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Swiggy Instamart India Weekly Keyword Rank & Category Visibility Dataset

A weekly keyword file weighted towards generic category terms rather than brand names — “rice”, “sona masoori raw rice”, “rice bag 26kg” — with search rank, organic versus sponsored placement and price across 33 columns.

Generic terms are where category share is actually decided, and they move on a weekly rhythm rather than a daily one. In the supplied sample 13 of 50 placements were sponsored — a quarter of everything a shopper saw on those searches.

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

240,000 rows per run — keyword × pin-code × rank

33 fields, all listed below

This dataset was last updated on 03-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 is a search visibility dataset rather than a product extract — if you want Instamart store pricing, take the twice-a-day Q-Commerce file instead.

Rank on the keyword, not just the product

One row per keyword, per pin-code, per position. search_rank tells you where a product actually appeared to a shopper typing that term.

Organic separated from sponsored

type marks each placement Organic or Inorganic, with separate placement counters, so paid and earned visibility never get mixed.

Results differ by pin-code

The same keyword returns different products in different delivery areas, because Instamart serves from local dark stores.

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 33 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.Noplatformdatekeyword citylocationTierpincode search_rankproduct_idproduct_urlProduct Image link brandBrand visibilityproduct_namegrammage mrpselling_pricetypeOrganic Placement Inorganic placementweekmonthyear datetimediscount_percentKeyword TypeProduct Status Notify StatusLabelRatingsRating count Availability

Sample rows from the real file

Real rows from the sample file, not an illustration. The free sample is 50 keyword-by-pin-code rows with all 33 columns.

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

Coverage

Captured every week across the keywords and pin-codes on your feed. The supplied sample tracks 8 keywords across 28 pin-codes, mostly generic category terms.

Keyword type	Rows in sample	Distinct keywords	Sponsored placements	Sponsored share
Generic	46	7	12	26%
Competitor	4	1	1	25%
All keywords	50	8	13	26%

Eight keywords across 28 pin-codes is what the sample shows, not what the feed is limited to. Keyword count multiplied by pin-code count is what drives the price — tell us your term list and we will quote it.

Historical data

The last 30 days come with the dataset. Beyond that we hold Instamart keyword records from February 2025 onwards for the keywords on this feed — enough to show how sponsored share moved through a festive quarter.

Ask about historical data

Need more data points?

We can extend this dataset beyond the standard 33 columns — share of voice calculated per keyword is the most requested addition, along with banner and category placements, competitor brand mapping and a higher capture frequency.

Request custom fields

“Brand terms we were already winning. The generic set was where we were invisible, and a weekly read was enough to see that without paying for daily noise.”

Suresh Varma · Category HeadIndian staples brand · downloaded the sample, bought the same week

What people use this dataset for

Brand and media teams

See who appears on your brand terms, whether they earned the slot or paid for it, and in which pin-codes.

Retail media buyers

Measure what your spend actually bought — sponsored position by keyword, rather than a platform-reported summary.

Category and SEO teams

Track organic rank on generic terms, where visibility can still be won without paying for it.

Analysts

Build a share-of-search series across brand, competitor and generic keyword types.

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

Maintenance is ours. When Swiggy Instamart 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 Swiggy Instamart search and retail media data

Swiggy Instamart is one of the three platforms that decide grocery discovery in urban India. Its search results page carries both organic and sponsored listings, and because it fulfils from local dark stores the mix differs by delivery area — none of which appears in a product or pricing dataset.

Why organic and sponsored have to stay separate

A brand at rank one has either earned that position or bought it, and the two mean opposite things for your budget. type records which, and the placement counters track them independently rather than collapsing them into one visibility number.

What keyword type tells you

Keyword Type marks each term Brand, Competitor or Generic. Defending your own brand term is a cheap, high-intent fight you should always win. Bidding on a competitor's name is an offensive move. Generic terms are where category share is decided. Averaging the three produces a rank that describes none of them.

A note on the enum values

In the supplied weekly sample Keyword Type carried both “Competitor” and the abbreviated “Comp” for the same thing. It is being normalised, but if you are building on this field today, map both values rather than assuming one spelling.

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 organic rank on generic terms moves on a weekly rhythm, not an hourly one. Daily capture on a generic set mostly records the same result five times. If you are running paid media on those terms, take the daily file instead.

The supplied sample shows eight keywords across 28 pin-codes. The live feed covers whatever set you need — keyword count multiplied by pin-code count is what drives the cost.

Yes, and we would rather flag it here than have you find it. The two mean the same thing and the value is being normalised — if you are building on this field today, map both spellings.

Because the search returned nothing for that keyword in that pin-code. Product Status carries the message and the product columns are legitimately blank. It is a finding rather than a gap — the term is returning nothing in that area.

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 Swiggy Instamart records from February 2025 onwards for the stores, 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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Swiggy Instamart India Weekly Keyword Rank & Category Visibility Dataset

What you get, in plain terms

Rank on the keyword, not just the product

Organic separated from sponsored

Results differ by pin-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

Brand and media teams

Retail media buyers

Category and SEO teams

Analysts

About Swiggy Instamart search and retail media data

Why organic and sponsored have to stay separate

What keyword type tells you

A note on the enum values

Is collecting this data legal?

Frequently asked questions

Why weekly rather than daily for generic terms?

How many keywords and pin-codes can you track?

I saw both “Competitor” and “Comp” in the keyword type column.

Why is one row marked as no result?

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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