Datacenter Proxies vs Residential Proxies: Speed, Detection and Real Cost

Comparison guide · Last reviewed 28 September 2026 · 12 min read

Datacenter proxies vs residential proxies is a trade between price and acceptance. Datacenter proxies are fast and cost a fraction per gigabyte, but websites can see that their IPs belong to hosting companies. Residential proxies cost more per gigabyte, but their IPs belong to real home connections, so far fewer sites refuse them. The right choice depends less on the proxy than on the website you are sending traffic to. This guide compares the two on speed, detection, targeting and real cost per successful request, then shows how to use both together so you only pay residential prices where you need to.

Datacenter Proxies vs Residential Proxies at a Glance

Mobile and ISP proxies are two more options with their own trade-offs; our overview of residential, mobile and datacenter proxies compares all four side by side. This guide goes deeper on the two most common choices.

What Are Datacenter Proxies?

A datacenter proxy forwards your traffic through a server in a commercial data centre, using an IP address registered to a hosting or cloud company. These networks are built for throughput: fast links, low latency and hardware that runs around the clock. Providers can add IPs in large blocks, which keeps the price per gigabyte low and the connections stable.

Datacenter proxies come in a few forms. Shared proxies give many customers the same IPs; dedicated or private proxies give one customer exclusive use of each IP; rotating datacenter proxies put a gateway in front of a large pool and hand out a fresh IP per request or keep a sticky session. ProxyEmpire’s rotating datacenter proxies work the rotating way, with about 197,000 IPs across 62 countries, country-level targeting, and HTTP, HTTPS and SOCKS5 on the same credentials. Plans run from 40 GB for $25 to 5,000 GB for $1,750, which is $0.35 per GB.

The weakness is visible in the first sentence: the IP belongs to a hosting company. Anyone can look up which organisation owns an address, and a real shopper rarely browses from a server rack.

What Are Residential Proxies?

A residential proxy sends your request out through a real device on a home internet connection, whose owner has agreed to share spare bandwidth. The exit IP is the household’s own address from its broadband provider, so to the website it is simply another visitor. A gateway in front of the network lets you choose the country, region, city, ZIP code, ISP or ASN, and whether each request gets a new IP or a sticky session keeps the same one.

ProxyEmpire’s residential network has more than 30 million IPs in more than 170 locations, with targeting included at no extra charge and sticky sessions that have no fixed time limit: the IP stays until you rotate it or the device behind it goes offline. The costs are the price per gigabyte and a speed that depends on each home connection. Our guide to what residential proxies are covers how networks are sourced and what to look for in a provider.

Why Websites Treat Datacenter and Residential Proxies Differently

Every IP address on the internet is registered to an organisation and announced under an autonomous system number (ASN). Commercial IP intelligence databases label those networks: hosting, business, consumer broadband, mobile carrier. Many websites, and most anti-bot services, check that label on every request. The consequences depend on the site:

• Sites that do not check at all. Many public pages, small shops, documentation, most APIs and your own websites accept any IP. Datacenter proxies work perfectly here.
• Sites that rate-limit per IP. They care about volume, not origin. Datacenter proxies usually work if you rotate and keep request rates reasonable.
• Sites that score IP type. Large retailers, travel sites, search engines, social networks and ticketing platforms often challenge or block hosting IPs outright, or serve them a CAPTCHA. Residential proxies are the practical option.

Two other signals matter. Datacenter IPs tend to sit in neat, consecutive blocks, so a site that blocks one address can block its whole range at once; residential IPs are scattered across thousands of providers and neighbourhoods. And shared datacenter IPs carry the history of every other customer who used them. None of this is about the proxy being “bad”: a hosting IP is honest about what it is, and some sites simply choose not to serve traffic from servers.

Datacenter vs Residential Proxies: Cost per GB vs Cost per Success

Price per gigabyte is easy to compare and easy to misread. What you actually buy is successful responses: pages with the data in them, not block pages, CAPTCHAs or empty results. A blocked request still uses traffic, and retries multiply it. The example below is illustrative, but the logic applies to any project: collect 100,000 product pages of about 250 KB each, so 25 GB if every request succeeds the first time.

Prices use datacenter’s smallest plan ($0.625 per GB) and residential pay-as-you-go ($3.50 per GB); both fall on larger plans. The pattern is clear. On open sites, datacenter proxies win by a factor of five or more. On moderately protected sites they are still cheaper, as long as your scraper retries well and you can live with the extra time. On heavily protected sites the question is not price but whether you get the data at all. Run your own numbers with a small test: success rate on your real targets is the only input that matters, and our pricing page has the current plan rates.

Datacenter or Residential Proxies: Which to Use for Your Job

If a job needs the same IP every day, for example a handful of accounts that must always log in from one address, consider ISP proxies, which combine a consumer ISP’s IP with server speed; our guide to ISP vs residential proxies explains when they beat both. For search-engine work specifically, see proxies for SEO, and for monitoring projects, price monitoring with proxies.

Use Both: A Datacenter-First Fallback Setup

Most serious scrapers do not choose one type forever. They send each request through the cheapest proxy that works for that site, and escalate when it stops working. With ProxyEmpire both products live in one dashboard, so the logic fits in a few lines:

import requests

DC  = "http://DC_USERNAME:PASSWORD@DC_HOST:PORT"
RES = "http://RES_USERNAME:PASSWORD@v2.proxyempire.io:5000"
BLOCK_MARKERS = ("captcha", "access denied", "unusual traffic")

def looks_blocked(r):
    return r.status_code in (403, 429) or any(
        m in r.text.lower() for m in BLOCK_MARKERS)

def fetch(url):
    for proxy in (DC, RES):
        try:
            r = requests.get(url, proxies={"http": proxy, "https": proxy},
                             timeout=30)
            if not looks_blocked(r):
                return r
        except requests.RequestException:
            pass
    return None

Keep per-site statistics as you go. When a domain fails on datacenter IPs most of the time, send it straight to residential and save the wasted first attempt; when a residential-only domain relaxes, test datacenter again. Over a large project this routing usually cuts proxy spend sharply compared with sending everything through residential, without losing coverage. Our Python web scraping guide covers retries, timeouts and sessions in more detail.

A few habits help whichever type you use: set realistic timeouts, back off when you see 429 responses, validate the content of every page rather than trusting the status code, and keep request rates in line with what a site can comfortably serve. ProxyEmpire’s support team is available 24/7, staffed by real people, if a target behaves unexpectedly.

ProxyEmpire proxies are for lawful use. Some site categories, such as banking, payment and government websites, are blocked by default on all products.

Datacenter vs Residential Proxies FAQ

References

1. IANA: Number resourcesHow IP addresses and AS numbers are allocated
2. ARIN: Autonomous System NumbersWhat an ASN is and who needs one
3. RIPE NCC: AS numbersRegistration of networks in Europe and the Middle East
4. MDN: 429 Too Many RequestsRate limiting and the Retry-After header