Mobile Proxies
Best Mobile Proxies for AI Data Collection & Automation in 2026
A hands-on guide to mobile proxies built for AI workloads — training data pipelines, autonomous agents, SERP monitoring, and high-volume scraping for legitimate public or permissioned data collection on sites with strict bot-management controls.
The rankings at a glance
7 providers comparedThis guide compares Proxidize, Oxylabs, DataImpulse, Decodo/Smartproxy, SOAX, IPRoyal, and NetNut for AI data collection and automation in 2026.
Best mobile proxies for AI scraping in 2026
If you're building AI systems that pull legitimate public or permissioned data from the open web — training sets for language models, real-time feeds for RAG pipelines, SERP results for search monitoring, or autonomous agents that browse through strict bot-management controls — the proxy layer is part of the job.
If you've been using datacenter or residential proxies for these workloads, you've probably noticed challenge rates rising. Systems from Cloudflare, Akamai, and DataDome now layer IP reputation, TLS fingerprinting, and behavioral analysis into a single decision. Datacenter IPs tend to draw the most suspicion. Residential IPs still work well for many targets, but increasingly need cleaner request patterns and better session handling.
The reason mobile can help is structural. Mobile carriers use CGNAT (Carrier-Grade NAT), so hundreds or thousands of real subscribers share each public IP address. A website blocking a mobile IP risks affecting legitimate traffic from an entire carrier segment, so mobile IPs may see lower challenge rates when the use case is compliant and the request behavior is reasonable.
That makes mobile proxies a strong option for AI workloads that need reliable access to public or permissioned data on sites with strict traffic controls. The trade-off is cost. Mobile bandwidth tends to fall in an estimated $2–15/GB range, compared to roughly $1–5/GB for residential. At AI-scale volumes — hundreds of gigabytes to terabytes — the per-GB rate becomes the single biggest factor in your infrastructure bill.
This guide ranks mobile proxy providers through that lens: which ones give you reliable mobile carrier IPs at a price that fits a data collection budget.
Compliance note: This covers legitimate public or permissioned data collection, QA, monitoring, and research workflows. Mobile proxies should not be used for credential attacks, spam, evading account bans, collecting private data, or violating site terms, privacy law, or platform rules.
Best mobile proxies for autonomous AI agents
For agents that run extended or multi-step sessions, the billing model and session controls matter as much as raw pool size. IPRoyal's per-day unlimited plan removes per-GB metering entirely, which suits autonomous browsing or continuous monitoring without accumulating usage surprises. Proxidize offers a per-proxy plan at $59/month for a dedicated mobile identity on real carrier hardware — useful when consistent exit behavior across pages matters more than rotation. DataImpulse and SOAX support longer sticky sessions (up to 120 minutes and 60 minutes on mobile) for workflows that need to hold state. The use-case table later maps these options to specific agent patterns.
Proxidize vs Oxylabs vs DataImpulse vs Decodo vs SOAX
Proxidize is my value pick when the workload is US-focused and bandwidth-heavy. Oxylabs is stronger for global coverage and enterprise controls. DataImpulse is stronger when non-expiring traffic matters. Decodo is stronger when the API bundle matters more than raw proxy bandwidth. SOAX is stronger when one account needs to cover mobile, residential, ISP, and datacenter strategies.
For a side-by-side at roughly 100GB mid-volume workloads, see the companion guide Best Mobile Proxy Providers in 2026. This article focuses on the demands and economics of high-volume AI data collection.
For US-only, high-volume AI data collection, Proxidize is the clearest cost winner at $2/GB with real carrier IPs and no contracts.
How I Evaluated
The factors below follow the site's approach: verifying plans and pricing directly from providers (live rechecks in June 2026), assessing real carrier-sourced infrastructure, and focusing on characteristics that matter for production AI workloads rather than headline specs alone.
- Cost at volume. AI workloads are bandwidth-hungry. A provider that looks affordable at 10GB can become ruinous at 500GB. I normalized everything to $/GB using published rates and checked how pricing scales at realistic pipeline sizes.
- Pool quality and reliability. Emphasis on real carrier IPs from documented sourcing, not virtualized or recycled. IPs that frequently trigger challenges or classify poorly erase any pricing advantage.
- Integration. Protocol support (HTTP, SOCKS5, UDP), auth options, and rotation/sticky controls matter when proxies are called from automated pipelines and agents.
- Targeting and sessions. Granularity (country, city, carrier, ASN) and sticky durations matter when agents need stable identity across multiple pages or geo-specific collection.
I did not test every mobile proxy provider on the market. The comparison covers those with verifiable infrastructure and current pricing that could be confirmed for production consideration.
When not to use mobile proxies
Mobile proxies are not the default answer for every AI data collection job. If you're collecting general public web data from static pages, APIs, documentation sites, RSS feeds, public datasets, or sources that do not apply strict traffic controls, then residential, ISP, datacenter proxies, or a managed scraping API are often cheaper and simpler.
Start with mobile only when the target genuinely behaves differently for mobile carrier traffic, when geo/mobile realism matters, or when long-running agent sessions need a stable mobile identity. Otherwise, use the least expensive compliant route that returns reliable data.
Quick Comparison
| Provider | Price/GB | Mobile IPs | Coverage | Protocols | Best For |
|---|---|---|---|---|---|
| Proxidize | $2/GB | 50+ US locations | US | HTTP(S), SOCKS5, UDP | US-only high-volume AI collection |
| Oxylabs | $7.50/GB | 20M+ | 140+ countries | HTTP(S), SOCKS5 | Global enterprise AI scraping |
| DataImpulse | $2/GB | 16M | 195 countries | HTTP(S), SOCKS5 | Budget scraping with no expiry |
| Decodo | $8/GB | 10M+ | 160+ locations | HTTP(S), SOCKS5 | Full-stack with scraping APIs |
| SOAX | $3.60/GB | 33M+ | 195 countries | HTTP(S), SOCKS5, HTTP/3 | Unified multi-type proxy billing |
| IPRoyal | $10.11/day | 4.5M+ | 195 countries | HTTP(S), SOCKS5 | Unlimited-bandwidth agent sessions |
| NetNut | $7.60/GB | 5M | 100+ countries | HTTP(S), SOCKS5 | Low-latency ISP-direct collection |
Pricing at AI scale (June 2026 checks)
Examples calculated from the published per-GB rates above (US-focused where noted):
| Example volume | Proxidize | Notes on selected alternatives |
|---|---|---|
| 500 GB (US-focused) | ~$1,000 | Oxylabs ~$2,700; NetNut ~$1,900 |
| 1 TB | ~$2,000 (lower on custom) | DataImpulse ~$1,600 at tier (non-expiring); Oxylabs $5,000 (mid-tier) |
Proxidize
Best for: US-only, high-volume AI data collection at the lowest per-GB cost Pricing: $2/GB (per-GB plan) · $59/month (per-proxy plan) · Custom from $0.50/GB above 1TB Source: Proxidize mobile proxy pricing — verified June 2026
Proxidize is the cost pick when the job is US-only and bandwidth-heavy.
At $2/GB with no contracts, a 500GB US-focused AI crawl job costs $1,000. The same workload through Oxylabs runs $2,700, and through NetNut roughly $1,900. When a training pipeline needs hundreds of gigabytes per month and does not require non-US mobile exits, that gap compounds quickly.
The proxies run on real 5G/4G LTE carrier hardware across 50+ US locations — not virtualized, not recycled. Rotation is configurable: per-request for broad scraping, sticky sessions for agent workflows that need to hold an identity. Both HTTP(S) and SOCKS5 are supported, plus UDP over SOCKS for protocols that need it.
The per-proxy model ($59/month, unlimited bandwidth) is worth noting for AI agent use cases. If your autonomous agent needs a stable mobile identity for extended browsing, a dedicated SIM-based exit is cleaner than rotating pool access.
The trade-off is coverage: Proxidize is US-only on mobile. If your AI pipeline needs European, Asian, or multi-country mobile exits, Oxylabs and DataImpulse are stronger fits. If you need built-in scraping APIs, Decodo is stronger. If you need one plan across mobile, residential, ISP, and datacenter, SOAX is stronger. For US-focused collection at high volume, Proxidize's pricing is hard to match.
Oxylabs
Best for: Enterprise AI teams needing global coverage and precision targeting Pricing: $7.50/GB (4GB Starter) · $5/GB (100GB Advanced) · $3.50/GB (715GB Corporate) Source: Oxylabs mobile proxy pricing — verified June 2026
Oxylabs is the option for global work at scale.
If your AI data collection spans multiple geographies — multilingual training sets, global price monitoring, cross-market SERP analysis — the coordinate-level targeting and 140+ country coverage support it. The Web Scraper API handles structured extraction for product, SERP, or social content. A 7-day free trial gives room to test.
The cost is the barrier. At $5/GB on the 100GB Advanced plan, a 1TB crawl costs $5,000 — about 2.5× what Proxidize or DataImpulse would charge. The 715GB Corporate plan brings it to $3.50/GB, but that's a $2,500/month commitment. Entry pricing is steeper still at $7.50/GB on the 4GB plan, and unused bandwidth expires monthly.
For well-funded AI teams that need global mobile IPs with coordinate-level precision and don't mind the premium, Oxylabs is the most capable option in the market. For cost-conscious teams focused on US data, it's hard to justify over the $2/GB alternatives.
DataImpulse
Best for: AI teams that need flexible, non-expiring bandwidth Pricing: $2/GB (entry) · $1.60/GB (1TB) · No monthly fees Source: DataImpulse mobile proxies — verified June 2026
DataImpulse's main advantage for AI workloads is that traffic does not expire.
Buy a terabyte at $1.60/GB and use it over months as needs dictate. There's no monthly commitment or expiration pressure, which is valuable for research teams and intermittent collection. Sticky sessions hold up to 120 minutes, and the low minimum makes testing easy.
The downsides are real: the dashboard is functional but not elegant, documentation is thinner than competitors, and support can lag. If you're building a production pipeline that needs responsive technical support, that matters. If you're a technical team that reads API docs and debugs independently, the pricing makes it an easy pick alongside Proxidize.
Decodo (Smartproxy)
Best for: AI teams that want proxies and scraping tools in one platform Pricing: $8/GB list · ~$2.75/GB at 100GB · 14-day money-back Source: Decodo mobile proxies — verified June 2026
Decodo is a scraping platform, not just a proxy provider.
The pitch for AI teams is the bundled APIs: SERP scraping, eCommerce, Social Media collection, plus a Site Unblocker that handles CAPTCHAs and retries. If your pipeline needs structured data from search engines, listings, or social, these can save building custom scrapers.
Pay-as-you-go lists at $8/GB and drops to about $2.75/GB at 100GB volume — still above the $2/GB options. At the list rate, the premium only makes sense if you use the APIs. The pool is strong in key markets (heavy US, plus DE/UK/IN) with 3G/4G/5G available.
SOAX
Best for: AI teams running mixed proxy strategies from one account Pricing: $3.60/GB (25GB) · $2/GB (800GB) · trial: $1.99 for 400MB Source: SOAX pricing — verified June 2026
SOAX's defining feature is the unified subscription: your data allowance works across residential, mobile, ISP, and datacenter proxies. For AI teams that use mobile IPs for stricter targets, residential for general public web data, and datacenter for high-speed bulk downloads, one account covers all of it.
HTTP/3 (QUIC) support on mobile is a technical edge for modern sites and CDNs. Sticky sessions hold up to 60 minutes on mobile (useful for agents; longer on other proxy types).
At $3.60/GB the starter tier is mid-market and drops to $2/GB at 800GB, but the plan tiers rarely map cleanly to AI volumes, so you often over-buy.
IPRoyal
Best for: AI agents that need sustained sessions without bandwidth metering Pricing: $10.11/day per proxy (unlimited bandwidth) · rotating per-GB from $5.20/GB Source: IPRoyal mobile proxy pricing — verified June 2026
IPRoyal uses a different pricing model: instead of paying per GB, you pay per day ($10.11) or per month (~$117) for a dedicated mobile proxy with unlimited data transfer.
For AI agent workloads — autonomous browsing, multi-hour research sessions, continuous monitoring — this removes per-GB cost pressure entirely. The agent can browse freely without accumulating bandwidth charges. The 4.5M+ pool runs on real carrier devices (not virtualized), with 5G, 4G, and 3G connections and auto-rotation every three minutes.
The math works when per-proxy data consumption is high. At $117/month per proxy, you'd need to transfer more than ~58GB through each proxy (vs. Proxidize's $2/GB) to break even. For high-throughput agent sessions, that's easy to clear. IPRoyal also offers a rotating per-GB mobile plan ($5.20–$6.80/GB), but at those rates the dedicated unlimited model is the stronger draw.
NetNut
Best for: Latency-sensitive AI pipelines Pricing: $7.60/GB (13GB entry) · down to $3.82/GB at 1TB billed annually · volume pricing via sales Source: NetNut mobile proxies — verified June 2026
NetNut's ISP-direct sourcing (via DiviNetworks) gives datacenter-grade speed with carrier-grade trust — useful for latency-sensitive collection like real-time monitoring or live SERP.
The trade-off: 5M mobile IPs is the smallest pool here, and pricing is steep at entry ($7.60/GB), only reaching better rates on large annual commitments. Mobile is secondary to their residential/ISP strength.
Which Use Case, Which Provider
| AI Workload | Top Pick | Why |
|---|---|---|
| LLM training data | Proxidize or DataImpulse | Highest bandwidth consumption — Proxidize for US-only volume, DataImpulse for global/non-expiring traffic |
| RAG pipeline feeds | Proxidize | Steady US-based collection, sticky sessions for multi-page crawls |
| Autonomous AI agents | IPRoyal or Proxidize (per-proxy) | Unlimited bandwidth (IPRoyal) or stable SIM identity (Proxidize) for long sessions |
| Global multi-language collection | Oxylabs | 140+ countries with coordinate-level targeting |
| SERP monitoring | Decodo | Bundled SERP API handles Google/Bing extraction natively |
| Mixed proxy strategy | SOAX | One subscription across mobile, residential, ISP, and datacenter |
TL;DR
If you're running US-only AI workloads that need mobile proxy bandwidth at scale, Proxidize is my best-value pick at $2/GB — real US carrier IPs, clean infrastructure, and a low per-GB rate that drops on larger custom plans. DataImpulse matches the $2/GB entry and adds non-expiring traffic, which suits unpredictable AI project timelines and global coverage. Oxylabs is the right call if you need global enterprise coverage and can absorb the premium. Decodo earns its spot when you want proxies and scraping APIs in one stack. SOAX is stronger when mixed proxy workflows matter more than the lowest mobile-only rate.
For AI data collection specifically, the per-GB rate is the number that matters most. At the volumes AI pipelines consume, the difference between $2/GB and $5/GB adds up to thousands of dollars per month.
Frequently asked questions
- Why use mobile proxies instead of residential for AI data collection?
- Mobile proxies route through real carrier networks that use CGNAT — one public IP shared by hundreds of real subscribers. In legitimate public or permissioned data collection, this can reduce challenge rates because blocking a mobile IP may also affect real users sharing that address. Industry estimates often put mobile reputation ranges around 85–99%, compared to roughly 50–70% for residential and 10–30% for datacenter, but those ranges are directional, not universal. Actual results depend on the target, request pattern, and compliance posture.
- How much bandwidth does a typical AI training data pipeline need?
- It depends entirely on your corpus. A focused vertical dataset (legal filings, product listings, news articles) might need roughly 50–200GB of raw crawl traffic per month. A broad-coverage LLM training pipeline collecting public data across thousands of domains can range into the 1–5TB/month zone, but that is an estimate, not a fixed benchmark. At $2/GB (Proxidize or DataImpulse), 1TB costs roughly $1,600–$2,000 — materially less than premium providers in the $5–9/GB range.
- Are mobile proxies better than scraping APIs for AI data collection?
- They solve different problems. Scraping APIs (like those from Decodo or Oxylabs) handle access reliability, CAPTCHA handling, retries, and HTML parsing in one managed service — simpler, but more expensive per request and less flexible. Raw mobile proxies give you full control over your collection logic, request headers, and browser fingerprinting, which matters when you're building custom AI pipelines or need to handle formats the APIs don't support.
- Can I use mobile proxies for AI agent browsing?
- Yes — and it's one of the fastest-growing use cases. Autonomous AI agents that browse the web for legitimate research, monitoring, or permissioned workflows need stable sessions and fewer unnecessary challenges. Mobile carrier IPs may reduce friction compared with datacenter IPs, especially when paired with clean request behavior. For agents that maintain sessions, look for providers with sticky session support (Proxidize, SOAX, and DataImpulse all offer this).
- What's the cheapest way to get mobile proxies for high-volume AI scraping?
- Proxidize and DataImpulse both start at $2/GB, which is among the lowest public per-GB mobile pricing I found. DataImpulse drops to $1.60/GB at 1TB with non-expiring traffic. Proxidize lists custom pricing starting at $0.50/GB above 1TB. For US-only pure volume, Proxidize is the sharper fit; for global budget traffic, DataImpulse is the stronger comparison.