Proxy providers ranked by price in 2026
Proxy providers ranked by price in 2026 depends on billing unit, not the headline rate. Compare datacenter, shared, rotating, and residential proxies.
Ranking proxy providers by price only makes sense once you rank the billing unit first: per IP, per GB, or per concurrent connection produces wildly different totals for the exact same scraping job. This guide ranks the four proxy types by what actually drives their cost in 2026: datacenter, shared, rotating unmetered, and residential, and tells you which one fits which job.
TL;DR
- Proxy providers ranked by price come down to billing unit, not the headline rate on the page.
- Dedicated datacenter proxies on owned IP blocks give the lowest per-address rate of any dedicated tier; shared allocation is lower still per address.
- Residential proxies cover 170+ countries and bill per GB, since the IPs are resold rather than owned.
- Rotating Unmetered bills by concurrent connections, never gigabytes, which changes the math at scale.
- Shared proxies are the cheapest entry point for testing before committing to dedicated infrastructure.
Why this matters
A price list without a billing unit attached is not a price, it is a marketing number. Two providers can quote what looks like the same rate and land far apart once you account for whether that rate is per IP, per gigabyte, or per concurrent connection. Node4's proxy plans list the unit next to every tier for exactly this reason: without it, you cannot compare anything.
Most buyers comparing proxy providers ranked by price are really comparing three separate decisions dressed up as one: how many IPs you need, how much bandwidth you'll actually pull, and how many things you need running at once. Get the unit wrong and you either overpay for headroom you never use or hit a wall mid-project.
The verdict
Dedicated datacenter proxies give the lowest per-address rate of any tier that assigns the address to you alone, for anyone scraping at volume and willing to stay inside a handful of countries. Shared proxies win for short test runs where you don't need a dedicated block yet. Rotating Unmetered wins once your bottleneck is concurrency, not bandwidth. Residential wins when the target site blocks anything that looks like a datacenter range, and you need coverage across most of the world to get there.
What makes a proxy price actually competitive
- Billing unit clarity: per IP, per GB, or per connection, stated plainly, not buried in a FAQ
- IP ownership vs. resold inventory: owned blocks tend to be cheaper and more stable than pooled, resold addresses
- Geographic footprint matched to the job: paying for 170+ countries when you only ever hit three is waste
- Session control: sticky duration and rotation interval determine how many requests one paid unit actually covers
- Protocol support without an upcharge: HTTP and SOCKS5 on the same plan, not a separate tier
- Pricing published on the site: no dashboard login, no deposit, no call with sales before you see a number
Each proxy type bills on a different unit, which is why the same headline rate can mean opposite things.
Proxy pricing models at a glance
| Type | Best for | Standout feature | Key limitation |
|---|---|---|---|
| Datacenter | High-volume scraping on a budget | Owned IP blocks, billed per IP | Only three countries of origin |
| Shared | Short test runs, low commitment | Lowest entry point | IPs shared with other users |
| Rotating Unmetered | Scaling concurrent jobs | Billed by connection, not GB | Bandwidth-heavy single jobs cost more per connection |
| Residential | Sites that block datacenter ranges | 170+ country coverage | IPs are resold, not owned, so quality varies by upstream |
1. Datacenter Proxies: the lowest per-address rate on a dedicated IP
Datacenter proxies run on IP blocks Node4 owns in the United States, Italy, and Spain. That ownership is what keeps the cost per IP low: there's no upstream reseller markup baked into the rate, and the inventory is thousands of owned IPs sitting on infrastructure Node4 controls end to end.
Datacenter proxies pricing model: billed per IP, on owned blocks, in three countries.
Datacenter proxies pros:
- Lowest per-address rate of any tier where the address is yours alone
- Stable, dedicated addresses with no rotation surprises
- Full HTTP and SOCKS5 support
Datacenter proxies cons:
- Limited to US, Italy, and Spain origin, not a global footprint
- More detectable by sites with aggressive datacenter-range blocking
- Not the right fit when the target requires a residential-looking IP
Best for: scraping jobs where the target site doesn't fingerprint datacenter ranges and geography doesn't need to move.
Verdict: Buy if your target list is US, Italy, or Spain and you're optimizing cost per request over stealth.
2. Shared Proxies: the cheapest way to test before you commit
Shared proxies run on the same owned datacenter network path, with the exit address split across multiple accounts, which is what pushes the entry cost below dedicated pricing. It's the tier built for validating a scraper or automation script before scaling it onto dedicated infrastructure.
Shared Proxies pricing model: billed per IP, shared allocation, owned blocks.
Shared Proxies pros:
- Lowest commitment of any tier
- Owned datacenter network path rather than a resold upstream pool
- Fast to spin up for a proof of concept
Shared Proxies cons:
- Other users on the same IP can affect reputation with some targets
- Same three-country limitation as dedicated datacenter
- Not built for sustained, high-volume production traffic
Best for: validating a script or a one-off scrape before paying for dedicated capacity.
Verdict: Buy for testing, Skip for anything running in production at scale.
3. Rotating Unmetered: built for concurrency, not bandwidth
Rotating Unmetered is billed by concurrent connections, never by gigabytes and never by IP count. That's a different cost curve than bandwidth-billed plans: a job that opens a lot of simultaneous connections but pulls small payloads gets cheaper here, while a job pulling huge payloads through few connections does not benefit as much.
Sticky sessions on this tier hold one exit IP for up to 30 minutes, measured from the moment the session is first assigned, not from your latest request. Plan around that: a session that's been open 25 minutes can rotate mid-task even if you just made a request a second ago.
Rotating Unmetered pricing model: billed by concurrent connections.
Rotating Unmetered pros:
- Cost doesn't climb with payload size, only with parallelism
- Sticky sessions available for workflows that need one IP for a stretch of time
- Exits from the same owned US, Italy and Spain footprint
Rotating Unmetered cons:
- Small-connection, huge-payload jobs don't see the same savings
- 30-minute sticky ceiling isn't long enough for very long-running single sessions
- Same three-country origin limitation
Best for: scraping workflows that fan out across many parallel requests rather than a few heavy ones.
Verdict: Buy if concurrency, not bandwidth, is your actual bottleneck.
4. Residential Proxies: coverage over cost per unit
Residential proxies are a separate product from the other three. The addresses come from an upstream supplier and get resold, which is standard practice across the residential proxy market, not a Node4-specific arrangement. In exchange for that resold inventory, coverage jumps to 170+ countries, far beyond the three-country footprint of the owned datacenter blocks.
Residential Proxies pricing model: billed per GB, sourced from upstream, resold. Connection pricing belongs to Rotating Unmetered, which is a datacenter product.
Residential Proxies pros:
- 170+ country coverage, useful for geo-specific targets
- Harder for sites to fingerprint and block than datacenter ranges
- Works for both scraping and general automation
Residential Proxies cons:
- Billed per gigabyte rather than per address, so the bill tracks data volume rather than headcount
- Quality depends on the upstream pool, which Node4 doesn't control end to end
- Overkill for targets that don't actually block datacenter IPs
Best for: targets that actively block datacenter ranges or that require a specific country's IP.
Verdict: Buy when the target blocks datacenter IPs outright, Hold if you haven't confirmed that it does.
Compare billing units directly
Every plan lists its billing unit and footprint on the page, no sales call required.
How this ranking works
The order above follows the criteria listed earlier: billing unit, ownership, footprint, session control, protocol support, and price transparency. Dedicated datacenter ranks first because owned inventory billed per address produces the lowest rate of any tier where nobody else is on the address with you; shared undercuts it per address by sharing it. Shared ranks second because it undercuts everything on entry cost, at the expense of dedicated reliability. Rotating Unmetered and Residential trade cost for concurrency and coverage respectively, which is why neither one is cheaper in an absolute sense, they're solving a different problem.
None of this ranking depends on a specific dollar figure. It depends on matching the billing unit to the shape of your workload, which is the only comparison that survives a pricing page redesign.
Which proxy type should you choose on price alone?
If you're optimizing purely for the lowest number on the invoice and your targets sit in the US, Italy, or Spain, datacenter proxies win. If you're not sure your script even works yet, start on shared and move up once it's proven. If the job is many small parallel requests, Rotating Unmetered's connection billing is the better fit than per-GB pricing for that shape of job. If the target blocks datacenter ranges outright and you need reach across most of the world, residential is the only tier that actually clears that bar, and it's worth the higher per-unit cost because the alternative is not getting through at all.
FAQ
What's the cheapest type of proxy in 2026?
Datacenter proxies on owned IP blocks usually carry the lowest per-address rate in 2026, because there's no upstream reseller markup, and a shared allocation on the same blocks comes in lower again. They're limited to the countries where the provider owns infrastructure.
Are datacenter proxies cheaper than residential proxies?
They are priced on different units. Datacenter proxies run on owned blocks billed per address, while residential proxies are resold from an upstream supplier and billed per GB. The two quote different units, so the honest comparison is which unit matches your job, not which number is smaller.
How does billing by connection differ from billing by GB?
Connection-based billing charges for how many things run at once, regardless of payload size. GB billing charges for total data moved, regardless of how many connections it took to move it. Pick the unit that matches your workload's actual bottleneck.
Is residential proxy pricing the same in every country?
No. Residential coverage spans 170+ countries, but availability and cost per unit vary by country because the addresses are sourced from an upstream pool, not owned infrastructure.
What is a sticky session on a rotating proxy?
A sticky session holds one exit IP for a set window, up to 30 minutes on Rotating Unmetered, measured from when the session first started rather than from your last request.
Do SOCKS5 proxies cost more than HTTP proxies?
Protocol choice by itself doesn't change cost. What changes the price is the billing unit and IP ownership behind the proxy, not whether you connect over HTTP or SOCKS5.
How many countries do residential proxies cover in 2026?
170+ countries, sourced from an upstream supplier and resold, which is standard for residential proxy inventory across the market.
Should I buy shared proxies to save money?
Shared proxies are the cheapest entry point for testing a script or workflow. For production traffic at volume, dedicated datacenter or Rotating Unmetered hold up better than shared allocation.
One last thing
The detail that trips up more automations than any pricing tier: a Rotating Unmetered sticky session counts its 30 minutes from first assignment, not from your last request. A session sitting idle for 20 minutes and then reused has 10 minutes left, not a fresh 30. Build session refresh logic around the assignment clock, not activity, or you'll get silent IP swaps mid-task in 2026 just like every year before it.