Searches for "high bandwidth proxies" usually mean one thing: you need to move a lot of data through a proxy and you would like the bill to stay sane. The answer depends less on which provider you pick than on which pricing model you pick, because proxies are sold two different ways and the cheaper one changes with your volume.
What "high bandwidth" means when you are buying proxies
Every proxy product on the market falls into one of two billing models.
- Metered (per GB). You pay for the data that passes through the proxy, and the IP addresses themselves are effectively free. Residential, mobile and rotating datacenter proxies are sold this way.
- Unmetered (per IP). You pay a flat price for each IP per day or per month and push as much data through it as you like. Static datacenter and static residential (ISP) proxies are sold this way.
"High bandwidth" is really a question about the second model: how much data do you have to move before a flat-rate IP becomes cheaper than paying by the gigabyte? Below a certain volume, per-GB wins. Above it, unmetered wins, provided your target will accept a fixed IP. That last condition is where most people get the sums wrong.
Why some proxies are metered and others are not
The difference is not marketing. It follows from where the bandwidth comes from.
A datacenter proxy sits on a server connected to a flat-rate port. Our static datacenter IPs sit on 10 Gbps lines; the cost of that line is the same whether you push 1 GB or 1 TB through it in a month, so the price can be flat too. The same goes for static residential IPs, which are ISP-registered addresses routed to datacenter hardware: the trust comes from the address, the bandwidth comes from a port.
Residential and mobile bandwidth is different. Each gigabyte exits through a real household connection or a real phone on a carrier network, and every one of those gigabytes has a cost attached at the source. There is no such thing as unlimited residential bandwidth at a sustainable price. Providers that advertise it are either capping speed hard, sharing a tiny pool, or reselling something that is not residential. If a plan says "unlimited residential" and the price looks like a datacenter price, it is a datacenter price for a reason.
The break-even point: unlimited vs per-GB
Take our own prices as the worked example, because they are public and you can check them on the pricing page.
| Product | Model | Price | Rotation |
|---|---|---|---|
| Static Datacenter | Per IP | $3.55 per IP per 30 days, unlimited data | Never |
| Rotating Datacenter | Per GB | $1.00/GB | Per request, timed or sticky |
| Static Residential (ISP) | Per IP | $7.90 per IP per 30 days, unlimited data | Never |
| Budget Residential | Per GB | $1.75/GB | Rotating or sticky |
| Premium Residential | Per GB | $2.75/GB | Rotating or sticky |
| Rotating Mobile | Per GB | $3.50/GB | Rotating or sticky |
Divide the flat price by the per-GB price and you get the volume at which they cost the same.
- Static datacenter vs rotating datacenter: $3.55 divided by $1.00 is about 3.5 GB per IP per month. Push more than that through a single datacenter IP and the flat rate is cheaper.
- Static residential vs premium residential: $7.90 divided by $2.75 is about 2.9 GB per IP per month. Against budget residential at $1.75/GB the break-even is about 4.5 GB.
Those numbers are low, which is the point. If you move 200 GB a month of public data that does not care about IP reputation, ten static datacenter IPs cost $35.50. The same 200 GB on rotating datacenter is $200, and on budget residential it is $350. The flat-rate IPs are cheaper by an order of magnitude.
The catch is the word "single". The calculation assumes the target lets one IP fetch 20 GB a month without complaint. Public datasets, open APIs, your own infrastructure and most academic sources will. A retail site with bot protection will not; it will rate-limit or block the IP long before you reach the break-even, and at that point you are buying more IPs, not more gigabytes. Then the honest comparison is a stack of static IPs against per-GB with rotation included, and per-GB often wins back.
A rule of thumb that holds up: unmetered for targets that judge you by volume per IP, metered for targets that judge you by IP reputation.
What "unlimited" does and does not include
Unlimited bandwidth means we do not count your gigabytes. It does not mean the rest of the internet stops counting.
- Target rate limits still apply. An unlimited IP that gets a 429 after 600 requests an hour is, in practice, a 600-requests-an-hour IP. See our guide to HTTP 429 and Retry-After for handling that properly.
- Concurrency is separate from bandwidth. Some providers sell unlimited data but cap threads at 100 or 500. Our static datacenter proxies have no concurrency cap; check this line item anywhere else, because it is where "unlimited" plans quietly become limited.
- Speed is shared, not reserved. A 10 Gbps line is the capacity of the port, not a guarantee for your session. Real throughput depends on the target and the route.
- A burned IP is a burned IP. Unlimited data on an address that a target has blocked is worth nothing. This is the real reason high-volume scraping against protected sites stays on per-GB rotating pools even though the per-gigabyte price is higher.
Does the country change the price?
A lot of "high bandwidth proxy" searches carry a country with them: the UK, Germany, the US. On per-GB plans the rate is the same for every country in the pool; a gigabyte through a German residential IP costs the same as a gigabyte through a Canadian one. What changes with country is throughput, because your traffic makes a round trip to the exit location. If you are in Frankfurt scraping a German site, a German exit is both the right geolocation and the fastest route. If you are scraping a global API from Frankfurt, a datacenter IP in the same region as the API is faster than a residential IP anywhere.
Reduce the gigabytes before you buy more of them
Before moving from per-GB to unmetered, check whether you need the bandwidth at all. Most scrapers waste the majority of what they download.
- Block images, fonts, video and analytics. A product page is often 50 to 150 KB of HTML and 2 to 3 MB of everything else. Blocking media alone can cut usage by 90 percent.
- Prefer JSON endpoints to rendered pages. The API the site's own front end calls usually returns 5 to 50 KB where the page returns 100 KB or more.
- Send conditional requests. If-Modified-Since and ETag headers turn unchanged pages into a 304 with no body.
- Accept compression. gzip or brotli typically shrinks HTML by 70 to 80 percent. Most clients request it by default; some proxy configurations strip it.
We wrote these up in more depth in how to reduce proxy bandwidth costs. As a yardstick, 1 GB is roughly 10,000 text-only HTML pages, or a few hundred full page loads with assets, or somewhere between 20,000 and 200,000 JSON API calls depending on payload size.
Choosing by workload
| Workload | Best fit | Why |
|---|---|---|
| Public datasets, open APIs, your own services | Static datacenter (per IP) | No IP reputation checks, so volume per IP is the only constraint and unmetered wins outright. |
| Search results, price monitoring at scale, sites with light protection | Rotating datacenter (per GB) | Cheapest metered option; rotation absorbs per-IP rate limits. |
| Retail, travel, classifieds and anything behind bot protection | Budget or premium residential (per GB) | Reputation is the constraint, not volume. You pay per GB and get a fresh household IP whenever you need one. |
| Accounts you log into repeatedly | Static residential (per IP) | One trusted address that never changes, unlimited data on it, and the volume per account is small anyway. |
| Targets that block residential IPs | Rotating mobile (per GB) | Highest trust, highest cost per GB. Nobody sells this unmetered honestly. |
If you are not sure which side of the break-even you are on, start metered. A per-GB plan tells you your real consumption within a week, and that number is the only input the calculation actually needs. For the broader trade-offs between the two families, see datacenter vs residential proxies.
Frequently asked questions
Are unlimited bandwidth proxies really unlimited?
The provider does not meter your data, and on a properly run service there is no hidden cap or throttle after a threshold. What remains limited is everything outside the provider: the target's rate limits per IP, the shared capacity of the line, and the fact that a blocked IP carries no traffic at all. Read the concurrency line in any unlimited plan, because thread caps are where these plans usually hide their limit.
Which proxy types offer unlimited bandwidth?
Static datacenter and static residential (ISP) proxies, both priced per IP. Residential, mobile and rotating datacenter proxies are priced per gigabyte because their bandwidth has a real cost at the source. Any unlimited residential offer at a low price is worth treating with suspicion.
Are unlimited proxies cheaper than per-GB proxies?
Only above the break-even volume, which you get by dividing the flat monthly price by the per-GB rate. At our prices that is about 3.5 GB per IP per month for datacenter, and about 2.9 GB per IP per month for static residential against premium residential. Below those volumes, or wherever the target forces you to rotate, per-GB is cheaper.
Do residential proxies come with unlimited bandwidth?
Rotating residential proxies do not, from any provider that sources them legitimately. The nearest thing is a static residential proxy: an ISP-registered address on datacenter hardware, sold per IP with unlimited data. It gives you residential trust and unmetered bandwidth, but on a single address that never rotates.
How much bandwidth does web scraping use?
It depends almost entirely on what you download. Text-only HTML runs 50 to 150 KB per page, so 1 GB covers roughly 10,000 pages. A full page load with images, scripts and fonts is often 2 to 3 MB, which cuts that to a few hundred pages. JSON API responses are usually 5 to 50 KB. Block media and use API endpoints where they exist, and most projects need far less than they expected.