.50/GB) and fast but flagged on sight by Cloudflare, Akamai, DataDome, and AWS WAF. Use them for unprotected public data only — anywhere else, residential or mobile wins.">
Proxies

What Is a Datacenter Proxy?

What Is a Datacenter Proxy? — conceptual illustration
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A datacenter proxy is an IP hosted in a commercial cloud or hosting facility — AWS, GCP, Azure, DigitalOcean, OVH, Hetzner. Cheap (~$0.50–$1.50/GB), fast (sub-100ms response from major regions), and unlimited bandwidth. Also the lowest-trust proxy type: every major anti-bot maintains an ASN-based blocklist of known datacenter ranges and flags traffic from them before the request reaches origin. Use them for unprotected public APIs and academic targets. For anything with a real anti-bot, the cost savings disappear because your success rate collapses.

Quick facts

Trust scoreVery low — flagged on sight by major anti-bot vendors
Typical cost~$0.50–$1.50/GB — cheapest proxy type
SpeedHighest — direct datacenter routing, ~50–100ms
Detection mechanismASN-based blocklists (AWS, GCP, Azure, DO, OVH, Hetzner all known)
Best forUnprotected APIs, academic targets, large static-HTML sites

How datacenter IPs are detected

Three layers of detection fire before the HTML even renders:

  1. ASN lookup at the CDN edge. Cloudflare, Akamai, DataDome, and AWS WAF maintain comprehensive lists of hosting-provider ASNs (AS16509 AWS, AS15169 GCP, AS8075 Azure, AS14061 DigitalOcean, plus OVH, Hetzner, Linode, Vultr, etc.). AWS WAF specifically maintains the HostingProviderIPList with ASN-based inclusion. Match → blocked.
  2. Published cloud subnets. AWS, GCP, and Azure publish their public IP ranges as official JSON feeds. Anti-bot vendors ingest these directly and update blocklists in near real time.
  3. Reverse-DNS pattern matching. Many datacenter IPs have PTR records like ec2-54-83-... or compute-1.amazonaws.com. Even when the ASN check is bypassed, the reverse DNS gives the IP away.

One widely-cited figure: roughly 99% of traffic from known datacenter ranges is bot traffic. Sites can therefore block on ASN with confidence that the false-positive rate (real users coming from AWS) is effectively zero.

When datacenter proxies are actually fine

Datacenter is the right tool when:

  • The target has no anti-bot at all. Public APIs, government open data, academic sites, large static-content sites that simply do not care about scraping.
  • The target is your own infrastructure. Monitoring your own production endpoints from a different region, geofence testing, load testing — datacenter is the right answer because your own systems do not block them.
  • You can authenticate. Once you have an API token, the ASN check usually falls away because authenticated requests are trusted differently. Datacenter is fine for authenticated API integrations.
  • You are testing. Burning cheap IPs to characterise a target before committing residential budget.

Anywhere else — Cloudflare, Akamai, DataDome, PerimeterX, F5 Shape, Kasada — datacenter is near-instantly blocked, no matter how perfect your TLS fingerprint is.

The proxy ladder by trust

From cheapest/least trusted to most trusted/most expensive:

  1. Datacenter — ~$0.50–$1.50/GB. Unprotected targets only.
  2. ISP / static residential — ~$1.50–5/IP/month. Datacenter hardware announced under residential ASNs. Akamai's multi-request scoring rewards them.
  3. Residential — ~$3–10/GB. Peer-to-peer networks of real consumer devices. The default for general anti-bot work.
  4. Mobile / 4G–5G — ~$10–15/GB. Real carrier IPs behind carrier-grade NAT, highest trust score. For the hardest DataDome and PerimeterX targets.

The rule of thumb: match proxy cost to target difficulty. Spending mobile-tier money on an unprotected academic dataset is waste; using datacenter on Nike or Walmart is also waste — every request fails.

Code example

python
# Datacenter is fine when there's no anti-bot. Confirm first.
from curl_cffi import requests

# 1. Cheap sanity check: does the target even care about my IP?
r1 = requests.get(
    "https://target.com/api/public",
    impersonate="chrome131",
    proxies={"https": "http://user:pass@datacenter-proxy:port"},
)

if r1.status_code == 200 and "Cloudflare" not in r1.text:
    # No anti-bot detected, datacenter is fine, save money
    print("Datacenter OK, proceeding")
else:
    # Anti-bot detected — escalate to residential or ISP
    r2 = requests.get(
        "https://target.com/api/public",
        impersonate="chrome131",
        proxies={"https": "http://user:pass@residential-proxy:port"},
    )
    print("Escalated to residential:", r2.status_code)

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Frequently asked questions

Why does AWS get flagged so hard?

Because the marginal cost of running a bot on AWS is near zero — scrapers, vulnerability scanners, and abusers all use it. Anti-bots see consistent bot traffic patterns from AWS ranges and assume any new request from that range is the same population. AWS WAF's own HostingProviderIPList includes all known hosting-provider ASNs on this basis.

Can I get unflagged datacenter IPs?

Some providers sell "premium" or "private" datacenter IPs that are not in the well-known ASN ranges. They work for a while; eventually the IP range gets characterised and added to blocklists. The cost-per-success ends up similar to residential, so the value proposition is weak.

What about ISP proxies — aren't those datacenter too?

Physically yes. But ISP proxies are announced under consumer ISP ASNs (Comcast, BT, Deutsche Telekom) via BGP, so anti-bots see "Comcast residential" instead of "AWS datacenter". The hardware is the same, the network announcement is different. That is the whole point of the ISP proxy product.

When does a datacenter IP get noticed even on an unprotected site?

At very high volume. A single IP firing 500+ requests per minute is trivially identified by any rate-limit logic regardless of how trusted it is otherwise. The advantage of higher-tier proxies is not just trust but the pool size that lets you stay under any individual IP's rate limit naturally.

Last updated: 2026-05-26