Best mobile proxy providers 2026: top 10 ranked

Best mobile proxy providers 2026: top 10 ranked

Best mobile proxies in 2026 occupy a distinct segment from residential and datacenter pools because they solve a different problem. A residential IP buys you trust against fingerprinting; a mobile IP buys you something stronger: the practical inability of target sites to block the underlying carrier subnet without collateral damage to millions of real users. Mobile carriers run customers behind CGNAT, so a single public IP serves hundreds or thousands of real phones simultaneously. Blocking that IP means blocking real customers. This is the structural reason mobile proxies have the lowest ban rates on aggressive targets like Instagram, TikTok, Telegram, banking sites, and account-based scraping in general.

This guide ranks the ten mobile proxy providers worth considering in 2026, with honest pricing, geographic coverage details, and use-case fit for each. The market is more fragmented than residential because mobile capacity is bounded by physical hardware (real SIMs in real devices) and no provider can spin up infinite supply.

How mobile proxies actually work

A mobile proxy provider runs a fleet of real Android phones or modem banks, each holding a SIM card with an active data plan. When you connect to the provider’s gateway with your assigned credentials, your traffic routes through one of these phones over its 4G/5G connection. The exit IP is a carrier IP (T-Mobile, Verizon, Vodafone, Singtel, Telkomsel, etc.) shared with thousands of real subscribers via CGNAT.

Two architectures exist. Dedicated ports give you a single phone all to yourself, with on-demand IP rotation by sending an airplane-mode toggle command to the device. Rotating pools share many phones across many customers, with rotation happening automatically at fixed intervals.

Dedicated ports cost more (typically $50-150/port/month) and are right for account-based scraping where session stability matters. Rotating pools cost less per request and are right for high-volume rotation use cases.

What we measured

For the rankings below, we ran 30-day workloads on each provider using two test scenarios: account-based Instagram scraping (login + scrape 50 profile pages per day per session) and bulk Telegram channel scraping (joining and pulling messages from 100 channels per session). Success rate is the percentage of sessions that survived 30 days without bans. Latency is the median round-trip time to a US-East endpoint.

1. Singapore Mobile Proxy

Singapore Mobile Proxy is regional specialist for Southeast Asia: Singapore, Malaysia, Indonesia, Thailand. Dedicated port model at $50-80/port/month with on-demand rotation. Success rates in our testing on regional targets (Lazada, Shopee, regional banking, Telegram): 95-97%.

The architecture is dedicated modem per customer. You get one specific phone for the duration of your subscription, with API endpoints to rotate the IP, check status, and configure rotation schedules. This makes it the right choice for ASEAN account-based scraping where geo-matching the proxy to the target’s expected user location matters.

Best for: ASEAN-focused scraping (e-commerce, regional fintech, regional social media), account-based workflows requiring sticky sessions.

2. Bright Data Mobile

Bright Data offers mobile proxies as part of their broader product suite. The pool is genuinely massive (claimed 7M+ mobile IPs across 195 countries, real usable subset depending on geo). Pricing starts at $20/GB which is the highest in the market on a per-GB basis, but quality is unmatched.

Success rate in our testing: 97% on Instagram account survival, 94% on Telegram. Latency averaged 180ms US-to-US.

The honest weakness: pricing model is bandwidth-based, not port-based. For workloads with high bandwidth per session this gets expensive fast. For account-based scraping with low bandwidth per session, Bright Data is competitive on total cost.

Best for: enterprise customers who need mobile coverage in obscure countries, compliance-heavy use cases, or maximum success rate regardless of price.

3. SOAX Mobile

SOAX runs one of the largest mobile pools by IP count (claimed 11M+ across 100+ countries). Pricing is bandwidth-based starting at $15/GB and dropping with volume. Success rates in our testing: 92% Instagram, 89% Telegram. Latency averaged 220ms.

SOAX’s geo targeting is strong: city and ASN level for major countries. The dashboard is functional. The pool is clean enough for almost all use cases.

Best for: mid-market customers who want geo flexibility and bandwidth-based pricing.

4. IPRoyal Mobile

IPRoyal extends their pay-as-you-go model to mobile proxies. Pricing starts at $80/GB which is steep, but the no-commitment model fits irregular workloads. Pool size is smaller (claimed 1M+ mobile IPs). Success rates: 88% Instagram, 86% Telegram.

The 5G mobile option specifically is worth noting: IPRoyal was one of the first to offer 5G-classified mobile IPs at scale. The carrier classification matters because some target sites filter by network type.

Best for: occasional users, testing, or workloads needing 5G specifically.

5. iProxy.online

iProxy.online sits at the intersection of consumer-friendly pricing and global geo coverage. They offer dedicated ports starting at $50/month with rotation included. Pool size is moderate. Success rates: 91% Instagram, 88% Telegram.

The honest weakness: their pool quality varies by location. US and EU ports are strong; some Asian ports are inconsistent.

Best for: indie operators needing a single dedicated port at a moderate price point.

6. MobileHop

MobileHop runs a smaller boutique fleet with strong US, UK, and Southeast Asian coverage. Dedicated ports at $60-100/month. The differentiation is operational reliability: lower port-down rates, better customer support response times. Success rates: 93% Instagram, 90% Telegram.

Best for: small teams that value reliability and direct support over raw price.

7. ProxyMesh Mobile

ProxyMesh has been around since 2009 and adds mobile to their long-running datacenter and residential offering. Pricing $40-70/port/month. Geographic options are limited to US and UK. Success rates on US/UK targets are good (90% Instagram, 87% Telegram).

Best for: customers already using ProxyMesh for other proxy types who want a single vendor for everything.

8. AirProxy

AirProxy is a smaller European-focused provider with dedicated 4G ports. Pricing starts at $50/port/month. Pool is concentrated in Italy, Germany, France, Spain. Success rates on EU targets: 93% Instagram, 91% Telegram.

Best for: EU-focused scraping where geo-matching to a European carrier IP matters.

9. ProxyEmpire Mobile

ProxyEmpire offers both rotating mobile and dedicated mobile. Pricing $5/GB rotating, $80/port/month dedicated. Pool size is moderate. Success rates: 86% Instagram, 84% Telegram.

The differentiation is the rotating mobile option at a price competitive with residential. For workloads where occasional ban tolerance is acceptable in exchange for cost, this is a reasonable middle ground.

Best for: cost-conscious operators willing to accept slightly higher ban rates.

10. NetNut Mobile

NetNut extended into mobile with carrier-direct ISP partnerships. Pool is smaller (claimed 1M+ mobile) but the IPs are stable and have strong reputation. Pricing is around $25/GB, premium to most rotating providers. Success rates: 94% Instagram, 92% Telegram.

Best for: customers needing static-residential-like stability on mobile-classified IPs.

Comparison table

providerpricing modelstarting pricegeo coveragesuccess rate (avg)dedicated portsbest for
Bright Dataper-GB$20/GB195 countries96%yesenterprise, obscure geos
SOAXper-GB$15/GB100+ countries90%yesmid-market global
IPRoyalper-GB$80/GBglobal87%limitedoccasional, 5G needs
Singapore Mobile Proxyper-port$50/monthSG, MY, ID, TH96%yes (default)ASEAN scraping
iProxy.onlineper-port$50/monthglobal89%yes (default)indie operators
MobileHopper-port$60/monthUS, UK, SEA91%yesreliability-focused
ProxyMesh Mobileper-port$40/monthUS, UK88%yessingle-vendor needs
AirProxyper-port$50/monthEU92%yesEU-focused
ProxyEmpireper-GB or port$5/GB rotatingglobal85%optionalcost-conscious
NetNut Mobileper-GB$25/GBglobal93%yesstability-focused

The pricing model split (per-GB vs per-port) is the first decision. Per-port works better for low-bandwidth high-session-count workloads. Per-GB works better for high-bandwidth low-session-count workloads.

Decision matrix: solopreneur, SMB, enterprise

profilebandwidthrecommended primarysecondaryreasoning
Solopreneur, 1-10 accounts<5 GB/moiProxy.online single portSingapore Mobile Proxy if ASEANOne dedicated port covers a small operation
Indie operator, 10-50 accounts5-50 GB/moSingapore Mobile Proxy or MobileHopiProxy.onlineMulti-port dedicated, predictable per-port pricing
SMB scraping team50-300 GB/moSOAX rotating + 5-10 dedicated portsNetNutHybrid model balances cost and per-account stability
Mid-market account farm300 GB-1 TB/moBright Data Mobile + dedicated port mixSOAXNegotiated bandwidth + ports for high-value accounts
Enterprise (compliance)1 TB+/moBright Data Mobile EnterpriseSOAX EnterpriseSLAs, audit logs, dedicated CSM
Regional ASEAN specialistanySingapore Mobile ProxyMobileHop SEARegional carriers (Singtel, Telkomsel, Globe) cannot be replicated by global players

The biggest waste of money is buying enterprise-grade global pools when the workload is narrow geographically. A regional dedicated-port provider with the right carrier mix outperforms a global pool on regional targets and costs a fraction.

Migration path: residential to mobile

Most operations start on residential because it is cheaper and only switch to mobile when ban rates on a specific target make residential uneconomical. The migration playbook:

  1. Identify the failing surface. Mobile is overkill for 80% of scraping. Pinpoint the specific target site, page type, or login flow where residential ban rate exceeds 15-20%.
  2. Run a parallel test. Subscribe to a single dedicated mobile port for the failing surface. Run the same workload through both pools for 2 weeks and compare ban rates and bandwidth-equivalent cost.
  3. Tier your traffic. Send only the failing surface through mobile. Keep the rest on residential. Most pipelines end up with 90% residential, 10% mobile by request count and 30/70 by cost.
  4. Match geo to target. When migrating, switch to a mobile provider with a carrier in the target’s primary user geography. A US Verizon IP scraping Indonesian Shopee is worse than an Indonesian Telkomsel IP for the same site.
  5. Re-test quarterly. Target sites change anti-bot stances. A surface that needed mobile last quarter might tolerate residential again, or vice versa.

Cost calculation: when does mobile beat residential?

The break-even depends on your ban tolerance. Mobile proxies cost roughly 5-10x residential proxies on a per-GB basis. They give you 3-5x lower ban rates on hard targets like Instagram, TikTok, banking sites, and account-based scraping.

If you are scraping Telegram with account survival as the constraint, mobile wins. If you are scraping public e-commerce product pages with no login state, residential wins on cost. The decision tree:

  1. Does your workload require persistent account state (login, cart, multi-step flow)? Yes -> mobile. No -> consider residential.
  2. Does your target site block residential IPs you have tested? Yes -> mobile. No -> residential is fine.
  3. Is your monthly bandwidth under 50 GB? Mobile dedicated port model is competitive. Above 200 GB? Residential wins on cost.

We cover the related decisions in our best residential proxy providers 2026 and best ISP proxy providers 2026 reviews.

Real total cost of ownership

A worked example clarifies the per-port versus per-GB economics. Suppose your workflow runs 30 Instagram accounts, scraping 50 profile pages per day per account, with average per-page weight of 800 KB:

  • Bandwidth per day: 30 accounts * 50 pages * 800 KB = 1.2 GB/day = 36 GB/month
  • Per-port model (Singapore Mobile Proxy): 6 dedicated ports at $60/month = $360/month, no bandwidth limit
  • Per-GB model (SOAX): 36 GB at $12/GB after volume = $432/month, but each account on a different rotating IP makes platform-side anomaly detection more likely
  • Per-GB model (Bright Data): 36 GB at $15/GB after volume = $540/month, plus the cleanest pool with best success rate

The dedicated-port approach wins on cost and on session stability. The per-GB approach wins when bandwidth per session is unpredictable or you need geographic flexibility per request. For account-based work the per-port model is almost always better; for pure rotating workloads the per-GB model wins.

Always recompute the math after a change in scrape intensity. Adding image pulls or a video preview to your scrape can 10x your bandwidth and flip the economics overnight.

Geo-matching matters more for mobile

Mobile proxies have stronger geo-trust signals than residential because the carrier subnet is identifiable. A Telkomsel (Indonesia) IP scraping an Indonesian e-commerce site looks like an Indonesian user from a Tier-1 carrier. The same content scraped from a US AT&T IP looks like a US user using Indonesian e-commerce, which is unusual.

For regional content (ASEAN e-commerce, MENA fintech, LATAM marketplaces), the geo-match is worth optimizing for. Generic global mobile proxies will work but have higher anomaly scores than country-matched mobile proxies.

Testing a mobile provider

Use the trial period to test:

import requests
import time
import json

def measure_mobile_proxy(proxy_url: str, samples: int = 50):
    results = {"ips": set(), "latencies": [], "success": 0, "failures": 0}
    for _ in range(samples):
        start = time.monotonic()
        try:
            resp = requests.get(
                "https://ipinfo.io/json",
                proxies={"http": proxy_url, "https": proxy_url},
                timeout=10,
            )
            latency = (time.monotonic() - start) * 1000
            data = resp.json()
            results["ips"].add(data.get("ip"))
            results["latencies"].append(latency)
            results["success"] += 1
            if "Mobile" not in data.get("org", "") and "Cellular" not in data.get("org", ""):
                print(f"WARNING: non-mobile org {data.get('org')}")
        except Exception as e:
            results["failures"] += 1
            print(f"error: {e}")
        time.sleep(2)
    print(f"Unique IPs: {len(results['ips'])}")
    print(f"Median latency: {sorted(results['latencies'])[len(results['latencies'])//2]:.0f}ms")
    print(f"Success rate: {results['success']/samples*100:.0f}%")
    return results

Verify three things: the IPs actually rotate (or are sticky as advertised), the org/ASN is genuinely mobile carrier, and latency is acceptable for your workload.

External authoritative reference: the GSMA carrier classification documentation covers mobile network operator definitions.

Common gotchas

  • Carrier IP poisoning. When one heavy abuser on a carrier subnet runs a flood, the entire subnet can get temporarily flagged by major target sites. Your IP, shared with the abuser via CGNAT, gets the same treatment until the carrier rotates the lease. Multi-carrier providers mitigate this; single-carrier providers do not.
  • SIM data plan limits. Dedicated port providers run on real SIMs with real data plans. Most plans cap at 50-200 GB/month before throttling. Hitting the cap mid-month silently drops your throughput. Reputable providers monitor and rotate SIMs, but ask about the policy.
  • Port-down events. A real phone in a real warehouse can lose signal, run out of battery, or need a manual reboot. Boutique providers run with 99% uptime; large pools mask single-port failures by routing to other ports. For dedicated-port customers, ask about port-replacement SLAs.
  • Hidden bandwidth on rotation. Each IP rotation involves an airplane-mode toggle that takes 5-15 seconds. During that window your requests fail. Some providers count failed-during-rotation requests against your bandwidth quota; others do not. Check the billing model.
  • Geo lock from carrier. A mobile provider can place a physical phone in Singapore, but if the SIM is registered to a regional carrier serving multiple countries, the IP geo can resolve as Malaysia or Indonesia depending on subnet assignment. Verify with ipinfo.io and maxmind.com lookups; do not trust the provider’s geo claim alone.
  • Account warmup pace. New accounts on a fresh dedicated mobile port still need to be warmed up gradually. Hitting the platform with 100 actions in the first hour from a new account, even on a clean mobile IP, is detectable behavior. Mobile improves IP reputation, not behavioral plausibility.
  • API rotation reliability. The provider’s rotate-IP endpoint sometimes returns 200 OK without actually rotating the IP. Always verify post-rotation by hitting an IP-echo service to confirm the new IP is different.

What to skip

Free mobile proxies: do not exist legitimately. Anyone offering “free mobile proxy” is either selling you a residential IP misclassified as mobile, or running a malicious operation. Mobile capacity costs real money to operate.

Suspiciously cheap rotating mobile (under $5/GB): the math does not work. Real mobile capacity at scale costs more than this. The provider is either reselling, lying about classification, or going to disappear.

Lifetime mobile deals: physical hardware ages, SIMs need replacement, plans expire. Lifetime guarantees are red flags.

FAQ

Q: 4G or 5G: does it matter for scraping?
For most use cases, no. The IP classification is what target sites care about, and both 4G and 5G IPs classify as mobile. Latency is slightly better on 5G (15-30ms vs 30-50ms cellular hop) but rarely the bottleneck. 5G specifically matters if you are testing 5G-only experiences.

Q: how often should I rotate a mobile IP?
For account-based scraping: rarely, ideally only when the session needs reset. For bulk rotation: every 1-5 minutes is typical, every 30 seconds is aggressive.

Q: do mobile proxies bypass everything?
No. Mobile gives you the best IP reputation but anti-bot systems also fingerprint TLS, browser, behavior, and request patterns. Mobile IP plus weak fingerprint still gets blocked by sophisticated targets.

Q: can I run multiple accounts on one mobile port?
Generally not safe for account-based scraping. The platform sees multiple accounts from one IP and the cluster gets flagged together. One account per dedicated port is the rule.

Q: how do I rotate IPs on a dedicated port?
Most providers expose an HTTP endpoint or API call that triggers airplane mode toggle on the underlying device. The phone reconnects to the carrier and gets a new IP. Rotation typically takes 5-15 seconds.

Q: what is the SLA for port uptime?
Top providers offer 99% port uptime; some go to 99.5% with credit policies for downtime. Boutique providers often do not publish SLAs but compensate with attentive support. For mission-critical workflows, get the SLA in writing.

Q: are 5G IPs more trusted than 4G?
Marginally. The IP classification matters more than the radio technology. Some banking and security-sensitive sites do score 5G slightly higher because 5G subscribers are statistically newer accounts on average. The difference is small.

Q: do I get IPv6 from mobile proxies?
Most mobile carriers run dual-stack with both IPv4 and IPv6, but proxy providers typically present an IPv4 endpoint regardless. If your target requires IPv6 (rare), confirm with the provider before signing up.

Closing

The mobile proxy market in 2026 is divided between enterprise-grade global pools (Bright Data, SOAX, NetNut), regional specialists (Singapore Mobile Proxy, AirProxy), and dedicated-port indie-friendly providers (iProxy.online, MobileHop). The right choice depends on geography, pricing model, and whether you need session stability or rotation. For most ASEAN-focused account-based scraping, regional specialists win on success rate. For global enterprise needs, Bright Data or SOAX is the safer pick. For broader proxy strategy see our best-proxy-roundups category hub.

last updated: May 17, 2026

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Proxy Signals Podcast
Operator-level insights on mobile proxies and access infrastructure.

Multi-Account Proxies: Setup, Types, Tools & Mistakes (2026)