Cheap Shared Proxies from $0.20/proxy at 25
Shared proxies put up to 5 users on each IP instead of one, and carry a bandwidth allowance rather than an unmetered one. They run on datacenter blocks we own and announce, with 3 GB per proxy pooled across your order, at a fraction of the dedicated price. For testing, development and moderate-volume work, paying for exclusivity you are not using is simply waste.
What up to 5 users per IP actually means
It means a published, enforced ceiling on how many customers share an address. Providers that publish a cap set it at two or three, and charge several times more per address (market check, August 2026). Providers at our price publish no figure at all, so you cannot know whether you have four neighbors or forty. Five is denser than the published caps and a fraction of their price, and unlike an unpublished pool it is a number you can hold us to. Nobody can see anyone else's traffic; the trade-off is reputation, since another user's behavior can affect an address you share. If your targets are strict, buy dedicated.
- 3 GB per proxy, pooled across your whole order
- HTTP(S) and SOCKS5 on one credential
- Username/password or IP whitelist authentication
- Instant provisioning from the dashboard
How allocation works, mechanically
Shared proxies are static addresses, delivered exactly like the dedicated tier: your allocation appears on the dashboard's Proxies page as a list of IPs with their ports, you connect directly to each address, and traffic egresses from the address you connected to. There is no gateway and no rotation: what you buy is a fixed list. The difference is entirely in allocation: each address is assigned to at most 5 customers instead of one, and that cap is applied when addresses are handed out, not enforced by throttling you afterwards. Everything else (the owned blocks, the nodes, the ports, the protocols, the two authentication modes) is identical to dedicated.
The neighbor problem, stated plainly
Sharing an address means sharing its reputation, and it is worth being precise about what that risk is and is not. It is not privacy: users cannot observe each other's traffic, and credentials are checked on every connection. It is history: a target one of your neighbors has annoyed may rate-limit or challenge the shared address before you ever send it a request, and you will not know which addresses carry history until you use them. The mitigations are mechanical: spread work across your allocation, retry a failing request from a different address, and keep per-address request rates modest so that you are not the neighbor causing the problem. When the same target keeps biting across several of your addresses, that is not bad luck; it is the signal that the workload has outgrown shared.
When cheap stops being cheap
For tolerant targets the price difference against dedicated is roughly a factor of seven, and the occupancy cap keeps contention rare. The advantage erodes on strict targets, where neighbor history converts into retries and retries convert into engineering time. A reasonable rule: if you find yourself building per-address health tracking around a shared allocation, the effort has already cost more than the dedicated upgrade you were avoiding. Shared is priced for workloads where a retry is a statistic, not an incident.
When to choose shared over dedicated
Shared is the right choice for development and staging, moderate-volume scraping of tolerant targets, geo-checking, and anything where an occasional retry is acceptable. Choose dedicated when reputation must be entirely yours: account-based automation, sustained high volume, or targets with strict per-IP limits.
What you are actually buying
These are not a scraped or rented pool. They are datacenter blocks allocated to us and announced by us, run at a higher occupancy per address than our exclusive tier. Run whois on any address we hand you if you want to check.
A sensible path from free to paid
This product has the lowest-friction evaluation path we offer: every verified account gets a small allocation with no card required, so you can put real datacenter addresses in front of your target before spending anything. Use it to test the one thing that actually differs by target: whether datacenter ranges are accepted at all. If free-tier addresses are refused outright, no shared or dedicated tier will change that, and you want the residential product; buying more datacenter would be spending money to relearn the same fact. If they are accepted, start with the smallest shared tier and scale, promoting specific hostile targets to dedicated addresses as they earn it.
Pricing
Shared Datacenter
Up to 5 users per IP, on datacenter blocks we own and announce
| # of Proxies | Price per Proxy | Total | Discount |
|---|---|---|---|
| 25 | $0.20 | $5.00 /mo | - |
| 50 | $0.18 | $9.00 /mo | Save 10% |
| 100Popular | $0.17 | $17.00 /mo | Save 15% |
| 250 | $0.16 | $40.00 /mo | Save 20% |
| 500 | $0.15 | $75.00 /mo | Save 25% |
| 1,000 | $0.14 | $140.00 /mo | Save 30% |
- Bandwidth
- 3 GB per proxy, pooled across your order
- Top up any time
- Threads
- Unlimited
- Protocols
- HTTP(S) / SOCKS5
Connection details
Datacenter blocks we own and announce, allocated at up to 5 users per address.
Code examples
curl -x http://USER:PASS@203.0.113.42:4443 https://api.ipify.org
# SOCKS5 on the same credential
curl --socks5-hostname USER:PASS@203.0.113.42:1443 https://api.ipify.orgpip install requests[socks]import requests
PROXY = "http://USER:PASS@203.0.113.42:4443"
r = requests.get("https://api.ipify.org",
proxies={"http": PROXY, "https": PROXY}, timeout=30)
print(r.text)
# 3 GB per proxy, pooled across the order - a busy address is covered by a quiet one
big = requests.get("https://example.com/large-file",
proxies={"https": PROXY}, stream=True)
print(sum(len(c) for c in big.iter_content(8192)), "bytes")npm install https-proxy-agentimport { HttpsProxyAgent } from "https-proxy-agent";
const agent = new HttpsProxyAgent("http://USER:PASS@203.0.113.42:4443");
const res = await fetch("https://api.ipify.org", { agent });
console.log(await res.text());How it compares
| Feature | This page | Dedicated | Residential |
|---|---|---|---|
| Users per IP | Up to 5 | 1 | Shared pool |
| Entry price | $0.20/proxy at 25, $0.14 at 1,000 | $1.49/proxy at 5, $0.75 at 1,000 | $2.49/GB at 3 GB, $0.49 at 5 TB |
| Bandwidth | 3 GB per proxy, pooled | Unlimited | Metered per GB |
| Infrastructure | Owned datacenter blocks | Same owned blocks | Partner network |
| Reputation control | Shared with up to 5 users | Entirely yours | Varies by exit |
| Protocols | HTTP(S) + SOCKS5 | HTTP(S) + SOCKS5 | HTTP(S) + SOCKS5 |
| Best for | Dev, testing, moderate volume | Account work, sustained volume | Hosting-blocked targets |
What people use these for
Development and staging
Paying dedicated prices so a test suite can hit an API is waste. Shared gives the same behavior at a fraction of the cost.
Moderate-volume scraping
For tolerant targets where an occasional retry is acceptable, occupancy of up to 5 is usually not the limiting factor.
Geo-checking and QA
Verify that a site renders correctly from a different network without provisioning dedicated addresses for it.
Learning and prototyping
Start on the free allocation, then scale into a paid plan when the workload earns it.
Frequently asked questions
How many people share each IP?
Up to five, and we publish and enforce it, which is the part worth checking elsewhere. Providers that publish a figure cap at two or three and charge several times more per address; many at our price publish nothing at all. Five is the honest price of cheap: you know exactly what you are sharing.
Can other users see my traffic?
No. Sharing an exit address does not expose traffic between users. What is shared is the address's reputation with destination sites.
Is bandwidth limited?
Yes, and it is generous for the price rather than generous outright, which is the honest way to put it. The allowance is 3 GB per proxy, pooled across your order, so 100 proxies share 300 GB and a busy address is covered by a quiet one. Webshare is the fair comparison and we beat it: 250 GB across 100 proxies, at about three times our price for unlimited. Bright Data and IPRoyal are not that comparison and it would be misleading to list them as one: both meter around 100 GB per address before billing or throttling, which across a large order is far more headroom than our pool, at several times our per-address price. So if bandwidth rather than address count is what you are actually buying, the shared tier is the wrong product: dedicated is genuinely unlimited, and rotating is sold by the gigabyte. Past the pool you can buy more or move up a tier.
Do you offer free proxies?
Yes. Every verified account gets a small free allocation, with no card required.
Do shared proxies rotate?
No. These are static addresses: the list you are allocated is the list you have, and each request leaves from whichever of your addresses you connect to. Rotating client-side, iterating over your own list, is entirely possible and often sensible, but if you want rotation as a service, with one endpoint and selection handled behind it, that is the rotating product, running on the same owned blocks.
What if a website blocked my shared IP before I ever used it?
It can happen: a neighbor may have used the address against that target before you arrived, and blocks are per-target, so an address can look fine on an IP checker and still fail on one specific site. Retry from another address in your allocation first; if a particular address is consistently dead for the traffic you bought it for, paid plans can refresh it for a fresh IP within a monthly allowance. If the pattern repeats across your whole allocation on one target, the target is classifying the range or the sharing itself, and dedicated, or residential, is the honest answer.
Can I mix shared and dedicated proxies in one account?
Yes, and it is the pattern we would recommend over an all-or-nothing choice. Both are static products with the same ports, protocols and credentials, so a client that works against one works against the other unchanged. Run bulk, tolerant work on shared, put the targets that punish shared history on dedicated addresses, and the only thing that changes between them in your code is the IP list.
Are shared proxies suitable for sneaker sites, ticketing or social platforms?
We would rather lose the sale than say yes. Those targets combine aggressive hosting-range classification with per-address history scoring, which hits shared datacenter proxies on both flanks at once. Residential is the only product in our catalog with a realistic footing there, and even it is a tool, not a talisman. Shared belongs on tolerant targets (development, QA, monitoring, moderate-volume scraping), where its price is the point.
Will other users slow my proxies down?
Contention is possible in principle (you are sharing a machine's egress address with up to four other customers), but the occupancy cap exists precisely to keep it rare. Bandwidth is metered on shared, as a pooled allowance across your order rather than a per-address quota. In practice, the difference you are most likely to notice against dedicated is not speed but the occasional target-side challenge inherited from a neighbor, which is a retry, not an outage. If your workload cannot tolerate even that, dedicated is the correct tier.
Guides for Cheap Shared Proxies from $0.20/proxy at 25
Setup, targeting and troubleshooting, written for people already running this in production.
- First working request in about ten minutes
- Shared, private and residential: what actually differs
- Using proxies from Python
- Using proxies from Node.js
- Benchmarking a provider yourself
- Which authentication method to standardize on
- Proxy authentication with curl, flag by flag
- Pointing a browser at a proxy
- Forward and reverse proxies are different machines