India-based company comparing BNPL shopping prices with marketplace prices

Use Case

Price comparison and EMI offer data collection

Region

India

Sources

Snapmint + leading Indian marketplaces

Number of sources

Multiple

Key metric 1

Product-level price comparison

Key metric 2

EMI tenure, monthly EMI and down-payment capture

Key metric 3

Price-gap signals by category and brand

Contact Sales

Key Takeaways

Actowiz Solutions built a Snapmint price comparison dataset for an India-based client in 2026. We collected public product listings from Snapmint, including price, EMI tenures, monthly EMI, down payment and offers. Each product was then matched to the same item on leading Indian marketplaces. The output was a clean, comparison-ready dataset showing where BNPL shoppers pay more, less or the same.

What did the client need?

Snapmint is an Indian buy-now-pay-later shopping platform. Its public pages list products across mobiles, electronics, appliances, fashion and home, and many listings show a monthly EMI and 3/6/9/12-month plans. Snapmint also appears as a cardless EMI option at partner merchants' checkouts, as described in Razorpay's Snapmint documentation.

The client wanted product-level data on Snapmint prices and EMI offers, compared with the same products on other marketplaces, ready for analysis.

What made this hard?

Three price layers. A Snapmint listing can show a sale price, a struck-through MRP and a monthly EMI, each captured separately.
EMI terms vary by product. Tenure options, "0% EMI" tags and low-upfront messages such as "Pay as low as ₹0 Now" differ across listings and change over time.
Product matching across sites. The same phone or appliance is named differently on each marketplace, and colour or storage variants carry different prices, so title matching alone produces false pairs.
Responsible collection. Only public product and offer data was in scope. No customer accounts, credit decisions or personal data were involved.

How did Actowiz solve it?

We built a pipeline that collects, normalises and matches product and EMI data into one comparison table.

Approach

Catalogue discovery. We crawled Snapmint's public category pages, keeping category, brand and partner-store context.
Price and EMI extraction. We captured sale price, MRP, discount, tenure options, monthly EMI, down payment and offer text as separate fields.
Marketplace matching. We matched each Snapmint product to leading Indian marketplaces using brand, model, key specs and variant attributes, with a confidence score and manual review for low-confidence pairs.
Normalisation. Prices in INR, tenures in months and offers mapped to one tag set, with raw text kept for audit.
Quality checks. Duplicate removal, price-gap outlier checks and spot checks against live pages before each delivery.
Delivery. The dataset was delivered ready for BI tools.

Data Attributes / Fields

Field	Description
product_name	Product title as listed on Snapmint
brand / category	Brand and Snapmint category (e.g. Mobiles, Kitchen & Home)
partner_store	Merchant or brand store selling the item, where shown
snapmint_price	Current selling price on Snapmint (INR)
mrp / discount_pct	Listed MRP and calculated discount
emi_tenure_options	Available EMI tenures in months (e.g. 3, 6, 9, 12)
monthly_emi / down_payment	Displayed monthly instalment and upfront amount
offer_tags	Offer labels such as 0% EMI or deal badges
comparison_marketplace / comparison_price	Matched marketplace and its price for the same variant
price_gap / captured_at	Snapmint price minus marketplace price; capture timestamp

What were the results?

One comparison view. Snapmint prices, EMI terms and marketplace prices sat in a single table per product, with no manual checking.
Clear price-gap signals. Products priced above or below the marketplace were easy to filter by category and brand.
EMI offer visibility. Tenure, monthly EMI and down-payment patterns could be compared across categories.
Repeatable process. The same pipeline can be re-run to track how prices and offers change over time.

Project at a Glance

Metric	Value
Use Case	BNPL shopping price comparison and EMI offer data collection
Region	India
Sources	Snapmint + leading Indian marketplaces
Metrics	Price, MRP, discount, EMI tenures, monthly EMI, down payment, offers, price gap
Reconciliation / Method	Brand + model + variant matching with confidence score and manual review
Cadence	Recurring (agreed per project)
Output	Structured comparison dataset

Client Feedback

“We needed to see, product by product, how Snapmint prices and EMI terms compare with other marketplaces. Actowiz delivered one clean table where the price gap and EMI offers are already matched and normalised.”

— Strategy Lead, BNPL Analytics Client

Frequently Asked Questions

Q: What data can be collected for a Snapmint price comparison?

A: Public product data such as name, brand, category, selling price, MRP, discount, EMI tenures, monthly EMI, down payment and offer tags. Each product is matched to the same variant on other marketplaces to calculate the price gap and compare EMI terms.

Q: How do you match the same product across Snapmint and other marketplaces?

A: We match on brand, model number, key specifications and variant attributes such as colour or storage, not on title alone. Low-confidence pairs go through manual review, so a 128 GB phone is never compared with a 256 GB version.

Q: Is it legal to collect Snapmint price and EMI data?

A: We collect only publicly displayed product, price and offer information, respecting site terms and applicable law. We do not access customer accounts, credit decisions or personal data, and never bypass logins or CAPTCHAs.

Q: Who uses BNPL price comparison data?

A: Fintech and BNPL teams benchmark offers, brands check channel pricing, and researchers study how EMI shopping affects what consumers pay. It also fits into consolidated data for fintech dashboards and wider e-commerce price intelligence.

Need BNPL Price Comparison Data?

We can set up a Snapmint price comparison feed covering EMI plans, offers and marketplace prices for your categories. Visit actowizsolutions.com to discuss your data requirement.

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