Zepto India Daily Keyword Rank & Brand Defence Dataset
A daily file tracking who appears when a shopper searches your brand name on Zepto — 33 columns covering keyword, search rank, organic versus sponsored placement, brand visibility, price and availability at pin-code level.
The supplied sample follows a single brand term and the result is blunt: 17 of 50 placements were sponsored, and seven different brands appeared on one company's own name. Competitors bid on your brand term because it is cheap, high-intent traffic — this is how you see it happening.
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.
What you get, in plain terms
Four things. This is a search visibility dataset rather than a product extract — if you want Zepto store pricing, take the twice-a-day 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. In the supplied sample 17 of 50 were sponsored — a third of everything a shopper saw on a brand term.
Every brand that appeared, not just yours
Seven distinct brands turned up on a single brand keyword in the supplied sample. brand and Brand visibility let you count them.
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.
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.
Coverage
Captured every morning across the keywords and pin-codes on your feed. The supplied sample follows one brand keyword across 2 pin-codes in depth.
| Placement type | Rows in sample | Share | Distinct brands seen | Ranks covered |
|---|---|---|---|---|
| Organic | 33 | 66% | 6 | 1 – 25 |
| Sponsored | 17 | 34% | 4 | 2 – 24 |
| All placements | 50 | 100% | 7 | 1 – 25 |
One keyword across two 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 — most clients run a few hundred keywords across ten to thirty pin-codes.
Historical data
The last 30 days come with the dataset. Beyond that we hold Zepto 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 dataNeed 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 wider keyword set.
Request custom fields“Seven brands on our own name, and a third of the page paid for. We had been reporting brand search as a win because we appeared at all.”
What people use this dataset for
Brand and media teams
See who appears on your 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, not 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.
About Zepto search and retail media data
Zepto's 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 that appears in a product or pricing dataset, which is why this file exists separately.
Why brand terms are the first thing to watch
Searching a brand name is the highest-intent action a shopper takes, which makes it the cheapest traffic to buy and the most damaging to lose. In the supplied sample a single brand keyword returned seven different brands, and a third of the placements were paid. If your own brand term is contested, nothing else in your media plan matters as much.
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 the empty columns mean
city, Tier and Label came through empty across the whole supplied sample. The city is still available inside location, which carries a full address string, but if you need it as its own column say so and we will populate it.
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
location, which carries a full address string.
Your Data Needs
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Free Sample in 2 HoursShare your requirement, get 500 rows of real data — no commitment.
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Plans from $500/monthFlexible pricing for startups, growing brands, and enterprises.
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US-Based SupportOffices in New York & California. Aligned with your timezone.
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ISO 9001 & 27001 CertifiedEnterprise-grade security and quality standards.
