Scaling a Real-Time Arbitrage Engine: 74k Requests/Month Under the Radar

Situation E-commerce arbitrage isn't a playground for basic Python scripts anymore. Today, we're talking about real-time sniping on massive platforms like Vinted, where a fraction of a second determines who secures the margin. The baseline setup: an arbitrage engine that scans the market, identifies pricing anomalies (blatant undervaluations), and executes before the standard UI has even refreshed the CDN cache for regular users. We aren't talking about crypto here, but the circular economy where information asymmetry is king. Initially, our infrastructure ran smoothly with just a few hundred requests a day. Complication Scaling up broke everything. As we shifted gears, our volume exploded. We needed to hit 74,000 requests per month to cover enough categories and niche keywords. The main roadblock? Datadome. One of the most vicious anti-bot systems on the market. The second our concurrency increased or our request patterns became too predictable, we were hit with endless HTTP 403s, imp