How to Choose a Residential Proxy Provider: A Data-Driven Guide

Go to any residential proxy providers website and its the same story. Five-star reviews, "50 million IPs", success rates nobody can verify. We got sick of it so we built our own test rig. Three providers, thousands of requests, automated three-plane testing running every 15 minutes around the clock. What we found doesn't match what any of these companies say on their websites.

What metrics should you check before buying residential proxies?

We track five things: session reliability, success rate, latency, geo-accuracy, IP uniqueness. Figuring out how to weight them took a while. We argued about it internally for like two weeks before settling on the current scoring formula. Session reliability and core network each got 30%, geo-integrity got 20%, neutral and target reachability split the last 20%.

Session reliability turned out to be the big one. Sticky sessions dont work? Your whole scraping pipeline falls apart, not partially, the whole thing. We tested all three providers and every single one scored 0.0 on this. We actually re-ran the tests because we thought our setup was broken. It wasn't. The sessions die around request three or four, new IP gets assigned, rate-limiting kicks in. That's just how it is with these providers right now.

For success rate IPRoyal got 83.7%, FleetProxy 80.2%, GonzoProxy 81.4%. Sounds close but at 10,000 requests that 3.5% gap between IPRoyal and FleetProxy means 350 extra failures. If you're running continuous scraping thats a lot of retries and wasted bandwidth.

Latency: IPRoyal was 1,089ms median, FleetProxy 1,337ms, GonzoProxy 1,519ms. The GonzoProxy number is about 25% slower than IPRoyal. Doesn't sound like much but at 100 requests per minute your scraper just feels sluggish. Like something is broken except nothing is broken, its just slow proxies. You can check the current numbers on our live dashboard.

How much do residential proxies cost per GB in 2026?

Ok so this part is more complicated than it looks.

IPRoyal is $5.00/GB. FleetProxy is $2.65/GB. GonzoProxy charges $6.50/GB. If you just look at those numbers FleetProxy wins easy. We thought the same thing when we first started testing.

Then we divided by success rate and the math changed. IPRoyal's real cost per usable GB is $5.97. FleetProxy $3.30. GonzoProxy balloons to $7.97. FleetProxy still cheaper but the gap is smaller.

Heres where it gets weird though. Say your scraping job needs 10 GB. FleetProxy costs $26.50 for that. IPRoyal costs $50. But if IPRoyal's better success rate means you only burn through 8 GB instead of 10, your IPRoyal bill drops to $40. Still costs more but the difference gets smaller and smaller the more you look at it.

We went back and forth on this a lot. Honest answer is it depends entirely on what sites you're hitting. FleetProxy burns more traffic on sites with aggressive bot detection. IPRoyal handles those better because of the higher success rate. "Cheap" provider isnt so cheap once you count the failed requests piling up.

Something we didnt expect at all: geo pricing. US traffic costs more with some providers, EU traffic costs more with others, theres no pattern to it. Mobile IPs cost extra almost everywhere. That $2.65/GB number from FleetProxy? Thats their best case. We didn't ask about geo-specific pricing the first time we tested and the invoice was way higher than we budgeted for. Ask for tier-specific pricing before you commit to anything.

Why do provider-claimed pool sizes not match reality?

"50 million residential IPs." Every provider puts something like this on their landing page. Some say 100 million. We wanted to know if those numbers actually mean anything so we measured it.

They don't. At least not the way you'd think.

In our tests IPRoyal showed 100% unique IPs. GonzoProxy also 100%. FleetProxy was 98.2%. Those numbers sound amazing but keep in mind we're testing over short windows. Nobody is going to make 50 million requests to verify a pool size claim. What providers are doing is counting every IP they've ever had access to. A bunch are locked behind enterprise contracts. Others sit in geos that nobody requests, ever. Some just run the providers internal stuff. You wont see any of those.

The number that actually tells you something is unique IPs per request batch. Send 1,000 requests, count how many come back from different IPs. If you get 990 unique ones thats 99% diversity. Thats fine. Target sites wont be able to fingerprint you if they keep seeing different IPs each time.

Heres a quick way to check before you pay anything: grab a trial, send 100-500 requests, count how many unique IPs you get back. If diversity is below 95% the pool is way smaller than what's advertised. Our methodology page has the full breakdown of how we measure this.

What is session reliability and why does it matter for scraping?

This metric drove us crazy during testing.

Session reliability is about sticky sessions. You ask for an IP, you're supposed to keep that same IP for 5-30 minutes so your requests maintain state. Login on request one, add to cart on request two, checkout on request three. All from the same IP. Thats how its supposed to work.

We sent five consecutive requests asking for session pinning. By request three every provider assigned a different IP. Session broken. We tested this over and over, hundreds of cycles, same result.

In real scraping this is a disaster. You log into an e-commerce site. Next request adds an item to cart. But it came from a different IP so the server thinks its a completely different person. Cart is empty. Session is gone. So now what, you re-authenticate from yet another IP and that triggers rate limits. Or worse you end up logging in 100 times per checkout flow which just burns money and gets you flagged by every bot detector on the site. We wasted an entire weekend debugging this thinking our code was wrong. It wasn't. The proxies just don't hold sessions.

Zero percent session reliability across all three. We're not sure if thats a fundamental limitation of residential networks at this price range or if these providers just haven't put the work in to optimize it. Either way if your scraping workflow needs persistent sessions, none of these three will work for that specific use case.

Some providers sell dedicated session pools at 2-4x the regular price. We havent tested those yet, thats on our list. But if session pinning is a must for you, ask about them before giving up on residential proxies.

How does geo-accuracy affect your data quality?

All three providers scored exactly 15.0 out of 20 on geo-integrity. Same number. We double-checked because it seemed weird that they'd all be identical.

What 15/20 means in practice: you request a US proxy, you get an IP that says its in New York. You check against MaxMind and it comes back as Singapore. Target site gets a request from what looks like a Singapore IP trying to pull US pricing. So it either shows you Singapore prices, different inventory, or just blocks you outright.

The bad part is that nothing looks broken. The request succeeds, you get data back, it just happens to be wrong data. We had this one batch, about 10 out of 100 IPs turned out to be mislocated. Didnt notice until the pricing data came back and nothing added up. $3 for something that costs $30 in the US market. That's when we started spot-checking geo on every batch.

Our advice, do this before you commit to anyone: grab MaxMind or IPQualityScore, check 50-100 IPs. If more than 5% are mislocated you need to budget time for filtering and validation. Not complicated code but annoying and its time you probably didn't account for. Current geo scores are on our provider pages.

Should you test providers before committing?

Don't buy a plan first. We did this early on and regretted it. Paid for a month, started scraping, found out the provider worked great on some targets and terribly on others. Our benchmarks are averages across many targets. Your specific targets might perform completely different.

Run 50-100 requests against your actual sites first. Not httpbin, not a speed test. Your real targets with your real scraping code running in your actual environment. IPRoyal averages 1,089ms in our tests but your target might be a slow e-commerce backend that times out at 2,000ms no matter what proxy you use. FleetProxy's residential rate might work fine for what you need or it might not. Only way to know is test it.

If you can afford it, trial two providers at the same time on the same targets during the same hours. We started doing this after getting burned by a provider that looked fine in isolation but was noticeably worse when tested side by side. Exact same target during the exact same hours and the results were night and day.

Write it all down somewhere, we use a spreadsheet: success rate, how many failures, P50 and P95 latency, geo-accuracy, session reliability. Thats your baseline for deciding whether paying 2x for a better provider actually saves money at your traffic volume.

Plan for at least 24-48 hours of testing. You can get a decent signal from 6-12 hours of production-level traffic but that won't show you things like weekend bot-detection changes or monthly target-site maintenance windows. We re-test every quarter. If something breaks sooner than that we re-test right away.

Frequently Asked Questions

What's the difference between residential and datacenter proxies?

Residential proxies use real ISP-assigned IP addresses, the kind that get assigned to peoples homes. Datacenter proxies come from cloud servers. Residential IPs are harder for target sites to detect and block because they look like normal user traffic, but they're slower and more expensive per GB. Datacenter proxies are fast and cheap but more and more sites block them automatically because the IP ranges are well known.

Can residential proxies bypass rate-limiting?

They help with IP-based rate limits because rotating IPs makes the target site think requests are coming from different users. But blast 10,000 requests in an hour even across different IPs and the site will notice the volume and block you anyway. Residential proxies get around IP-based limits. They don't get around volume-based limits. Those are different things.

Should I buy a large IP pool or a rotating pool?

This is mostly a marketing distinction honestly. All residential proxies rotate, just at different speeds. Some rotate every request, some every 5 minutes. "Pool size" just means total IPs in their network. Says nothing about rotation speed or how many of those IPs youll ever actually get. Focus on IP diversity in your real requests not the number on the providers website.

What happens if my proxy provider shuts down?

Your traffic dies and theres no automatic failover. This is why provider stability matters. How long have they been operating? Do they have real funding or are they burning through VC money? Is the business model sustainable? Read the fine print, especially uptime guarantees and what happens with refunds. More providers go down or disappear than youd expect.

Do I need a dedicated IP pool?

Probably not unless you're doing serious volume. Shared pools are fine for most scraping. Dedicated pools mean you don't share bandwidth with other customers and you dont get blocked because of some other users bad behavior, but they cost 3-5x more. Just start shared. You can always move to dedicated later when you actually run into scaling issues, no point paying 3x for a problem you dont have yet.

How do I detect datacenter IPs disguised as residential?

Run the IPs through MaxMind or IPQualityScore. They classify each IP as residential, datacenter, or mobile. If 20% of what they sell you as "residential" turns out to be datacenter IPs, youre getting ripped off. Any decent provider should be above 95% accurate classification.

Can I use residential proxies for ad verification?

Yeah its one of the more common use cases for residential proxies. Main thing to watch out for is the ad platforms terms of service. Most allow research and verification. Competitive analysis where you're scraping ad networks might be a different story though. Check the robots.txt and TOS for whatever you're targeting before you scale up.