Best Cheap Proxy Providers That Are Worth Buying

If you scrape or monitor at any real volume and your targets are reachable with datacenter IPs, the cheapest credible structure is an unlimited-bandwidth, thread-limited datacenter plan. You pay a flat monthly fee, you're capped on concurrency and speed rather than gigabytes, and retries cost you nothing extra. SparkProxy's entry plan is $75 a month for 100 threads with unlimited bandwidth, on a pool of 1M+ IPs across 80+ countries.

If your volume is genuinely small, a few gigabytes a month, or your targets only accept residential IPs, pay-as-you-go residential traffic from a budget vendor such as IPRoyal or Webshare will be cheaper in absolute dollars. Under roughly 25 GB a month, per-GB billing wins on price. Above that, flat-rate wins, and the gap widens with every retry.

If you want the cheapest thing that exists, free proxy lists, you pay in intercepted traffic and dead IPs instead of dollars. That trade is covered in detail in free vs paid proxies, and the summary is that it isn't a real option for anything you'd repeat or run a business on.

Everything below is the working behind those three paragraphs.

The only price that matters is what you pay for one usable response. Write the formula down before you compare anything:

cost per successful request = monthly plan cost / (requests sent x success rate)

Run two candidate plans through it and the ranking often flips. Take 500,000 requests a month against a moderately defended retail site, using illustrative success rates so you can see the shape of the math:

On raw cost per response the bargain plan wins, and that's the honest version most vendor roundups skip. What the table hides is the 290,000 requests that failed, the retry logic you now maintain, the engineering hours spent chasing intermittent blocks, and the fact that a 42% success rate usually means the pool is already fingerprinted, so the number tends to fall further rather than hold.

Use two numbers, not one:

• Cost per successful request tells you the floor.
• Success rate tells you whether the floor is stable.

Below roughly 70% success, a cheap plan stops being a purchase and becomes an engineering project. Price the engineering project too. If you don't measure this today, our complete guide to proxy testing covers the measurement, and what is IP reputation and why it matters explains why the cheapest pools tend to score worst.

Almost every cheap proxy offer is one of these four. Picking the right model saves more money than picking the right brand.

Two practical notes. Per-IP bundles are only cheap if the IPs are IPv4 and clean; IPv6 blocks are discounted precisely because many large sites refuse them or score them as higher risk, which we cover in IPv4 vs IPv6 proxies. And unlimited-bandwidth plans are bounded by threads, so your real throughput ceiling is a concurrency question. Understanding concurrent connections in proxies covers how to size that number against your crawl rate.

For how vendors construct these prices in the first place, see understanding datacenter proxy pricing models.

The entries below describe each vendor's own published positioning, taken from their public pricing pages as of September 2026. Proxy pricing changes often and volume discounts are frequently negotiated off-list, so confirm current rates on the vendor's own site before buying. None of this is a benchmark measured by SparkProxy.

Two names are deliberately absent. Bright Data and Oxylabs run capable networks, but neither is a budget purchase, and treating them as one wastes your evaluation time; if they're on your shortlist, compare them on enterprise terms instead. Separately, do not buy from NetNut at the moment: netnut.io currently resolves to FBI seizure nameservers, so treat it as non-operational regardless of any pricing still cached in comparison articles.

If you're mid-evaluation on one specific vendor, we keep dedicated breakdowns for Webshare alternatives, IPRoyal alternatives, Rayobyte alternatives and ProxyScrape alternatives.

Here's the part almost no cheap-proxy roundup mentions, and it drives more overspend on budget plans than the headline rate does.

On a metered per-GB plan, you are billed for failed requests. A 403 page, a CAPTCHA interstitial, a bot-management challenge, a redirect chain that ends nowhere: each one moves bytes, and every byte is metered. Blocks aren't necessarily small either. A challenge page carrying an embedded JavaScript runtime can weigh more than the product page you were trying to reach.

Model it against a target of 200 GB of successful responses a month:

Your invoice nearly doubles between the top and bottom rows without a single line of your code changing. The metered model transfers block-rate risk from the vendor to you, which is backwards from what you want when you're buying on price in the first place.

Flat-rate unlimited-bandwidth plans invert that. A retry costs nothing incremental, so a bad week against a hard target shows up as slower completion rather than a larger bill. That predictability is the real argument for flat-rate at the budget end, more so than the headline number. For what actually counts as billable traffic, see what is bandwidth in proxy services.

The counter-argument is fair and worth stating plainly: if your success rate is high and your volume is genuinely small, per-GB stays cheaper, and the retry tax on 5 GB a month is a rounding error. Flat-rate only wins once volume crosses break-even.

So you can run the same arithmetic on us, here are the published plans. All four include unlimited bandwidth and 30 days of validity, on a pool of 1M+ datacenter IPs across 80+ countries, including 50,000+ US IPs.

Pro (1500 threads, 200 Mbps) and Pro+ (2000 threads, 250 Mbps) exist in the Fair Usage Policy without a public price, and custom arrangements go up to 1 Gbps. That speed figure is a ceiling under fair usage, not a guaranteed sustained rate. Treat every vendor's speed claim the same way, including ours.

Break-even against per-GB residential is easy to compute. At $3/GB, $75 buys 25 GB. If your monthly traffic, successful plus failed, exceeds roughly 25 GB, Starter is cheaper, and the saving compounds because retries are free on a flat plan. At 200 KB per average response, 25 GB is about 131,000 fetches, which is a modest monitoring job rather than a big one.

Access runs through gateway.sparkproxy.io: port 11000 for HTTP and HTTPS, 11002 for sticky sessions, 13000 for SOCKS5.

If you'd rather not run proxy infrastructure at all, the Scraping API prices per request and handles rotation, rendering and retries behind a single endpoint. It starts with 1,000 free credits and no card. A plain fetch is 1 credit, a JavaScript render is 5, a screenshot or PDF is 10:

The lesson buried in that table applies to every scraping API, not only ours: rendering JavaScript costs five times a plain fetch, so the cheapest optimisation available is to stop rendering pages that don't need it. Audit that before you upgrade a plan. Web scraping API vs self-managed proxies covers which model is the right purchase for your team.

Signals that a low price is hiding a cost you'll pay later:

1. No trial, no free credits, no refund window. Credible budget vendors let you verify success rate before payment. One who won't is telling you the success rate is the problem.
2. "Unlimited residential bandwidth" at a low flat fee. Residential traffic carries a real per-gigabyte cost to the vendor. Unlimited residential at a budget price usually means an aggressive fair-use throttle you meet in week two, or a pool that isn't really residential.
3. A pool-size number with no ASN or subnet detail. Ten million IPs means little if they sit in a handful of contiguous datacenter ranges that targets block as a group. Ask how many distinct subnets and ASNs the pool spans.
4. IPv6 priced as if it were equivalent to IPv4. It's cheaper for a reason. Plenty of large sites don't serve IPv6 clients or treat them as higher risk.
5. Crypto-only payment with no company details. Not disqualifying alone, but paired with no refund policy and no registered entity, you have no recourse when the pool degrades.
6. Thread limits buried in the terms instead of the pricing page. Concurrency is the real capacity number on any flat plan. If it isn't published, assume it's low.
7. Resold public proxy lists. If the vendor's IPs also show up on free lists, you're paying for something everyone already has, complete with the reputation damage.

One more that's less obvious: on cheap shared pools, a neighbour's abuse becomes your block rate, and you have no visibility into who they are. Shared vs dedicated datacenter proxies breaks down when the dedicated premium earns its keep.

The variable that decides most of these rows is whether your targets accept datacenter IPs at all. Test that first, because it constrains your budget more than any vendor choice will. Residential vs datacenter proxies is the fast version of that decision.

Fifteen minutes of testing beats any roundup, this one included. Point the candidate proxy at your actual target and count outcomes rather than averages.

import requests, collections, time

PROXY = "http://USERNAME:PASSWORD@gateway.sparkproxy.io:11000"
TARGET = "https://your-real-target.example/product/12345"

codes, latencies = collections.Counter(), []
for _ in range(100):
    t0 = time.time()
    try:
        r = requests.get(TARGET, proxies={"http": PROXY, "https": PROXY}, timeout=20)
        codes[r.status_code] += 1
        latencies.append(time.time() - t0)
    except Exception as e:
        codes[type(e).__name__] += 1

print("success rate:", codes[200], "/ 100")
print("outcomes:", dict(codes))
print("median latency:", sorted(latencies)[len(latencies) // 2] if latencies else "n/a")

Three rules for that test. Use your real target, because a success rate against a test endpoint tells you nothing about the site you care about. Run at least a few hundred requests spread over an hour or two, since block systems react to sustained patterns rather than short bursts. And record the outcome distribution instead of a pass or fail count: a wall of 403s and a wall of timeouts are different problems with different fixes.

Testing the Scraping API instead? The 1,000 free credits cover the same experiment with no card:

curl -s "https://scrape.sparkproxy.io/api/v1" \
  -H "X-API-Key: sk-xxxxxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://your-real-target.example/product/12345", "country_code": "us"}'

Then compute the single number that decides the purchase: plan cost divided by successful responses. Whichever candidate wins that, buy it, and re-run the test each quarter because pools drift. For a fuller evaluation checklist covering uptime, support responsiveness and geo accuracy, see what to evaluate when selecting a residential or datacenter proxy service.