Scaling a web scraping pipeline from a few thousand requests to millions per day exposes a fundamental infrastructure challenge: IP reputation and session state management. When extracting publicly available data from global e-commerce sites, real estate portals, or financial aggregators, your throughput is bottlenecked by how well you manage your network footprint. A naive approach relies on a static list of proxies and randomized rotation. This breaks down quickly at scale. IP addresses get burned, sticky sessions break mid-transaction, and success rates plummet. Building a resilient system requires treating proxy rotation as a load balancing and reputation routing problem. This guide details how to architect a proxy management layer that handles automatic rotation, session stickiness, health scoring, and protocol-level evasion. The Anatomy of High-Volume Request Failures When collecting public data at scale, request failures rarely happen at the application layer. They happen at the edge.…