With grocery shopping increasingly shifting online, platforms like Walmart and Instacart are competing heavily on convenience, speed—and most importantly—price. But how do their prices actually compare across cities like New York, Los Angeles, Chicago, San Francisco, and Austin?
Actowiz Solutions uses real-time web scraping to deliver city-specific pricing-strategy-data-services.php , helping retailers, researchers, and consumers make smarter, data-backed decisions.
| Item | City | Walmart | Instacart | Difference |
|---|---|---|---|---|
| Milk (1L) | NYC | $1.89 | $2.15 | +$0.26 |
| Eggs (12) | LA | $2.99 | $3.45 | +$0.46 |
| Bread | Chicago | $2.10 | $2.39 | +$0.29 |
| Orange Juice | San Francisco | $3.49 | $3.99 | +$0.50 |
| Chicken Breast | Austin | $4.29/lb | $4.95/lb | +$0.66 |
On average, Instacart prices were 10–20% higher across most items due to service fees and store markup.
Insight:
“In LA, Walmart’s price on eggs remained stable at $2.99 over 2 weeks, while Instacart’s ranged from $3.29 to $3.69.”
For shoppers and sellers alike, knowing which platform offers better value is critical. With real-time scraping from Actowiz Solutions, it’s possible to make city-wise, platform-specific decisions that save money and drive competitive pricing .
Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.
Watch how businesses like yours are using Actowiz data to drive growth.
From Zomato to Expedia — see why global leaders trust us with their data.
Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.
We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.
Complete guide to scraping BSE, NSE, Moneycontrol, Screener, and Tickertape for Indian equities, mutual fund, and financial data. Built for Indian quants, fintech startups, and investment platforms.
Learn how Save Mart increased category revenue by 18% using data-driven assortment planning and local product intelligence. Discover strategies to optimize product mix, meet local demand, and boost retail performance.
Track UK Grocery Products Daily Using Automated Data Scraping across Morrisons, Asda, Tesco, Sainsbury’s, Iceland, Co-op, Waitrose, and Ocado for insights.
Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.