Just a couple of additions that might be interesting for readers:
IPv4 vs IPv6: The article doesn't mention the difference between IPv4 and IPv6 proxies. From a scraping perspective, it's worth noting that some target websites outright block IPv6 traffic, which can render IPv6 proxies useless in those cases. On the other hand, IPv6 addresses are more abundant, potentially allowing longer rotations and sometimes lower costs. It's a tradeoff worth mentioning.
Cost-optimized proxy strategy: One useful approach we've seen across multiple users is starting each request with the cheapest proxy type available (typically datacenter). If the request fails or gets blocked, the system retries with a residential proxy. If that also fails, it escalates to a mobile proxy. This fallback chain ensures both cost-efficiency and high success rates.
Session reuse with sticky residential IPs: Some of our users implement a smart technique with sticky residential proxies. They check the assigned IP before starting a scraping session. If the IP has been used by them before, they reload the exact same browser session they used before with the IP (persistent context). This way, any cookies or local storage values placed there by the target site's anti-bot system are preserved. Since both the IP and browser context match, trust signals are maximized.
Great article, thanks for the summary!
Just a couple of additions that might be interesting for readers:
IPv4 vs IPv6: The article doesn't mention the difference between IPv4 and IPv6 proxies. From a scraping perspective, it's worth noting that some target websites outright block IPv6 traffic, which can render IPv6 proxies useless in those cases. On the other hand, IPv6 addresses are more abundant, potentially allowing longer rotations and sometimes lower costs. It's a tradeoff worth mentioning.
Cost-optimized proxy strategy: One useful approach we've seen across multiple users is starting each request with the cheapest proxy type available (typically datacenter). If the request fails or gets blocked, the system retries with a residential proxy. If that also fails, it escalates to a mobile proxy. This fallback chain ensures both cost-efficiency and high success rates.
Session reuse with sticky residential IPs: Some of our users implement a smart technique with sticky residential proxies. They check the assigned IP before starting a scraping session. If the IP has been used by them before, they reload the exact same browser session they used before with the IP (persistent context). This way, any cookies or local storage values placed there by the target site's anti-bot system are preserved. Since both the IP and browser context match, trust signals are maximized.
Hope this adds value to the discussion!
Love the cost-optimized strategy! Thanks for sharing this.