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Snapmint India Daily Product, Pricing & Category Dataset

Q: Every row says sold out but has a price. Which is right?

The price. is_sold_out read TRUE on all 50 rows of the supplied sample while each carried a live price, discount and rating — which cannot both be true. We believe the flag is being set constant rather than read, it is being corrected, and until then you should not filter on it.

Q: Why are three columns empty in the sample?

shipping_charges, page_url and position came through empty across the whole sample. The first two do not apply to this source.

A daily file of the Snapmint catalogue — India's buy-now-pay-later marketplace — with 22 columns covering price, MRP, discount, ratings, a full three-level category hierarchy and the POP UPI product identifier.

Snapmint sells to a distinctly price-sensitive shopper, and the data shows it: every one of the 50 sampled listings carried a discount, averaging around a third off MRP, and 47 of 50 had ratings — far denser than the mainstream marketplaces.

This data is available for download immediately after purchase

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.

$499.00per month

All prices are in USD · GST or VAT added on the invoice

96,000 listings per run

22 fields, all listed below

This dataset was last updated on 04-Nov-2026

A fresh file every morning · 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. Take this file if you want to see how a BNPL audience is priced to — it behaves differently from the mainstream platforms.

Three-level category tree

category_hierarchy arrives populated to l3 — Fashion → Fragrances → Perfumes — rather than stopping at a top-level label as many retailer feeds do.

Discount on every listing

All 50 sampled rows carried a discount. On a BNPL platform the headline cut is the hook, so discount depth is the number to watch.

Unusually dense ratings

47 of 50 sampled listings had ratings, several with counts in the tens. Compared with mainstream retailers, this is a source where rating data is actually usable.

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 22 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.

product_idcatalog_namecatalog_idsource scraped_dateproduct_nameimage_urlcategory_hierarchy product_pricearrival_dateshipping_chargesis_sold_out discountmrppage_urlproduct_url number_of_ratingsavg_ratingpositioncountry_code othersPOP UPI Product ID

Sample rows from the real file

Real rows from the sample file, not an illustration. The free sample is 50 listings with all 22 columns.

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

Coverage

Captured every morning across the Snapmint catalogue. The supplied sample is drawn from fashion and fragrances.

Field	Filled in sample	What it tells you
`discount`	50 of 50	Every listing discounted — the platform's core proposition
`avg_rating`	47 of 50	Ratings are dense here, unlike most Indian retailers
`category_hierarchy`	50 of 50, to l3	Full three-level tree, not just a top-level label
`POP UPI Product ID`	50 of 50	Useful for reconciling against payment-side records
Price range observed	₹275 – ₹5,999	Value-led assortment, as the BNPL model implies
`shipping_charges` / `page_url` / `position`	0 of 50	Not populated for this source

The supplied sample covers fashion and fragrances. Tell us which categories matter and we will price the file around them — catalogue breadth is what drives the cost.

Historical data

The last 30 days come with the dataset. Beyond that we hold Snapmint records from February 2025 onwards.

Ask about historical data

Need more data points?

We can extend this dataset beyond the standard 22 columns — instalment plan terms and per-month amounts are the obvious addition on a BNPL platform, along with seller name and a corrected sold-out flag.

Request custom fields

“Nobody else was watching the BNPL channel and it turned out our category was being discounted a third deeper there than anywhere else.”

Deepak Malhotra · Head of DigitalIndian fragrance brand · downloaded the sample, bought the same day

What people use this dataset for

Brands selling through BNPL

See how your products are priced and discounted on a channel most reporting ignores entirely.

Pricing teams

Compare BNPL pricing against mainstream marketplaces — in the supplied sample, discounts ran deeper.

Category managers

Use the full three-level category tree to analyse assortment without parsing breadcrumb strings.

Analysts

Track how a price-sensitive, instalment-led audience is merchandised to.

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

Maintenance is ours. When Snapmint 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 Snapmint marketplace data

Snapmint is an Indian buy-now-pay-later marketplace, letting shoppers split purchases into instalments. That changes who buys and how products are merchandised — the audience is more price-sensitive and the headline discount does more work than it does on a mainstream platform.

Why every listing is discounted

All 50 rows in the supplied sample carried a discount, averaging around a third off MRP. On a platform whose proposition is affordability, a full-price listing is close to a contradiction. If you sell here, discount depth rather than absolute price is what you should be benchmarking.

Ratings are genuinely usable on this source

47 of 50 sampled listings had ratings, several with review counts in the tens. Compared with Indian electronics retailers, where a fifth of listings carry a rating, this is dense enough to use. It is worth knowing which sources support rating-based analysis and which do not.

A note on the sold-out flag

is_sold_out read TRUE on all 50 rows of the supplied sample while every one of those rows carried a live price, a discount and a rating. Those two states are hard to reconcile, and we think the flag is being set constant rather than read. We would rather tell you here than have you filter on it and lose the entire file — treat is_sold_out as unreliable on this source until we confirm the fix.

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 price. is_sold_out read TRUE on all 50 rows of the supplied sample while each carried a live price, discount and rating — which cannot both be true. We believe the flag is being set constant rather than read, it is being corrected, and until then you should not filter on it.

Not in these 22 columns. Per-month amounts and plan length are the obvious addition on a BNPL platform and we can add them on a custom feed, scoped free.

Deeper, on this evidence. Every sampled listing was discounted, averaging around a third off MRP. On Amazon or Flipkart a meaningful share of listings sit at full price.

shipping_charges, page_url and position came through empty across the whole sample. The first two do not apply to this source.

Immediately. The file already exists because the 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 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 products 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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Snapmint India Daily Product, Pricing & Category Dataset

What you get, in plain terms

Three-level category tree

Discount on every listing

Unusually dense ratings

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 selling through BNPL

Pricing teams

Category managers

Analysts

About Snapmint marketplace data

Why every listing is discounted

Ratings are genuinely usable on this source

A note on the sold-out flag

Is collecting this data legal?

Frequently asked questions

Every row says sold out but has a price. Which is right?

Are instalment plan terms included?

How does pricing here compare with mainstream marketplaces?

Why are three columns empty in the sample?

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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