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Big Basket India Twice a Week Keyword Rank & Competitor Visibility Dataset

A twice-weekly keyword file built for competitor term tracking — what comes back when a shopper searches a rival's brand name on Big Basket. Thirty-three columns covering rank, organic versus sponsored placement, brand visibility, price and availability.

The supplied sample follows two competitor beverage terms and returns 11 different brands across them, with 10 of 50 placements sponsored. Searching a competitor's name and finding a crowded page is the clearest signal that the term is worth buying.

This data is available for download immediately after purchase

The file already exists, because this pipeline runs twice a 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
Delivered Monday and Thursday · 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 search visibility dataset rather than a product extract — if you want Big Basket pin-code pricing, take the daily 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 10 of 50 were paid — a fifth of the page.

Built around competitor terms

Keyword Type marked every term in the supplied sample as Competitor. Eleven distinct brands appeared across just two such searches.

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 Monday and Thursday across the keywords and pin-codes on your feed. The supplied sample follows 2 competitor beverage terms across 6 pin-codes.

Keyword Keyword type Rows in sample Sponsored Distinct brands
fanta Competitor 26 6 7
7up Competitor 24 4 6
All keywords Competitor 50 10 11

Two keywords across six 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 terms.

Historical data

The last 30 days come with the dataset. Beyond that we hold Big Basket keyword records from February 2025 onwards for the keywords on this feed.

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 placements, competitor brand mapping and a wider keyword set.

Request custom fields

“We ran our two biggest rivals' names through it and found eleven brands fighting over those pages. Two of them were ours, competing with each other.”

PR
Pooja Rao · Brand ManagerIndian beverages company · downloaded the sample, bought the same week

What people use this dataset for

Brand and media teams

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

Retail media buyers

Find the competitor terms that are cheap to win and the ones already crowded with paid placements.

Category teams

Measure how many brands genuinely compete on a term before committing budget to 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 Big Basket 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 Big Basket search data

Big Basket's search results page carries both organic and sponsored listings. Because it operates a scheduled-delivery model alongside quick commerce, its result pages behave a little differently from the pure quick-commerce platforms — assortment is wider and the paid share is currently lower.

Why competitor terms are worth tracking first

A shopper typing a rival's brand name has already decided what kind of product they want but not which one. That makes competitor terms the cheapest conquest traffic available, and the first place to look when you are deciding where to spend. In the supplied sample two competitor beverage terms returned eleven different brands between them.

A lower paid share than the quick-commerce platforms

Ten of fifty placements in the supplied sample were sponsored — about a fifth. On Zepto, a generic category term in our own sample ran at over half. That gap is the argument for spending here: the same position costs less because fewer people are bidding.

A note on the column name

This file spells the field Organic placement with a lowercase p, where our Blinkit and Zepto keyword files use Organic Placement. The contents are identical. It is being normalised, but if you are joining these files across platforms today, map both spellings.

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

Yes, and it is what this file is built for. The supplied sample follows two competitor beverage terms, and Keyword Type marks them as Competitor so you can report on them separately from your own brand terms.
In the supplied sample, 10 of 50 placements — about a fifth. That is noticeably lower than the pure quick-commerce platforms, where a generic term in our Zepto sample ran at over half. The same position currently costs less here.
Correct, and we would rather flag it than have you find it mid-join. The contents are identical and the spelling is being normalised — if you are joining across platforms today, map both.
The supplied sample shows two keywords across six pin-codes. The live feed covers whatever set you need — keyword count multiplied by pin-code count drives the cost.
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 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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