Oxylabs vs LimeProxies
We put Oxylabs and LimeProxies side by side on price, pool depth, coverage and reliability. Every number here is pulled from our provider database and updated as the market moves — no vague marketing claims.
Oxylabs (Residential & Datacenter, $8.00/GB) and LimeProxies (Datacenter (Dedicated), $3/IP/mo) both target serious proxy users, but they win on different axes. LimeProxies is cheaper ($3/IP/mo vs $8.00/GB) — roughly 3× the gap.
Oxylabs positions itself as the enterprise data collection infrastructure provider. At $8.00/GB with minimum spend requirements, they target large organisations exclusively. Cheapest-Proxies delivers equivalent anonymity at a fraction of the cost.
LimeProxies focuses on high-performance dedicated datacenter proxies. Speed is their differentiator but datacenter IPs are increasingly fingerprinted by sophisticated anti-bot systems.
Oxylabs vs LimeProxies: the numbers
Spec-by-spec
| Price | $8.00/GB vs $3/IP/mo |
|---|---|
| Pool size | 100M+ IPs vs 500K+ IPs |
| Countries | 195 vs 40 |
| Uptime | 99.9% vs 99.7% |
| Speed | Fast vs Ultra-Fast |
| Support | Enterprise SLA vs 24/7 Chat |
| Anonymity | High vs Low |
| Rating | 4.5★ vs 4.1★ |
Oxylabs wins on
- 100M+ IP pool — largest claimed
- Advanced scraping APIs and SDKs
- Excellent uptime and reliability
- Strong compliance framework
LimeProxies wins on
- High-speed dedicated IPs
- Very high uptime
- Good for SEO tools
- Competitive datacenter pricing
Verdict
Our pick: Oxylabs. It edges ahead on our rating (4.5★ vs 4.1★). That said, choose LimeProxies if you specifically need high-speed dedicated ips.
The right choice balances block-rate against cost per GB — and on that axis the value leader wins for the overwhelming majority of use cases.
Frequently asked questions
Is Oxylabs or LimeProxies cheaper?
Which is better, Oxylabs or LimeProxies?
What pool sizes do they offer?
How much should this cost?
The right choice balances block-rate against cost per GB — and on that axis the value leader wins for the overwhelming majority of use cases.