Case Studies

How brands use our data to win on price, protect their brand and grow on marketplaces

Real projects, real outcomes — from competitor pricing programmes to MAP enforcement and quick commerce intelligence. Each case shows the brief, the data we delivered and the measurable result.

40+Active brand clients
500+Marketplaces covered
6Countries
99.2%Data accuracy SLA
Aggregate impact

Across the case studies on this page

Measured outcomes · not projections
~$180K
Margin saved by 1 US retailer in a single quarter
137
Counterfeit listings removed in 60 days
+14pt
Share of search lift achieved in 90 days
1,400
SKUs powering one client's pricing engine daily

More client outcomes

6 case studies · updated May 2026

How an Alcohol Retailer Gained Real-Time Pricing Data Using BevMo and Total Wine Data APIs

Access real-time pricing data using BevMo and Total Wine Data APIs to track alcohol prices, compare retailers, analyze trends, and optimize pricing strategies.

How Automated Price Tracking Became Possible with an Amazon vs Walmart Price Intelligence API

This case study shows how an Amazon vs Walmart Price Intelligence API enabled automated price tracking, competitive benchmarking, and faster pricing decisions across retail channels.

Real-Time Shrinkflation Tracking Using Grocery SKU Data Across Major U.S. Retail Chains

Real-Time Shrinkflation Tracking Using Grocery SKU Data uncovers hidden size reductions, price changes, and packaging shifts across major U.S. retail chains.

Track real-time product prices and availability using Shopee & Lotus's Malaysia Real-Time Dataset

Shopee & Lotus Malaysia real-time datasets power smarter retail decisions with live pricing, trends, and competitor insights.

Scrape Details About Products on Shopee Indonesia - Product Name, Prices, Shipping Cost, and Stock

Case study on how to scrape product details from Shopee Indonesia, including product names, prices, shipping costs, and stock availability for analysis.

Multi-Level Pricing - Scraping Lowe's and Home Depot to Capture Contractor, Bulk, and Regional Tiered Pricing Structures

Case study on scraping Lowe’s and Home Depot to capture contractor, bulk, and regional tiered pricing structures for accurate retail price intelligence.

How A Fashion Brand Improved SEO Performance Using Scrape Competitor Product Attributes Myntra Service From Product Data Scrape

This case study shows how a fashion brand improved SEO performance using scrape competitor product attributes Myntra service from Product Data Scrape.

Real-Time Best Buy Price Monitoring for Competitive Electronics Retail

This case study explores real-time Best Buy price monitoring, showing how competitive electronics retailers track pricing to optimize strategy and boost sales.

Real-Time Grocery Data Scraping to Predict Holiday Demand Across U.S. Retail Chains

Real-time grocery data scraping helped predict holiday demand across U.S. retail chains, enabling accurate forecasting, smarter inventory planning, and faster decisions.

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