Best proxies for scraping enterprise targets in 2026
I’ve spent the last few years running scraping infrastructure for lead gen, price monitoring, and ad verification projects, mostly against targets that actively fight back: LinkedIn, Amazon, big retail chains, SaaS pricing pages behind Cloudflare, and a handful of enterprise portals that block anything that smells like a bot within seconds. This list is for teams in that same spot, not the person scraping a personal blog once a week. If you need to pull data at volume, from protected domains, without your whole operation getting IP banned by lunch, the calculus is different from picking a $2/GB residential plan off a comparison site.
I’m writing this from Singapore, running a small proxy and content operation, and I’ve either used or vetted every vendor on this list for a live project in the last twelve months. Some I still pay for. Some I dropped. I’ll say which is which.
This isn’t a sponsored roundup dressed up as objective. A few of these links are affiliate links, disclosed at the bottom, but the ranking reflects what actually held up under real scraping load against real enterprise targets, not what pays the best commission.
how I picked
- network scale and IP diversity: residential, ISP, and datacenter mix, because enterprise targets rotate their blocking logic and you need more than one IP type to answer with
- uptime and account stability under load: how often sessions dropped or IPs got flagged during sustained scraping, not just a single test request
- compliance posture: whether the vendor documents opt-in IP sourcing, has a real compliance/legal page, and can survive a GDPR or CCPA data request from an end user
- enterprise support quality: dedicated account manager, SLA terms, and how fast a ticket gets answered when a whole scrape run is failing at 2am
- pricing transparency: whether you can actually see per-GB or per-IP costs without booking a sales call, and how steep the volume discount curve is
- API and session control: sticky sessions, concurrency limits, geo-targeting granularity, and whether the docs are good enough that your engineers aren’t reverse-engineering behavior
the picks
Bright Data
Bright Data is still the default answer when someone asks “what proxy provider should we use for enterprise scraping” and for most large-scale operations it’s the right one. The residential network is the largest I’ve tested against, and their Web Unlocker and Scraping Browser products exist specifically for the case where a target site (think LinkedIn or a big retailer) is running serious bot detection. I’ve run six-figure-request campaigns against retail pricing pages through their residential pool with a success rate I couldn’t match on any other vendor here.
The tradeoff is complexity. Pricing tiers, add-on products, and the dashboard itself take a few days to get comfortable with, and support responsiveness on lower-tier plans is noticeably worse than on their enterprise contracts. If you’re a two-person team scraping casually, this is overkill. If you’re running enterprise-scale jobs against hardened targets, it’s the safest bet on this list.
pros: - largest residential IP pool of any vendor I tested, with strong success rates against bot-detection-heavy targets - Web Unlocker and Scraping Browser handle JS rendering and fingerprinting so you don’t build that layer yourself - most mature compliance documentation of any provider here, useful if legal ever asks questions
cons: - pricing and product lineup are genuinely complex to navigate at first - support quality drops noticeably below the enterprise tier
pricing: residential pay-as-you-go starts around $8.40/GB, with volume and enterprise contracts negotiated separately. brightdata.com · my full writeup: /reviews/bright-data-review
Oxylabs
Oxylabs is the other name enterprise buyers usually shortlist alongside Bright Data, and for good reason: their enterprise SLA is real, not marketing copy, and I’ve had a dedicated account manager respond to a session-drop issue within an hour on a weekend. Their datacenter and ISP proxy pools performed well against SaaS pricing pages and B2B directories, the kind of mid-hardened targets that aren’t LinkedIn-level but aren’t trivial either.
Where Oxylabs loses points is accessibility. The minimum monthly commitments on their better plans push out smaller teams, and the self-serve dashboard is functional but less polished than Bright Data’s. If you’re already talking to their sales team for an enterprise deal, none of that matters much.
pros: - enterprise SLA and account management that actually delivers under pressure - strong success rate on B2B and SaaS targets specifically - documentation is thorough enough that engineers rarely need to open a support ticket
cons: - minimum spend requirements shut out smaller or exploratory projects - self-serve dashboard feels a step behind competitors
pricing: residential from roughly $8/GB, datacenter from around $1.20/GB, enterprise minimums commonly starting near $500/month. oxylabs.io · my full writeup: /reviews/oxylabs-review
NetNut
NetNut’s pitch is that they source IPs directly from ISPs rather than through peer-to-peer residential networks, and in practice that shows up as lower latency and fewer mid-session drops. For time-sensitive scraping, price monitoring jobs that need to hit the same set of pages every fifteen minutes, this mattered more than raw pool size. I moved a real-time inventory tracking job to NetNut specifically because session stability was better than what I was getting elsewhere.
The catch is coverage. Their total IP pool is smaller than Bright Data’s or Oxylabs’, and outside major US and European markets the geo options thin out fast. If your enterprise target is US or EU based, that’s rarely a problem. If you need deep coverage in smaller Asian or Latin American markets, check their location list before committing.
pros: - direct ISP sourcing gives noticeably lower latency and fewer dropped sessions - strong fit for real-time or high-frequency scraping jobs - decent enterprise support for a smaller vendor
cons: - smaller overall IP pool than the two providers above - geo coverage outside major markets is thinner
pricing: plans start around $20/GB, or monthly bandwidth packages from roughly $300/month. netnut.io · my full writeup: /reviews/netnut-review
Decodo (formerly Smartproxy)
Decodo, the rebrand of Smartproxy, is where I point teams that need enterprise-grade reliability but don’t have an enterprise budget yet. The residential pool (they claim over 115 million IPs) held up fine on mid-difficulty targets like retail category pages and job boards, and the self-serve dashboard is the easiest to onboard a new engineer onto out of everything on this list.
It’s not built for the hardest targets. I wouldn’t route a LinkedIn scrape through it without expecting a higher block rate than Bright Data or Oxylabs, and their support, while responsive, doesn’t have the same enterprise account management muscle. Good mid-market pick, not quite top-tier enterprise.
pros: - cheapest entry point among the higher-quality residential providers - dashboard and API are the easiest to onboard new engineers onto - decent success rate on moderately protected targets
cons: - higher block rates than Bright Data/Oxylabs on the hardest enterprise targets - fewer specialized scraping products (no dedicated unlocker-style API at this writing)
pricing: residential plans start around $7/GB. decodo.com
Soax
Soax’s strength is targeting granularity. You can get down to city or even individual ISP level in a lot of markets, which matters if your enterprise target serves different content or pricing by region and you need to verify that from specific locations rather than just “somewhere in the US.” Their chat support has been faster to respond than most vendors here when I’ve had a targeting question at odd hours.
What Soax lacks is a long enterprise track record. I couldn’t find the same depth of large-scale case studies that Bright Data and Oxylabs publish, and I’d treat this as a strong mid-market pick rather than a first choice for a Fortune 500-scale scraping operation.
pros: - most granular geo-targeting of any vendor on this list - flexible mix of pay-as-you-go and subscription billing - responsive support for a mid-sized provider
cons: - less proven at true enterprise scale compared to Bright Data or Oxylabs
pricing: from around $9/GB, with custom enterprise plans available on request. soax.com
Rayobyte
Rayobyte owns its own IP blocks rather than purely reselling access, which they lean on as a compliance and reliability argument, and it’s held up in practice: datacenter IPs I’ve used from them didn’t get flagged as quickly as some cheaper resold pools. For lower-sensitivity enterprise scraping, internal dashboards, publicly available pricing pages, non-adversarial APIs, their datacenter tier is a good value option.
Don’t route your hardest targets through Rayobyte’s datacenter pool. Banks, LinkedIn, Google properties, and similar hardened enterprise targets will burn through datacenter IPs fast regardless of vendor, and Rayobyte’s residential pool, while usable, is smaller than the dedicated residential specialists above.
pros: - owns its IP infrastructure rather than just reselling, which shows up as better transparency - datacenter pricing is genuinely cheap for lower-sensitivity targets - straightforward self-serve billing and dashboard
cons: - datacenter IPs get blocked quickly on hardened enterprise targets - residential pool is smaller than dedicated residential-first vendors
pricing: datacenter from around $1.50/GB, residential from around $7/GB. rayobyte.com
Webshare
Webshare is the budget pick, and I’m including it because plenty of teams start enterprise scraping projects on a proof-of-concept budget before they get sign-off for a bigger vendor. The free tier is genuinely usable for testing a scraper’s logic before you spend anything, and the API is clean enough that integration takes an afternoon, not a week.
It is not an enterprise-scale product. Support is self-serve first, the residential add-on pool is small next to NetNut or Decodo, and I would not run a production enterprise scraping job on Webshare alone. Use it to prove the scraper works, then move to a bigger vendor once the project has real budget.
pros: - cheapest way to prototype a scraper before committing budget - clean, well-documented API - generous free tier for testing
cons: - not built for enterprise-scale, sustained scraping - support and residential pool size lag well behind the rest of this list
pricing: datacenter plans start around $2.99/month for small pools, residential sold as a separate add-on. webshare.io
comparison table
| provider | starting price | primary strength | primary weakness |
|---|---|---|---|
| Bright Data | ~$8.40/GB residential | largest pool + unlocker tooling for hard targets | complex pricing, slower support below enterprise tier |
| Oxylabs | ~$8/GB residential | enterprise SLA and account management | high minimum spend |
| NetNut | ~$20/GB or ~$300/mo | ISP-direct sourcing, low latency | smaller pool, thin coverage outside major markets |
| Decodo | ~$7/GB residential | easiest onboarding, good value | weaker on the hardest targets |
| Soax | ~$9/GB | granular city/ISP targeting | limited enterprise track record |
| Rayobyte | ~$1.50/GB datacenter | owns its IP infrastructure, transparent | datacenter IPs blocked fast on hard targets |
| Webshare | ~$2.99/mo | cheapest way to prototype | not enterprise-scale |
how to choose
Start with the target, not the vendor. A scrape against a moderately protected retail site behaves nothing like a scrape against LinkedIn or a bank’s public-facing portal, and the amount of bot detection you’re up against should decide whether you need Bright Data-tier residential IPs or whether Rayobyte’s cheaper datacenter pool gets the job done for a fraction of the cost. I’ve wasted money buying premium residential proxies for targets that would’ve been fine on datacenter IPs, and I’ve also watched a datacenter-only setup get burned through in an afternoon against a target that needed real residential rotation.
Session and protocol behavior matters more than most buyers expect going in. Most of these vendors support standard SOCKS5 alongside HTTP(S) proxying, and sticky session length, concurrency caps, and how gracefully a provider handles IP rotation mid-session all affect whether your scraper looks human or looks like a bot mid-run. Read the API docs before you buy, not after, because this is where cheaper vendors usually cut corners. Bright Data’s own developer documentation is a decent reference point for what a mature session-control API should expose even if you end up buying elsewhere.
Compliance is not optional at enterprise scale, and it’s worth treating separately from legal advice, since I’m not a lawyer and this isn’t legal advice. Know that most enterprise targets set scraping expectations through robots.txt and terms of service, and that unauthorized access questions in the US get evaluated against frameworks like the Computer Fraud and Abuse Act. Pick a proxy vendor with a real compliance page and documented IP sourcing consent, because if your enterprise target or their counsel ever asks how your traffic was routed, “we don’t know where the vendor got these IPs” is a bad answer to have on file.
If your scraping project also touches account creation, login-gated data, or anything requiring separate browser identities per proxy, that’s a fingerprinting and session-isolation problem on top of the proxy problem. That’s outside the scope of a pure proxy roundup, but if you’re building that layer, antidetectreview.org/blog/ covers the browser fingerprinting side, and if you’re managing many accounts against the same enterprise target, multiaccountops.com/blog/ is worth a read on how to keep sessions from colliding with each other.
verdict / top pick
For most teams scraping genuinely enterprise-hardened targets at real volume, Bright Data is still the top pick. The combination of residential pool size, the Web Unlocker product, and the most mature compliance documentation on this list makes it the safest default when the target is actively fighting back and the cost of a failed scrape run is higher than the cost of the proxy bill. If enterprise minimums or Bright Data’s pricing complexity are a blocker, Oxylabs is the closest equivalent with a real SLA behind it, and NetNut is worth a look specifically if your job is latency-sensitive and time-critical rather than raw volume. For proof-of-concept work before you’ve got budget signed off, start on Webshare and graduate once the scraper is proven.
None of these are set-and-forget. Enterprise targets change their bot detection more often than proxy vendors update their marketing pages, so whichever you pick, budget time to re-test success rates quarterly rather than assuming day-one performance holds. For more on how I evaluate proxy and scraping infrastructure generally, the full archive is at proxyscraping.org/blog/.
Written by Xavier Fok
disclosure: this article may contain affiliate links. if you buy through them we may earn a commission at no extra cost to you. verdicts are independent of payouts. last reviewed by Xavier Fok on 2026-07-12.