Even split — pick on price or use case based on available benchmark data — our tests, independent lab reports and published specs. Last updated Aug 23, 2026.
Even split — pick on price or use case. We'd pick Proxymania for most teams that need russian-market proxy provider selling dedicated ipv4, dynamic ipv6, shared ipv4, mobile, isp and residential proxies. prices start from a few rubles per ip, with http(s)/socks5 support, ipv6 rotation by timer, a developer api and 24/7 support., but the right answer depends on your workload — read the full review of each below.
On the entry tier, Proxymania is the lower-cost option per gigabyte. Proxymania starts at $0.00/GB and Proxyscrape starts at $19.00/GB on residential. Both providers offer volume discounts, so the absolute cheapest tier depends on your monthly commit.
Proxyscrape has the larger advertised residential pool. Proxymania reports 15M+ residential IPs (vendor claim) across 210+ countries; Proxyscrape reports 120M+ residential IPs (plus ~40,000 datacenter IPs) across 195+ countries. Pool size is one signal — actual exit-node freshness and rotation logic matter more in production.
Proxyscrape 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 — Proxymania is typically picked for datacenter workloads, while Proxyscrape is often chosen for residential use cases.
Proxyscrape 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 Proxymania gates dedicated account managers and Proxyscrape gates them on enterprise tiers.
Pick Proxymania when Russian-market proxy provider selling dedicated IPv4, dynamic IPv6, shared IPv4, mobile, ISP and residential p. Pick Proxyscrape when Belgian proxy provider (est. 2018) offering 120M+ residential IPs, datacenter, dedicated, mobile proxies and a. Most teams that consider both end up with either based on price or specific use-case fit.
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