Most proxy purchases go something like this. Somebody on the data team grabs the cheapest plan with a decent-looking dashboard, the scraper runs fine for a week, and then one Thursday about 40% of requests start coming back as CAPTCHA pages.
Nobody picked badly on purpose. Proxy categories just get sold as if they’re the same product at different price points, and they aren’t, not even close.
How a Website Decides Who You Are
Every proxy relays your requests so the target sees its IP and not yours. Fine. What changes from one type to the next is who that IP is registered to, which turns out to matter a lot.
Bot filters on bigger sites check incoming addresses against ASN data, a sort of phone book for IP ranges. Traffic from an Amazon Web Services or Hetzner range reads as a server. From Comcast or Deutsche Telekom, it’s probably a person on a couch.
Most of the price gap between proxy categories comes down to that lookup, honestly.
Datacenter, Residential, ISP and Mobile
Datacenter IPs are the cheap seats. They’re fast, often sold per IP with unmetered bandwidth, and flagged by half-decent anti-bot setups within minutes, so keep them for soft targets like open government data or for hammering your own staging server in a load test.
Residential and ISP proxies are where buyers get confused most. Residential addresses come from real home devices and usually rotate; ISP proxies are static IPs registered to consumer providers but hosted in a data center. This ISP and residential proxy comparison lays out what that means for speed, session stability and cost if you’re choosing between the two.
Mobile proxies are a bit of a cheat code, though an expensive one. Carriers run carrier-grade NAT, which can put hundreds of phones behind a single public IP, so blocking one of those addresses means blocking real paying customers too. Sites mostly don’t risk it, and that’s what the high per-GB price buys you.
Whatever type wins, check the country list before anything else. Scraping Amazon.de from an Austrian pool will give you Austrian prices (close, but wrong), and datacenter IPs rarely get more specific than “somewhere near Frankfurt.”
What Matters More Than the Spec Sheet
Speed is overrated in proxy marketing. An 80 ms datacenter IP that’s blocked on 30% of requests will lose to a 600 ms residential one that gets through 98% of the time, because retries eat the difference and then some.
Sessions matter too. Logging into a marketplace seller account or holding a cart through checkout needs the same IP for 20 minutes, maybe longer, which pretty much rules out anything that rotates. For a one-off crawl of 50,000 public product pages, rotation is actually what you want.
Then there’s the protocol question, which people tend to remember too late. Plain HTTP proxies are fine for browser traffic, but tools that open raw TCP connections need SOCKS5 (spelled out in the IETF’s RFC 1928), and not every older automation tool supports it.
Billing is its own trap. Per-GB plans get ugly on image-heavy sites, and per-IP plans don’t love two-week projects that need 3,000 addresses. Do the math on your real traffic before comparing headline prices.
Run a Pilot First
A vendor’s 99.9% uptime badge says nothing about whether your target will accept the traffic. So run a pilot: roughly 1,000 requests per candidate network against the real site, logging status codes, response times and how many challenge pages come back.
Same scraper build, same time of day for each run. A Monday-morning traffic spike on the target can make a decent network look terrible.
It’s worth reading up on what the other side checks, too. Cloudflare’s guide to bot management covers JavaScript challenges and behavioral analysis, the stuff that gets a perfectly clean residential IP blocked when the scraper clicks through pages like a metronome.
Where This Is Heading
Plenty of teams end up running two networks at once: datacenter for bulk, low-risk collection, and ISP or residential for anything behind a login. It’s less tidy than sticking with one vendor, but the bill usually comes out lower and block rates don’t creep up.
Detection keeps shifting toward behavior and away from IP origin, so expect the categories to blur over the next couple of years. Teams watching success rate per target, rather than price per gigabyte, will see it first. Probably a good reason to avoid annual contracts for now.
