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Prices for the same grocery item can differ drastically across U.S. cities. Local taxes, supply chains, demand patterns, and store policies make pricing highly variable from New York to Austin. But without data, businesses and consumers are left guessing.
Actowiz Solutions uses real-time web scraping to monitor grocery price variations across regions, uncovering trends and price deltas that help stakeholders plan better.
Item | NYC | LA | Chicago | SF | Austin |
---|---|---|---|---|---|
Avocados (ea) | $1.29 | $1.10 | $1.05 | $1.49 | $0.99 |
Almond Milk | $3.49 | $3.19 | $2.99 | $3.69 | $2.79 |
Tomatoes (lb) | $1.89 | $1.59 | $1.39 | $2.05 | $1.25 |
Insight: Tomato prices showed the widest spread with a 64% higher cost in San Francisco than Austin.
Example: In LA, almond milk on Walmart was $3.19, while on Instacart (via Ralphs), it was $3.79
Sample Use Case: "Track weekly fluctuation of produce pricing in LA and set alert for drops below $1.50/lb."
For data-driven decisions, knowing how prices vary by city is key. Actowiz Solutions turns grocery web scraping into city-level strategy, giving retailers, brands, and consumers the edge in local pricing.
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