Residential vs Datacenter vs ISP Proxies: Which Should You Choose?

Choosing the wrong proxy type is the most common reason scraping jobs get blocked and automation accounts get banned. It is rarely a code problem. The scraper is fine, the browser fingerprint is fine, and the requests still come back as challenge pages — because the network the traffic appears to come from does not match the kind of user the target expects.

That expectation has hardened considerably. Automated traffic passed human traffic for the first time in a decade in 2024, and the systems built to sort one from the other now start with the network origin. Getting the proxy type right is the first filter you have to pass, before anything you do at the request layer matters.

Those numbers come from Imperva's 2025 Bad Bot Report, and they explain why anti-bot vendors have moved past simple IP blocklists. The practical consequence for you is narrow and useful: the cheaper the IP, the more work the rest of your stack has to do to compensate.

Quick comparison

The table is the shortest possible answer. The rest of this guide is about the cases where the shortest answer is wrong — because the trade-offs only show up once a workload runs for more than an afternoon.

Residential proxies

Residential proxies route your traffic through IP addresses assigned by ISPs to real home devices. Because the request looks like it comes from a genuine consumer connection, they achieve the highest success rates on sites with strong anti-bot protection. They are billed per gigabyte and can rotate on every request or hold a sticky session for up to 72 hours.

Why the traffic passes

The advantage is not the IP itself but the network context around it. Consumer ISP ranges carry a different ASN, a different reputation history and a different traffic mix than hosting ranges. A web application firewall scoring an incoming request sees a network that ordinary customers also use, which makes an outright block expensive for the site to justify.

Where residential is the right call

• Protected scraping — marketplaces, search results, travel inventory and anything behind a serious bot-management vendor.
• Price and availability monitoring where you need results from a specific country or city rather than from wherever your server happens to live.
• Ad verification, where the whole point is to see what a real local user sees.
• Wide discovery runs that need many exits and do not depend on one persistent identity.

Where it disappoints people

Two things catch teams out. The first is latency: routing through a consumer line adds roughly a quarter of a second per request, which is invisible on a monitoring job and painful on a checkout race. The second is the billing model — per-GB pricing punishes workloads that download heavy pages. If you are pulling image-rich product pages at volume, measure your bytes per useful record before you scale, not after.

Datacenter proxies

Datacenter proxies are hosted on cloud and server infrastructure rather than assigned by an ISP. They are the fastest and cheapest option, with sub-50ms latency and unmetered bandwidth, but they are also the easiest to detect because their ranges are published and widely catalogued.

That detectability is not automatically disqualifying. Plenty of targets have no bot management at all, and for those a datacenter IP is simply the correct tool: you get more requests per euro than any other type and you are not paying for trust you do not need.

• Best for: high-volume scraping of sites that don't aggressively block, internal API testing, SEO rank tracking on tolerant endpoints, load generation.
• Strengths: lowest cost per request, lowest latency, no bandwidth meter to watch.
• Trade-offs: high fraud score, first to be blocked, and a shared range can be burned by someone else's traffic before you ever use it.

ISP proxies

ISP proxies — also called static residential proxies — are hosted in data centers but registered under residential ISP names. They combine the speed and stability of datacenter infrastructure with the trust of a residential ASN, and they carry a zero fraud score. Because they are static, they are the natural home for anything that needs a consistent identity over time.

This is the type people discover last and then over-buy. An ISP proxy is worth its premium when an account, a login session or a warmed browser profile is tied to it for weeks. It is wasted on a scraper that would be equally happy with a fresh exit on every request.

• Best for: social media account management, persistent logins, anti-detect browser profiles, fast Shopify drops, brand protection.
• Strengths: residential trust plus datacenter speed, one IP assigned to one customer, unmetered bandwidth.
• Trade-offs: premium per-IP price, no rotation, and concurrency is capped by how many IPs you rent.

A simple rule for choosing

1. 1Does the task need one identity that survives over time — an account, a warmed profile, a long login? Choose ISP.
2. 2Does it need many believable exits against a target that fights back? Choose residential.
3. 3Does it need volume against a target that doesn't fight back? Choose datacenter.
4. 4If two answers apply, you have two workloads. Split them rather than compromising on one type.

Mapping that onto real jobs is usually unambiguous once you state what the target expects a legitimate user to look like:

Running more than one type

Most operations past their first month run a mixed stack, and it is not overengineering. The reasoning is that a proxy is a claim about who is making the request, and different jobs make different claims. A discovery crawler claiming to be a thousand different households is credible. An account claiming to be a thousand different households is not.

The proxy layer is not a transport detail. It is part of the story your traffic tells, and the story has to stay consistent from the first session to the fiftieth.

A typical split looks like this: ISP proxies pinned one-to-one to long-lived accounts inside Multilogin or a similar profile manager, residential bandwidth behind the Scrapy or Playwright jobs that collect data, and a handful of datacenter IPs for internal health checks that never touch a defended target.

What the cost difference actually looks like

Per-GB and per-IP pricing are hard to compare in the abstract, so it helps to run the numbers on a concrete job. Take a monitoring task that pulls 200,000 pages a month at an average of 250 KB per page — about 50 GB of transfer.

The static options look dramatically cheaper until you notice the constraint: ten IPs means ten identities. If the target rate-limits per IP, you are not running 200,000 requests through ten addresses without being throttled. Bandwidth pricing buys you exit diversity; per-IP pricing buys you unmetered throughput on a small number of trusted addresses. Neither is cheaper in general — they are cheaper for different shapes of work. Our pricing page lists the current rates for all three.

Five mistakes that cost real money

1. 1Buying residential for a target that never blocked anything. Check first. A single test request answers this.
2. 2Rotating IPs mid-session. A login flow that changes address between the form and the submit looks like session hijacking. Use a sticky session.
3. 3Pinning many accounts to one ISP proxy. The whole value of a static IP is that it belongs to one identity. Sharing it links the accounts together.
4. 4Optimising for pool size. A large shared pool with abused exits performs worse than a small clean one. What matters is the history of the exit you actually get.
5. 5Ignoring page weight on per-GB billing. Blocking images and fonts in your fetcher routinely cuts residential spend by half or more.

Where to go next

If you now know the type but not the configuration, the two follow-up decisions are session behaviour and location. Rotating vs sticky sessions covers the first, and our location coverage covers the second. If you are still deciding whether you need proxies at all, start with what a residential proxy is.