Is SOCKS5 always faster than HTTP proxy?

No. SOCKS5 has a slightly smaller handshake overhead (one round-trip versus HTTP CONNECT for HTTPS, which is also one round-trip but with more bytes), but on warm connections the difference is under 5ms. SOCKS5 wins on UDP support, not on raw speed for HTTP(S) traffic.

Can SOCKS5 see my HTTPS traffic?

No. SOCKS5 operates at the transport layer (TCP/UDP), below TLS. It forwards encrypted bytes without decrypting them. Same is true for HTTP CONNECT proxies — both are blind to TLS payloads.

Why do antidetect browsers prefer SOCKS5?

SOCKS5 supports DNS-over-proxy (resolving target hostnames on the proxy side, not locally), which avoids DNS leaks that would expose the real ISP. It also handles UDP traffic cleanly, which matters for WebRTC isolation.

Does HTTP proxy work for non-web protocols?

No. Pure HTTP proxies only forward HTTP(S). SOCKS5 forwards any TCP (and UDP) protocol — useful for SSH tunneling, FTP, custom protocols, gaming clients, scrapers that use websockets, and so on.

Should I use SOCKS5 for web scraping?

For most scraping workloads against modern websites, either works. We default to SOCKS5 for residential IPs because it integrates better with anti-detect tooling and avoids DNS leak issues that show up at scale. For datacenter scraping where speed matters more than fingerprint cleanliness, HTTP CONNECT is fine.

AnalysisJul 5, 20268 min read

The Economics of Proxy Types: What Residential, Datacenter and ISP IPs Really Cost

Mark Lev

Network operations lead. Has been running residential SOCKS5 proxy stacks since 2019.

The only unit that matters: cost per surviving session

Proxy marketing quotes price per IP or per gigabyte because those numbers look small. Neither is the number your operation runs on. What you actually pay for is a session that completes without a ban — and once you price that unit, the three proxy types stop being interchangeable products at different price points and become different bets on survival probability.

The model in one table

	Datacenter	Residential (per-IP)	Static ISP
Sticker cost	$0.01–0.05/IP	$0.05–0.24/IP	$2–5/IP/mo
Survival vs protected targets	5–20%	85–95%	90%+ (until burned, then gone)
Effective cost per surviving session	$0.10–0.50	$0.06–0.28	Amortized over weeks of reuse
Failure mode	Whole subnets banned at once	Individual IP flagged	Identity lost with the IP

Read the second row twice: against Cloudflare-, PerimeterX- or DataDome-protected targets, the "cheap" datacenter IP is the most expensive option on the board, because you buy five to twenty of them per successful session. LunaProxy's whole pay-per-IP model exists in the gap that math opens.

Churn: the cost line nobody itemizes

Bans don't just consume IPs — they consume everything attached to the IP. A banned scraping session is a retry; a banned aged social account is weeks of warming destroyed; a banned seller account can be a business. So weight IP cost by the value of what rides on it: put your cheapest IPs under disposable work and your most trusted IPs (static ISP from carriers like Comcast or Deutsche Telekom) under accounts you cannot afford to re-create. Spending $5/month protecting a $500 account is not a proxy expense, it's insurance.

Building a portfolio, not a plan

Mature operations on luna-proxy.com converge on the same three-layer split: rotating residential per-GB for high-volume harvesting, pay-per-IP residential SOCKS5 for identity work in antidetect browsers, and a thin layer of static ISP under long-lived money accounts. Because Luna balances never expire, the per-IP layer doubles as a buffer — buy in bulk at $0.05–0.08/IP effective, draw down as churn demands.

FAQ

When is datacenter genuinely the right buy?

Unprotected targets: your own services, public datasets, latency-sensitive infrastructure work. There, survival is 100% and residential premiums buy nothing.

How do I measure my own cost per surviving session?

Total proxy spend ÷ completed sessions, tracked per target per week. Most teams discover their "cheap" pool is their most expensive line within the first report.