Weee!, a vertically integrated fresh grocery platform, faced dual challenges in real-time price monitoring: evading advanced anti-scraping mechanisms (IP blocking, behavioral analysis, CAPTCHAs) and achieving sub-200ms data latency. Solutions deployed included a rotating IP pool (>1M daily addresses) with AI-driven request scheduling to mimic human patterns, reducing CAPTCHA triggers from 72% to 0.9%. Network optimizations peering slashed latency to 17ms for e-commerce endpoints. Custom Linux kernels enabled 43% syscall reduction, supporting 15,000 QPS during peak traffic. Post-implementation metrics show 182ms API response times (vs 620ms baseline) and 99.997% data consistency, enabling real-time competitive pricing strategies compliant with China’s MLPS 2.0 regulations.
