Tiered Proxy Strategy Cuts Web Scraping Costs by Up to 90% Without Losing Data

A software engineer writing on DEV Community describes a cost-cutting approach to web scraping infrastructure called a 'proxy waterfall,' which routes requests through progressively expensive tiers only when cheaper options fail. The method starts with direct requests and free TLS fingerprint fixes before escalating to datacenter proxies, then residential proxies, and finally managed anti-bot services as a last resort. The author reports reducing spending on BrightData by 90% and ScrapingBee by 67% for a client without any drop in success rates, simply by restructuring how traffic is routed. A key technical insight is that soft blocks — pages returning HTTP 200 but containing a CAPTCHA or decoy content — must be detected through content-level validation rather than HTTP status codes alone. The approach also caches which proxy tier succeeded for each URL pattern, avoiding unnecessary escalation on repeat requests.