Datacenter proxies are fast and cheap but easy for websites to detect, because their IPs are registered to hosting companies. Residential proxies route traffic through real household connections — far harder to block, but slower and metered per gigabyte. My rule: datacenter for unprotected targets, residential for protected sites, ISP proxies for stable sessions, mobile for the hardest targets.
Key takeaways
- Datacenter proxies are the cheapest and fastest type, but their IPs sit in hosting-company ASN ranges that anti-bot systems flag first.
- Residential proxies use real household IPs and are metered per gigabyte — entry rates ran roughly 4 to 7.35 dollars per GB across the major providers per published pricing in July 2026.
- ISP (static residential) proxies combine datacenter hosting with consumer-ISP registration, making them the best fit for long-lived, stable sessions.
- Mobile proxies share carrier-grade NAT IPs with thousands of real users, which gives them the highest trust and the highest cost.
- Match the proxy type to the target protection level: start with the cheapest type that works and escalate only when block rates make it worth paying more.
Why the four proxy types behave so differently
Every IP address carries metadata: which autonomous system (ASN) announces it, whether that ASN belongs to a hosting company or a consumer ISP, and how the address has behaved historically. Anti-bot systems score all of it. A request from an Amazon Web Services range is treated very differently from a request from a home broadband connection, even if the traffic is byte-for-byte identical.
That single fact explains the entire proxy market. The four commercial proxy types — datacenter, residential, ISP, and mobile — are really four answers to the question: whose IP address do you borrow, and how much trust does it carry?
Swipe to see all columns
| Datacenter | Residential | ISP (static residential) | Mobile | |
|---|---|---|---|---|
| IP source | Servers in commercial data centers | Real household devices on consumer ISPs | Datacenter hardware with consumer-ISP registration | 3G/4G/5G devices behind carrier-grade NAT |
| Typical cost model | Per IP or unlimited bandwidth, lowest cost | Per GB of traffic | Per IP per month | Per GB or per port, highest cost |
| Detection resistance | Low — hosting ASNs are publicly mapped and pre-flagged | High — traffic looks like ordinary home users | Medium-high — trusted ASN but static and traceable over time | Highest — blocking a CGNAT IP hits thousands of real users |
| Speed and stability | Fastest, most stable | Slower, depends on the end device staying online | Datacenter-grade speed with a fixed IP | Slowest, subject to carrier network conditions |
| Session persistence | Full control, IPs never change unless you rotate them | Sticky sessions typically minutes to hours, sometimes days | Excellent — same IP indefinitely | Limited — carrier may reassign IPs |
| Best for | Unprotected targets at high volume, internal testing | Protected e-commerce, SEO tracking, ad verification, market research | Long sessions on moderately protected sites | The most aggressive anti-bot targets, mobile ad verification |
| Weakest at | Anything with modern bot management | Bandwidth-heavy jobs, strict latency budgets | Wide geo coverage, large-scale rotation | Cost-sensitive or high-throughput work |
Engineer’s take (Hinata): Tables like this make the four types look like a menu of equals, but the number I would compute before signing anything is cost per successful page. Datacenter proxies charge you in retries and engineering hours once blocks start, while residential charges you in bandwidth for every byte you fail to trim — the sticker price is only one input. And that math drifts as targets upgrade their defenses, so a choice that pencils out today deserves a quarterly re-check.
Datacenter proxies: fast, cheap, and the first to get flagged
Datacenter proxies run on servers in commercial facilities. Because the hardware is virtualized and bandwidth is cheap, providers can sell them per IP — often with unlimited traffic — at a fraction of residential rates. Latency is low and throughput is high, since there is no home router or mobile network in the path.
The weakness is structural. IP ranges owned by hosting companies are documented in public registries, and anti-bot vendors ship those mappings as ready-made blocklists. A website does not need to observe your behavior to distrust a datacenter IP; the ASN alone is enough to raise its risk score or trigger a CAPTCHA.
Datacenter proxies still earn their place for:
- Unprotected or lightly protected targets — public datasets, many government and academic sources, smaller sites without bot management.
- High-volume jobs where cost dominates — when you are pulling millions of pages, per-GB residential pricing is prohibitive.
- Infrastructure tasks — load testing your own properties, monitoring your own sites from multiple regions, QA work.
When datacenter proxies fail
They fail abruptly, and usually all at once. Because providers own contiguous subnets, a target can ban an entire /24 range in one rule and take out hundreds of your IPs simultaneously. Shared datacenter IPs also arrive with history: if a previous customer abused an address, its reputation is already damaged before your first request. Any target running modern bot management — combining TLS fingerprinting, behavioral analysis, and IP reputation — will filter datacenter traffic as a matter of routine. Subnet diversity is the first spec I would check on any datacenter plan — a thousand IPs packed into a few ranges are far less resilient than the count suggests.
Residential proxies: real household IPs for protected targets
Residential proxies route your requests through IP addresses assigned by consumer ISPs to real households, typically sourced through opt-in SDK partnerships and bandwidth-sharing applications. To a target website, the request appears to come from an ordinary home connection in a specific city. We cover the mechanics, sourcing ethics, and legality in detail in our guide to what a residential proxy is.
Scale is the headline claim in this segment, and it is the number I trust least. Bright Data claims 400M+ monthly residential IPs across 195 countries, Oxylabs claims 175M+, Decodo (formerly Smartproxy) claims 115M+, and IPRoyal claims 64M+ — all vendor-published figures as displayed in July 2026. For context, Proxyway's independent Proxy Market Research 2026 puts the median advertised residential pool across 13 benchmarked providers at 54M IPs, and advertised pool size says little about how many IPs are simultaneously usable in your target country.
What you actually buy is capability: geo-targeting down to city, ZIP code, or ASN level (offered by Oxylabs, Bright Data, and Decodo per their product pages), rotation on every request, and sticky sessions — up to 24 hours at Oxylabs and up to 7 days at IPRoyal, according to their published feature lists.
When residential proxies fail
Residential proxies fail slowly and expensively rather than abruptly:
- Bandwidth economics. Per-GB metering punishes inefficient scrapers. Unblocked images, uncompressed responses, and blind retries all bill against your plan. A job that is trivial on unlimited-bandwidth datacenter IPs can cost hundreds of dollars per month on residential traffic.
- Latency and stability. Vendor-claimed average response times range from 0.41 s (Oxylabs) to roughly 0.7 s (Bright Data) — slower than datacenter connections, with more variance, because the exit node is someone's home device that can go offline mid-session.
- Not immune to blocking. Sophisticated targets score behavior, not just IPs. A residential IP sending 50 requests per second looks nothing like a household and gets treated accordingly. Pairing the right proxy type with sane request patterns is covered in our guide on how to scrape without getting blocked.
ISP proxies: datacenter speed with residential trust signals
ISP proxies — often marketed as static residential proxies — are hosted on datacenter infrastructure but registered under consumer ISP ASNs. The result is a hybrid: datacenter-grade speed and uptime, a fixed IP that never rotates underneath you, and an ASN that reads as a home broadband provider.
That combination makes ISP proxies the default choice when session continuity matters more than pool size: managing a stable set of monitored locations for price tracking, maintaining consistent regional vantage points for SEO rank checks, or any workflow where a changing IP mid-session breaks the task. Note that providers police this category more tightly than others — IPRoyal, for example, makes KYC verification mandatory specifically for its static residential product, per its published KYC policy.
When ISP proxies fail
ISP pools are small compared with rotating residential networks, and the IPs are static — so when one is flagged, it stays flagged. There is no pool churn to dilute reputation damage. Geo coverage is also narrower: providers concentrate ISP proxies in a handful of countries, so they are a poor fit for scraping that needs presence in dozens of markets. And detection vendors increasingly fingerprint known ISP-proxy ranges the same way they map datacenter subnets; the trust advantage is real but eroding.
Mobile proxies: the expensive last resort
Mobile proxies exit through 3G/4G/5G connections. The key property is carrier-grade NAT (CGNAT): mobile carriers put thousands of subscribers behind a single public IP. A website that blocks one mobile IP blocks a crowd of legitimate customers with it, so most targets treat mobile ranges with extreme leniency.
That leniency is why mobile proxies survive on targets that filter everything else, and why they are the standard tool for mobile ad verification — confirming that in-app and mobile-web ads actually render as booked, from a genuine carrier connection.
When mobile proxies fail
Cost and physics. Mobile bandwidth is the most expensive in the industry, latency is the highest of the four types, and carriers reassign IPs on their own schedule, which limits session control. For the overwhelming majority of price monitoring, SEO tracking, and research workloads, mobile is overkill — reach for it only after residential proxies with good request hygiene have demonstrably failed.
What each type costs in practice
Cost models differ more than headline prices. Datacenter and ISP proxies are usually priced per IP per month, often with unmetered traffic. Residential and mobile proxies are metered per gigabyte, which shifts the cost driver from how many IPs you hold to how much data you move.
Here is where published residential pricing stood, according to their pricing pages as fetched on July 17, 2026:
| Provider | Pay-as-you-go | Published tier range |
|---|---|---|
| Oxylabs | Not shown on the pricing page as fetched | 6 dollars/GB (5 GB at 30 dollars/mo) down to 2.50 dollars/GB (1 TB at 2,500 dollars/mo) |
| Bright Data | 4.00 dollars/GB (a 50 percent promo off an 8 dollars/GB list price) | 3.50 dollars/GB (141 GB) down to 2.50 dollars/GB (798 GB) |
| Decodo | 4.00 dollars/GB plus VAT | 3.75 dollars/GB (3 GB) down to 2.00 dollars/GB at enterprise volume |
| IPRoyal | 7.35 dollars/GB (1 GB) down to 5.15 dollars/GB (50 GB) | Subscriptions run about 5 percent cheaper; marketing cites bulk rates down to 1.75 dollars/GB |
Two market-level notes from Proxyway's 2026 research (data collected March-April 2026): residential pricing has stabilized after declines of up to 75 percent between 2023 and 2025, and both Oxylabs and IPRoyal retired long-running discount codes while revising permanent plans down roughly 25 percent — so the sticker price you see is closer to the real price than it used to be. For a full cross-provider breakdown including scraper-API pricing, see our proxy pricing comparison.
How to choose: a five-question decision framework
Work through these in order and stop at the first type that fits:
- How protected is the target? Run a small pilot with datacenter IPs. If success rates hold above your threshold, you are done — nothing cheaper or faster exists. This is the single biggest cost lever in any scraping budget.
- Do you need long, stable sessions from fixed locations? If yes, and the target is only moderately protected, ISP proxies beat rotating residential: same trusted ASN class, no mid-session IP changes, predictable per-IP pricing.
- Is the target actively blocking datacenter and ISP traffic? Move to rotating residential. Budget by estimating pages-per-month times average page weight, then multiply by the per-GB rate — and trim page weight first (block images, request compressed responses) before buying more traffic.
- Does the job specifically involve mobile ecosystems, or has residential failed despite good request hygiene? Only then pay mobile rates.
- Would a scraping API be cheaper than proxies plus your own unblocking logic? All four providers above sell per-request scraper APIs (from 0.25 dollars per 1K results at Oxylabs to 1.50 dollars per 1K requests at Bright Data's Web Unlocker, per their published pricing in July 2026). If your engineering time is the scarce resource, per-request pricing that only bills successful results can beat per-GB proxy traffic. I build web systems for a living, and I would still think hard before owning unblocking logic — it is a moving target you maintain forever, not a one-time build.
This article is part of our broader web scraping guide, which covers the full stack — proxies, headers, fingerprints, and parsing — in sequence. If you have already settled on residential and need a provider shortlist, our best residential proxies roundup compares the major networks on documented evidence.
Compliance: the part the comparison tables skip
ProxyFacts covers proxies for legitimate data collection — price monitoring, SEO tracking, ad verification, AI training data, and market research. We do not provide guidance for sneaker botting, ticket scalping, account farming, credential workflows, or collecting personal data, and reputable providers increasingly will not either.
Access requirements are now a real differentiator. Bright Data restricts its residential network to verified companies that pass a human-reviewed KYC process — including corporate email verification and, in some cases, a video call — per its KYC FAQ. Oxylabs requires every customer to complete a KYC form at signup, with risk-based escalation to ID verification, per its KYC and safety policy. Decodo screens every registration and actively blocks high-risk targets such as banking and ticketing sites, per its security and compliance page. IPRoyal runs KYC through third-party provider iDenfy, mandatory for static residential access. If a provider asks you nothing about your use case, treat that as a warning sign, not a convenience.
One final cost trap: free proxies. An academic study of more than 640,000 free proxies presented at NDSS MADWeb 2024 found that only 34.5 percent were ever active, and identified thousands of vulnerabilities on proxy IPs plus nearly 17,000 proxies that manipulated content in transit (Free Proxies Unmasked). We break down the full risk picture in free vs paid proxies.
Bottom line
The residential vs datacenter question is really a cost-versus-trust trade: datacenter proxies win on price and speed everywhere they are not blocked, and residential proxies exist precisely for the places they are. ISP proxies buy session stability in the middle, and mobile proxies buy access at the top of the difficulty curve. Start with the cheapest type your target tolerates, measure block rates instead of guessing, and escalate one tier at a time — your proxy bill should be a response to evidence, not a default.