At first glance, web scraping seems straightforward: deploy requests, collect data, repeat. But as any seasoned data engineer will confirm, the real complexity starts when you’re dealing with millions of requests per day. Latency spikes, server blocks, fingerprint mismatches—these add up to a silent but significant expense. What’s often overlooked isn’t just the infrastructure cost, but the opportunity cost of unreliable proxy networks. Let’s unpack the numbers and dive into how network quality directly influences scraping performance and ROI. The Real Price of Failed Requests When scraping at scale, even a 5% error rate can dramatically affect your operation. According…
