place	New Delhi	8,100
110003	Lodhi Colony	New Delhi	7,940
110006	Chandni Chowk	New Delhi	7,620
110007	Kamla Nagar	New Delhi	7,480
110008	Karol Bagh	New Delhi	7,910
110010	Delhi Cantt	New Delhi	6,850

Need other cities or a wider pin-code set? That is the usual request on this dataset and it is a straightforward extension — tell us which pin-codes matter and we will price it.

Historical data

The last 30 days come with the dataset. Beyond that we hold records from March 2025 onwards for the pin-codes on this feed. Ask and we will confirm exactly what exists for yours.

Ask about historical data

Need more data points?

We can extend this dataset beyond the standard 13 columns — more pin-codes is the most common request, followed by category and brand hierarchy, seller name and ratings joined in. Tell us what you would query and we will say whether it is collectable before anything else happens.

Request custom fields

“We had national Amazon pricing and it told us nothing about why the same SKU converted differently across Delhi. Splitting it by pin-code took an afternoon once the data arrived in that shape.”

Ankit Sinha · Revenue ManagerIndian packaged foods brand · downloaded the sample, bought the same week

What people use this dataset for

Brands with regional pricing

See what a customer in a specific pin-code is quoted, rather than a national average that matches nobody.

Quick commerce and grocery teams

Compare price and availability across delivery areas in the same city, week over week.

Expansion and distribution teams

Check where your SKUs are actually listed and in stock before committing trade spend to an area.

Analysts

Build a clean geographic price series without having to reshape a catalogue-level extract first.

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

Maintenance is ours. When Amazon 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 pin-code level Amazon pricing

Price and availability on Amazon.in are not national facts. Delivery pin-code changes which sellers can serve you, which shipping options appear and, on many listings, what the price is. A catalogue-level dataset records one of those prices and discards the rest.

Why one row per pin-code

Because reshaping later is painful and lossy. If the file gives you one row per product, adding geography means re-collecting. If it gives you one row per product per pin-code, collapsing to a national view is a group-by that takes seconds. This file is built at the finer grain deliberately.

What this file deliberately leaves out

There is no category tree, no seller name, no ratings and no search position in these 13 columns. That is not an oversight — it is why the file is cheap and fast to work with. If you need those, the daily 25-column feed carries them, and the two join on product identifier.

Why weekly rather than daily

Pin-code level delivery quotes do not move hourly the way marketplace listings do. A weekly reading is enough to see stock-outs appear and clear, and to compare areas against each other, without paying for repetition. If you need daily pin-code capture, ask — it is available and priced on the pin-code count.

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 covers six Delhi pin-codes. The live feed can cover as many as you need — tell us which ones matter and we will price the file around them, since pin-code count is the main thing that moves the cost.

No. These 13 columns carry no category, seller or ratings data. If you need those, the Amazon India daily 25-column dataset has them and joins to this file on product identifier.

Yes. Pin-code level capture at daily cadence is available — it costs more because the row count multiplies, so tell us the pin-code set and we will quote it.

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

Yes. 100 real rows with all 13 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 2025 onwards — ask and we will confirm exactly what exists for the pin-codes you care about.

Often, yes — more pin-codes, category and brand hierarchy, seller name, and ratings joined in 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 India Weekly Pin-Code Level Pricing & Availability Dataset

What you get, in plain terms

One row per product per pin-code

Clean, flat pricing columns

Locality alongside the code

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 with regional pricing

Quick commerce and grocery teams

Expansion and distribution teams

Analysts

About pin-code level Amazon pricing

Why one row per pin-code

What this file deliberately leaves out

Why weekly rather than daily

Is collecting this data legal?

Frequently asked questions

How many pin-codes are covered?

Is the category tree included?

Can I get this daily instead of weekly?

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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