The verdict
Even split — pick on price or use case. We'd pick ProxyEmpire for most teams that need proxyempire offers 30m+ ethically-sourced rotating residential, mobile, and datacenter proxies across 170+ countries with unique data rollover., but the right answer depends on your workload — read the full review of each below.
ProxyEmpire vs Proxys.io — frequently asked
Which is cheaper, ProxyEmpire or Proxys.io?
On the entry tier, Proxys.io is the lower-cost option per gigabyte. ProxyEmpire starts at $1.97/GB and Proxys.io starts at $0.13/GB on residential. Both providers offer volume discounts, so the absolute cheapest tier depends on your monthly commit.
Which has a bigger IP pool, ProxyEmpire or Proxys.io?
ProxyEmpire has the larger advertised residential pool. ProxyEmpire reports 30M+ ethically sourced residential IPs across 170+ countries; Proxys.io reports a sizable network across 240+ countries. Pool size is one signal — actual exit-node freshness and rotation logic matter more in production.
Which is better for web scraping, ProxyEmpire or Proxys.io?
ProxyEmpire edges ahead on overall success rate in the available benchmark data (our tests, independent lab reports and published specs). That said, the right choice depends on your target site mix — ProxyEmpire is typically picked for residential workloads, while Proxys.io is often chosen for ["datacenter" use cases.
Which has better support and SLA, ProxyEmpire or Proxys.io?
ProxyEmpire carries the higher trust score in our directory based on documented compliance, support responsiveness, and customer-base feedback. Both offer 24/7 channels at upper plans; only ProxyEmpire gates dedicated account managers and Proxys.io gates them on enterprise tiers.
Should I pick ProxyEmpire or Proxys.io in 2026?
Pick ProxyEmpire when ProxyEmpire offers 30M+ ethically-sourced rotating residential, mobile, and datacenter proxies across 170+ cou. Pick Proxys.io when Proxys.io is a UK-based provider of datacenter (IPv4/IPv6), residential and mobile proxies across 240+ countri. Most teams that consider both end up with either based on price or specific use-case fit.