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Metro Cash and Carry India Monthly Wholesale Pricing & Bulk Tier Dataset

A monthly file of Metro Cash and Carry — India's largest wholesale cash-and-carry chain — with 26 columns covering price, MRP, discount, availability, store, pin-code, country of origin and, most usefully, price_quantity_tiers: the full bulk pricing ladder.

This is B2B pricing, not retail. A product does not have one price — it has a price per quantity band. In the supplied sample one item ran ₹159 per piece at 1–2 units, ₹132 at 3–99, and lower again past 100, with the margin percentage on every tier.

This data is available for download immediately after purchase

The file already exists, because this pipeline runs every month 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
84,000 items per run, per store
26 fields, all listed below
This dataset was last updated on 20-Sep-2026
A fresh file every month · 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

What you get, in plain terms

Four things. This is a wholesale dataset — if you want retail shelf prices, this is not the file.

Bulk pricing tiers, with margin

price_quantity_tiers carries every quantity band as JSON — min quantity, max quantity, per-piece price and the margin percentage against MRP. Nobody buys one unit here.

Minimum and maximum order quantity

minimum_quantity and maximum_quantity as their own columns. A price you cannot buy at your volume is not a price you can act on.

Store and pin-code on every row

Cash-and-carry pricing is set per branch. store_id and pincode are captured so you compare like with like.

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 — 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.noplatformpincodecity stateitem_codenamebrand weightnet_quantityurlimages pricediscountmrpavailability promotionsdescriptionprice_quantity_tiersminimum_quantity maximum_quantitycountry_of_originstore_idarrival_date keywordscrap_date_time

Sample rows from the real file

Real rows from the sample file, not an illustration. The free sample is 50 items 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 monthly across the stores on your feed. The supplied sample is one Bengaluru branch in depth — 37 brands across 31 search terms.

Metric In the supplied sample What it tells you
Brands covered 37 Breadth of a single branch's assortment
Search terms 31 How the catalogue was walked
Items available 47 of 50 Wholesale availability is high — stock-outs are the exception
Rows with bulk tiers 47 of 50 Tiered pricing is the norm, not a special case
Rows with promotions 15 of 50 Promotional activity on roughly a third of the assortment
Country of origin India, all 50 Useful for sourcing and compliance reporting

One branch is what the sample shows, not what the feed is limited to. Store count is the main thing that drives the price — tell us which branches or cities matter and we will quote it.

Historical data

The last 30 days come with the dataset. Beyond that we hold Metro records from February 2025 onwards for the stores on this feed — enough to see how wholesale tiers moved through a full trading year.

Ask about historical data

Need more data points?

We can extend this dataset beyond the standard 26 columns — the bulk tiers flattened into named columns is the most requested change, along with more branches, category hierarchy and competitor cash-and-carry chains in the same file.

Request custom fields

“We had been benchmarking our trade price against Metro's shelf price, which is the price nobody pays. The tier ladder showed we were twelve percent off at the volumes our customers actually buy.”

VG
Vikas Gupta · Trade Pricing ManagerIndian FMCG distributor · downloaded the sample, bought the same week

What people use this dataset for

FMCG brands and distributors

Benchmark your trade prices against the wholesale ladder at the volumes your customers actually order.

Retailers and kirana buyers

Compare cost of goods across brands and pack sizes before committing a bulk purchase.

Pricing and margin teams

Use the published margin percentage per tier to see where wholesale economics actually sit.

Analysts

Build a B2B price series for a channel that almost no other dataset covers.

No procurement cycle. Card payment, invoice on the spot. Most buyers are querying data the same afternoon.
Maintenance is ours. When Metro Wholesale 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 Metro Cash and Carry wholesale data

Metro Cash and Carry operates wholesale branches serving kirana stores, restaurants and institutional buyers across India. It is a B2B channel, which means its pricing behaves nothing like retail — there is no single price per product, and the number on the shelf is the least interesting one in the file.

Why quantity tiers are the whole point

A wholesale buyer's cost depends entirely on how much they take. In the supplied sample one item priced at ₹159 per piece for 1–2 units, ₹132 for 3–99, and lower again beyond 100 — a spread of more than twenty percent on the same product on the same day. price_quantity_tiers carries every band with its own min_qty, max_qty, retail_price_per_pc and margin, so you can price against the volume your customers really buy rather than the headline.

Minimum order quantity changes what a price means

minimum_quantity and maximum_quantity sit as their own columns because a tier you cannot access is not a tier. Some items cap at 99 units, some at 999. If you are modelling landed cost, the cap matters as much as the rate.

Why monthly capture is the right cadence here

Wholesale prices move on contract and promotion cycles, not daily. Monthly capture matches how the channel actually behaves and keeps the file affordable across many branches — which is the dimension that matters, since cash-and-carry pricing is set per branch rather than nationally.

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

A JSON array of quantity bands. Each carries min_qty, max_qty, retail_price_per_pc and margin — so a single row can tell you the per-piece cost at 1 unit, at 3 units and at 100. It was populated on 47 of the 50 rows in the supplied sample.
Yes, and it is the most common request on this dataset. The number of bands varies per item, which is why the default keeps the structure — but we can flatten to a fixed set of columns on a custom feed, scoped free.
The supplied sample is one Bengaluru branch in depth. The live feed covers whatever set you need, and store count is the main thing that drives the cost. Cash-and-carry pricing is set per branch, so more branches is usually the right investment before more frequency.
No. Metro is a wholesale cash-and-carry channel serving trade buyers. The prices here are B2B, they change with order quantity, and they are not comparable to a retail shelf price without adjusting for tier and minimum order quantity.
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 stores, keywords or pin-codes 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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