Bright Data vs Oxylabs vs Smartproxy for Scraping in 2026 (tested)

If you have priced proxies for scraping, you keep meeting the same three names: Bright Data, Oxylabs, and Smartproxy. The marketing makes them sound identical. Huge pools, high success rates, every country covered. From the outside they blur together, and the real differences only show up once you point them at a hard target and read the invoice.

I run proxy infrastructure and production scrapers, and I have paid all three of these bills on real jobs. This is a tested view, not a vendor pitch. None of these providers makes anything undetectable, none is risk free, and I am not going to call any of them a scam or a miracle. What actually separates them is boring and practical: the pricing model, the quality of the addresses, and what happens when a target breaks at the worst possible time.

Here is the short version before the detail.

What all three actually sell

Underneath the dashboards, each one is a large network of ip addresses you route requests through, with a growing layer of scraping products stacked on top. You rent access to the pool, your request leaves through one of their addresses instead of your server’s, and the target sees that address rather than yours. The browsers, parsers, and structured data apis are convenience built on that core. The pool is the product.

They all sell the same menu of pool types, and you match the pool to the target, not the brand. Datacenter addresses are cheap, fast, and fail first on strict sites. Residential addresses ride real home connections and carry ordinary trust, so they clear more hard targets. Mobile addresses ride carrier networks and carry the most trust, at the highest price. Static residential, sometimes called isp addresses, give you home connection trust with a fixed ip.

The pricing model is the first fork

The difference that decides your bill is how each pool is metered. Residential and mobile are almost always billed per gb, so you pay for bandwidth pulled, not requests made. Datacenter and static pools are more often billed per ip, a flat rent for addresses you hold. Per gb pricing punishes heavy pages, and per ip pricing rewards steady reuse. Before you compare success rates, know which meter you are standing on, because it moves your cost more than the logo does.

On a per gb plan, page weight is the silent budget killer. A modern page can pull megabytes of images, fonts, and scripts you never parse, and you pay for all of it. Strip the request down, block the assets you do not read, and skip the full browser when the raw html already holds your data. I have watched a per gb bill drop by half just from not downloading images the job never looked at.

Bright Data

Bright Data is the biggest of the three by almost every measure. The largest pool, the widest product set, and the deepest geotargeting, down to city and carrier in a lot of places. That reach comes with the most complex dashboard and the price at the top end. I reach for it when a job is genuinely hard and I need the widest pool and the finest control, and I am willing to spend time learning a heavy console to get it. Power, at the cost of simplicity.

Oxylabs

Oxylabs sits in the same enterprise weight class. A big pool, strong performance on difficult targets, and a serious set of structured data products that hand you parsed fields for popular sites instead of raw html. It leans toward larger customers and sales led onboarding, so the entry is less self serve and more talk to a human. In my testing it goes toe to toe with Bright Data on the hard targets, and the choice between them usually comes down to pricing for your volume and which account team you would rather work with.

Smartproxy

Smartproxy is built for the rest of us. The pool is smaller than the two giants, but it is more than enough for most jobs, and everything about it is simpler and cheaper to start. Self serve signup, a cleaner dashboard, lower entry pricing, and plans that suit a mid volume scrape rather than an enterprise contract. This is where I point people who are not running at massive scale and do not want to negotiate a deal to pull a few million pages. Less raw ceiling than the giants, far less friction to begin.

Hard targets, geotargeting, and support

On an easy static site all three succeed, and the cheapest datacenter pool is fine. The differences only appear on strict targets that scrutinize every connection, where residential and mobile pools pull ahead because the trust they arrive with is higher. Be careful with that: a better pool clears more hard requests, but success rates move, targets change, and yesterday’s clean pool can degrade. You test and measure, you do not assume.

Geotargeting is where the giants stretch their lead. Bright Data and Oxylabs let you pin a request to a country, a city, and often a specific carrier, which matters for localized pricing and content. Smartproxy covers country and city with less of the fine grained carrier control. If you only need country level views, you are overpaying for the deepest targeting.

Support is the feature you ignore until you need it. The two enterprise providers give larger accounts a real account manager who answers when a target breaks and your pipeline is down on a Monday morning. The self serve tier leans on docs and chat, which is fine until the day it is not. Living with a provider for a year is mostly calm until one bad week, and that week is where support earns its price.

How to choose

Run the test yourself before you commit budget. Send a few thousand requests against the exact site you care about, on each provider’s trial, and measure the true success rate, the latency, and the cost per successful record. That last number is the one that matters, not the advertised cost per request, because on a hard target failed attempts still burn bandwidth and the two numbers drift far apart.

For most ordinary jobs these three are basically interchangeable, and you should pick the cheapest one that clears your target and move on. The differences matter at the edges: the genuinely hard targets, very high volumes, carrier level geotargeting, or the moment you need a human. Bright Data is for the operator who needs the widest pool and deepest control and will pay for it. Oxylabs is for a similar enterprise buyer who wants strong performance, structured data, and real support. Smartproxy is for the mid volume scraper who wants a clean dashboard and honest entry pricing without a contract.

One more thing worth knowing: all three now gate their residential and mobile pools behind identity and use case review. Treat that as a good sign, not a hassle. A provider that checks its customers is trying to keep its pool clean, and it keeps you on the honest path: public data, allowed targets, nothing personal or behind a login.

The honest limits

No provider changes the rules. Buying a bigger pool does not make anything undetectable, and it does not make it legal to collect data that was never yours to collect. Public data, a robots file respected, an official api or bulk feed preferred where one exists, a polite rate held. A proxy network absorbs the infrastructure work, not the responsibility for what you scrape. That stays with you no matter whose addresses the request rides on.

I run this stack in production, my own mobile proxies alongside these services on real jobs, so the reviews and the pricing math I keep are the ones I actually use. If you want the full versions, tested on real targets with no undetectable promises and no guaranteed results, read them at dataresearchtools.com.

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