The Challenge Our client, a food analytics and restaurant aggregator startup, needed to collect restaurant, menu, and pricing data from Uber Eats across multiple cities. The goal was to analyze pricing trends, menu variations, and restaurant availability in different regions. Manual data gathering was impossible due to the platform’s dynamic structure and massive volume of […]
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