static vs rotating proxies
Rotate when requests are independent. Hold a static address when a session, a login or an account has to persist.
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Proxy types explained
This is the first decision anyone makes about proxies and the one that most often gets made backwards. The distinction is not about speed, and it is not really about quality. It is about who the address belongs to, and therefore what it costs a target to block it.
A datacenter proxy is an address allocated to a hosting company. A residential proxy is an address a consumer internet provider allocated to a household. Everything else — the price gap, the block-rate gap, the reason one is metered per gigabyte and the other leased per address — follows from that single fact.
Last reviewed 15 Jan 2026.
At a glance
Use datacenter proxies until a target starts scoring the network type, then escalate only that target to residential.
Datacenter egress is roughly an order of magnitude cheaper per unit of traffic and is faster, because the addresses sit on well-provisioned racks rather than on domestic broadband. On targets that do not weigh network reputation it is simply the correct answer, and paying residential rates for those requests is waste. On targets that do weigh it, no amount of rotation rescues a hosting address, because the ASN itself is the signal being scored. The cheapest architecture routes every hostname through datacenter egress first, measures the block rate per hostname, and promotes only the failures.
The two options
Definitions first. Most of the confusion in this comparison comes from names that describe how an address is sold rather than what it is.
Consumer ISP addresses, metered per gigabyte
Addresses assigned by consumer internet providers to real households, made available as proxy egress under contract with the person or network that holds them. Traffic leaving one is indistinguishable, at the network layer, from that household's own browsing.
Hosting-allocated addresses, leased per IP or metered cheaply
Addresses allocated to hosting providers and served from racks with substantial upstream capacity. They are cheap to provision, fast, and identifiable as hosting space by anyone who consults a routing table.
Side by side
| Dimension | Residential | Datacenter |
|---|---|---|
| Address source | Consumer ISP allocations, contracted | Hosting provider allocations |
| How a target sees it | Indistinguishable from household traffic | Identifiable as hosting space from the ASN |
| Relative cost | Substantially higher per gigabyte | The cheapest egress available |
| Latency | Domestic broadband: higher and variable | Rack-grade: low and consistent |
| Billing model | Per gigabyte | Per address, or per gigabyte on rotating pools |
| Pool scale | Millions of addresses, per-request rotation | Thousands to hundreds of thousands |
| Blocking cost to the target | High: risks blocking real customers | Low: no legitimate customer is behind it |
| Best fit | Reputation-sensitive targets, geo-specific content, account workflows | Tolerant targets, internal systems, very high volume |
Every IP address is announced to the internet by an autonomous system, and the AS number is public. Looking up whether an address belongs to a consumer broadband provider or to a hosting company is a table lookup that costs a target nothing and can be done before your first byte of content is served.
That asymmetry is the entire mechanism. Blocking a consumer ISP range risks blocking paying customers, so a target needs real evidence before it does. Blocking a hosting range risks blocking nobody who was going to buy anything, so the evidence bar is far lower — often just the fact that the range is hosting space. This is why the same scraper, with the same headers, the same request rate and the same TLS fingerprint, succeeds from one network type and fails from the other.
It also explains a pattern that confuses teams new to this: adding more datacenter addresses does not help. Rotation solves per-IP rate limiting. It does nothing about a classifier that scores the ASN, because every address you rotate to belongs to the same category of network.
Residential bandwidth has a hard cost floor that datacenter bandwidth does not. A datacenter address is a line item on a rack that is already paid for; a residential address is capacity on somebody's home connection, and that person is compensated for it. That is why residential is billed per gigabyte rather than per address, and why nobody sells it at datacenter rates however aggressive their marketing is.
The practical consequence is that page weight becomes a budget line. A document fetch typically moves between forty and two hundred and fifty kilobytes; the same page rendered in a headless browser, pulling images, fonts, analytics and advertising, routinely exceeds a megabyte. Blocking resource loads is usually a bigger lever on residential spend than any pricing tier, and it is entirely within your control.
Retries are the other multiplier that gets missed. A failed request consumes bandwidth you paid for and returns nothing, so a pool with a lower headline rate and a worse success rate can easily cost more per successful response. Cost per successful request is the only figure that survives contact with a real workload.
Treat network type as a per-hostname property rather than a per-project decision. Start every hostname on the cheapest pool that could work — rotating datacenter for most collection — and record the block rate per hostname rather than in aggregate. An aggregate figure hides the shape of the problem: it is almost never that everything degraded slightly, it is that a handful of hostnames went to zero.
Promote only the hostnames that fail. In a typical mixed workload the majority of hostnames never leave datacenter egress, and the minority that do account for most of the residential spend. Teams that route everything through residential from day one commonly spend several times what this pattern costs for the same collected data.
Keep the promotion reversible and re-check it. Target defences change, and a hostname that needed residential egress last quarter may not need it now. A scheduled re-test of promoted hostnames against the cheap pool is a small job that pays for itself repeatedly.
There is a third category worth knowing about before you conclude this is a binary choice. ISP proxies — sometimes called static residential — are addresses registered to a consumer internet provider but hosted in a datacenter. They present as residential space in a lookup while running at rack speed and being available as a dedicated address.
That combination suits a specific job: workloads that need residential plausibility and a stable identity at the same time, such as anything behind a login. A rotating residential address is exactly wrong for a logged-in session, because the address changing mid-session is itself the anomaly that triggers a challenge.
The trade is exclusivity for breadth. You get one address, and one address does not rotate, so a per-IP rate limit applies to everything you do. For collection at volume, a rotating pool remains the right tool; for identity, a leased address is.
Decision rules
If your workload matches one of these, the choice is already made. If it matches none, start on the cheaper option and escalate what fails.
| Scenario | Choose | Why |
|---|---|---|
| Collecting from tolerant targets at high volume | Datacenter | Nothing about the workload requires consumer plausibility, and datacenter egress is the cheapest denominator in cost per successful request. |
| Targets fronted by a commercial anti-bot vendor | Residential | Network type is scored before anything else you can control, and no rotation strategy compensates for a hosting ASN. |
| Anything behind a login | ISP or static residential | A persistent identity needs a persistent address; rotation underneath a session is the anomaly, not the defence. |
| Geo-specific pricing or catalogue content | Residential in-country | Consumer geography is what the storefront segments on, and a rack in the right country is not the same signal as a household in it. |
Questions
Recommendation
Route by hostname, not by project. Start cheap, measure per target, promote only what fails, and re-check the promotions periodically — that single pattern is worth more than any pool-size comparison you will read.
Rotate when requests are independent. Hold a static address when a session, a login or an account has to persist.
ISP proxies for a stable identity that reads as consumer space. Rotating residential for breadth across many addresses.
Mobile when the target treats a shared carrier address as inherently plausible. Residential for everything else, at a fraction of the cost.
Every claim on this page is checkable in an afternoon. Claim 50MB of free residential bandwidth, run your own hostname list through it, and compare block rate and cost per successful request against whatever you use now.
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