The verdict
Even split — pick on price or use case. We'd pick LunaProxy for most teams that need budget proxy provider with 200m+ residential ips across 195 locations, plus isp, datacenter, unlimited plans and a scraping api from ~$0.65/gb., but the right answer depends on your workload — read the full review of each below.
LunaProxy vs ProxyEmpire — frequently asked
Which is cheaper, LunaProxy or ProxyEmpire?
On the entry tier, LunaProxy is the lower-cost option per gigabyte. LunaProxy starts at $0.65/GB and ProxyEmpire starts at $1.97/GB on residential. Both providers offer volume discounts, so the absolute cheapest tier depends on your monthly commit.
Which has a bigger IP pool, LunaProxy or ProxyEmpire?
LunaProxy has the larger advertised residential pool. LunaProxy reports 200M+ residential IPs across 195+ countries; ProxyEmpire reports 30M+ ethically sourced residential IPs across 170+ countries. Pool size is one signal — actual exit-node freshness and rotation logic matter more in production.
Which is better for web scraping, LunaProxy or ProxyEmpire?
ProxyEmpire edges ahead on overall success rate against our nightly Cloudflare/Amazon/Google SERP test rig. That said, the right choice depends on your target site mix — LunaProxy is typically picked for residential workloads, while ProxyEmpire is often chosen for datacenter use cases.
Which has better support and SLA, LunaProxy or ProxyEmpire?
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 LunaProxy gates dedicated account managers and ProxyEmpire gates them on enterprise tiers.
Should I pick LunaProxy or ProxyEmpire in 2026?
Pick LunaProxy when Budget proxy provider with 200M+ residential IPs across 195 locations, plus ISP, datacenter, unlimited plans a. Pick ProxyEmpire when ProxyEmpire offers 30M+ ethically-sourced rotating residential, mobile, and datacenter proxies across 170+ cou. Most teams that consider both end up with either based on price or specific use-case fit.