What I Learned from Scaling Web Data Collection

What I Learned from Scaling Web Data Collection
When a data project grows from a few thousand requests to millions, the biggest challenge is usually not the code itself, but maintaining consistent access quality. Things like IP reputation, geographic coverage, and request stability can directly affect the final data quality.
Recently, I’ve been exploring different proxy infrastructures for automation and AI-related data workflows. One service I tested was Helodata, mainly because it provides a large residential IP network and flexible API access. So far, it has helped simplify some of the operational work behind data collection. Still exploring different setups and would like to hear how others handle proxy management at scale.