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Home » Blog » 5 Mobile Proxy Providers Worth Knowing for Web Scraping, and Why These Specific Ones Made the List
Services & Software

5 Mobile Proxy Providers Worth Knowing for Web Scraping, and Why These Specific Ones Made the List

Miller (AI & Cyber Security Guy)
Last updated: July 10, 2026 5:33 pm
Miller (AI & Cyber Security Guy)
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5 Mobile Proxy Providers Worth Knowing for Web Scraping
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Contents

  1. Quick Context on Why Mobile Proxies Specifically
  2. CyberYozh Made the List Because of What Surrounds the Proxies, Not Just the Proxies
  3. NetNut Is Enterprise-Grade Infrastructure That Requires Enterprise-Grade Patience to Configure
  4. Rayobyte Has Transparent Sourcing and Beginner-Friendly Resources, but Mobile Coverage Is Thin
  5. Decodo Offers Broad Coverage With Fast Response Times, at a Price That Filters Out Smaller Operations
  6. Bright Data Is Here Because Ignoring the Largest Provider in the Space Would Be Dishonest
  7. How These Five Compare on the Numbers That Actually Affect Scraping Workflows
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Most proxy comparison articles recycle the same five or six names, put them in a table, and call it a day. Bright Data, Oxylabs, Smartproxy, the usual rotation. The lists read like they were written by someone who visited each provider’s pricing page for about four minutes and ranked them by whatever number looked biggest.

I wanted to do something different with this one. Four of the five picks here are less commonly featured providers that earned their spot for specific practical reasons, not brand recognition. The fifth is Bright Data, and I kept it because pretending the largest provider in the space does not exist would make the list dishonest.

Every pick was chosen around a particular workflow need. Not “which one has the most IPs” because that number means almost nothing on its own. More like which provider solves a specific scraping problem better than the alternatives, and why someone building a real data collection pipeline would care about the difference.

Quick Context on Why Mobile Proxies Specifically

Mobile proxies route traffic through real 4G and 5G carrier connections. That matters because thousands of actual smartphone users share the same carrier IP pools at any given time, which means a request coming through a mobile proxy looks identical to a request coming from someone scrolling their phone on a bus. Websites see real carrier metadata, the ASN, the carrier name, the device type, all of it matching what a genuine mobile user would produce.

For scraping social platforms, this is not optional. Instagram, TikTok, Reddit, anything that aggressively fingerprints incoming traffic will flag datacenter IPs almost immediately. Residential proxies last longer but still carry a different trust profile. Mobile sits at the top of the hierarchy because the IP behavior matches what these platforms expect from their actual user base.

Mobile proxies cost more per gigabyte than datacenter or residential options. The picks below were chosen partly on how well each provider manages that cost-to-value ratio at different scales of operation.

CyberYozh Made the List Because of What Surrounds the Proxies, Not Just the Proxies

50M+ IPs across 100+ countries. HTTP, HTTPS, SOCKS5, and UDP support. Unlimited traffic. Pricing from $1.7 per day.

Solid numbers on their own but not the reason I put CyberYozh here. Plenty of providers have large IP pools and decent protocol support. What caught my attention is the ecosystem wrapped around the mobile proxy infrastructure that most competitors simply do not offer.

When running a scraping workflow at any real scale, the proxy IP is only one piece. You also need to verify whether that IP is clean before sending it into a target site, because a flagged IP burns your entire session before it starts.

What CyberYozh bundles that others charge separately for:

  • IP quality checker built into the platform, so you verify reputation before every campaign without needing a third-party tool
  • Virtual numbers from 140+ countries for SMS-based verification steps
  • Virtual cards for payment workflows
  • Card and phone validators to avoid identifiers that are already flagged somewhere

For anyone running account management alongside scraping, having all of that inside one platform removes friction that stacks up fast when you are coordinating across three or four separate services.

No KYC requirement. Crypto payments accepted. Not every operation wants to hand over corporate identity documents just to buy proxy access, and CyberYozh does not ask for them.

The unlimited traffic on daily plans is worth calling out specifically. Most providers charge per gigabyte, and large-scale social scraping burns through data volume quickly. A flat $1.7 per day removes the mental overhead of calculating whether each additional request is worth the bandwidth cost.

NetNut Is Enterprise-Grade Infrastructure That Requires Enterprise-Grade Patience to Configure

5 million mobile IPs. 100 countries. 99.99% connection reliability claim. Custom enterprise pricing.

NetNut built their infrastructure for companies running high-volume API calls and automated pipelines that need low latency across millions of requests. The connection stability is genuinely strong, and for teams already operating at enterprise scale with dedicated engineering resources, the network handles sustained load well.

The reason I included it despite the enterprise focus: the mobile IP pool quality is notably clean. In scraping workflows where IP reputation directly determines success rate, starting with a pool that has not been hammered by thousands of other customers running the same targets matters more than pool size alone.

The trade-offs are real though.

  • Pricing is custom-only and starts around $210 for 72GB residential, which puts it out of reach for smaller teams
  • Configuration requires hands-on work to manage rotation settings and session stability properly
  • Not plug-and-play. This is infrastructure that rewards technical investment and punishes anyone expecting it to work well out of the box without tuning

Rayobyte Has Transparent Sourcing and Beginner-Friendly Resources, but Mobile Coverage Is Thin

Residential, datacenter, ISP, and mobile proxies. Non-expiring traffic credits. Starting at $50 per month for 1 IP and 2GB of mobile traffic.

I put Rayobyte on this list for a reason that has nothing to do with having the biggest numbers. Their sourcing practices are more transparent than most providers in the space, and for teams operating under compliance requirements or ethical sourcing policies, that transparency can be a requirement rather than a nice-to-have.

Rayobyte University is also genuinely useful. Most proxy providers assume their customers already know what they are doing. Rayobyte assumes some of them do not and built learning materials accordingly. For anyone entering the scraping space without deep technical background, that resource library saves a lot of trial-and-error time.

Where it falls short for serious mobile scraping:

Two gigabytes of mobile traffic for $50 per month does not go far when a single social platform session can consume that in hours. The geo-targeting options for mobile IPs are limited compared to providers with larger mobile-specific networks. For occasional mobile proxy needs alongside heavier residential or datacenter usage, Rayobyte fits. For mobile-first workflows at volume, the mobile tier is too thin to rely on.

Decodo Offers Broad Coverage With Fast Response Times, at a Price That Filters Out Smaller Operations

125M+ residential IPs with mobile proxy access. 195+ locations. Sub-0.6 second average response time. 99.76% success rate.

The sub-0.6 second average response time is what put Decodo on this list. That number is fast enough to matter for real-time monitoring workflows and scraping operations where timing directly affects data freshness. Price monitoring, ad verification, competitive intelligence scraping, all of these benefit from lower latency because stale data in those contexts has a very short shelf life.

City-level and ISP-level targeting helps when scraping needs to simulate traffic from specific locations rather than broad country-level coverage. For ad verification in particular, checking how an ad renders for a mobile user in a specific city is a practical capability, not just a spec-sheet feature.

Pricing starts at $8.00 per gigabyte on pay-as-you-go and drops to $6.00 per gigabyte at the 50GB tier. Chrome and Firefox browser extensions are available for manual testing before committing to API integration, which saves setup time during evaluation.

Not a budget option. Not trying to be. I included Decodo because when speed and reliability are the priority over price, the sub-0.6 second response time and 99.76% success rate hold up under real workload conditions.

Bright Data Is Here Because Ignoring the Largest Provider in the Space Would Be Dishonest

7M+ mobile IPs. 70M+ residential IPs. 195 countries. City, ZIP code, carrier, and ASN level targeting.

Bright Data is the provider that shows up on every list, and there is a reason for that beyond marketing spend. They operate the largest proxy network available commercially, with granularity in targeting that goes deeper than most competitors can match. ZIP code level targeting, specific carrier selection, ASN filtering. For scraping operations that require precise geographic or network-level simulation, the targeting options are difficult to replicate elsewhere.

The mobile IP pool at 7M+ is among the largest dedicated mobile networks in the industry. Full SOCKS5 and UDP support. The infrastructure has been built and refined over years, and for enterprise teams running complex multi-target scraping pipelines, the network handles scale without the reliability questions that smaller providers sometimes raise.

Why it does not automatically win every comparison:

  • Pricing is premium. $8.00 to $8.40 per gigabyte on pay-as-you-go, $999 per month for business plans
  • Mandatory KYC verification creates friction for teams that value operational speed or privacy
  • Platform complexity produces a learning curve that smaller teams or solo developers often find steeper than necessary

I kept Bright Data on this list the same way you would keep a major airline in a travel comparison. Not always the best value, not always the most convenient, but leaving it out would create a gap the reader would notice and the list would lose credibility for.

How These Five Compare on the Numbers That Actually Affect Scraping Workflows

CyberYozhNetNutRayobyteDecodoBright Data
Mobile IPs50M+5MLimitedPart of 125M+ residential pool7M+ dedicated mobile
Countries100+100Limited mobile geo195+195
ProtocolsHTTP, HTTPS, SOCKS5, UDPHTTP, HTTPS, SOCKS5HTTP, HTTPS, SOCKS5HTTP/S, SOCKS5HTTP/S, SOCKS5, UDP
Traffic modelUnlimitedCustom/enterprise2GB for $50/moPay-per-GB from $6/GBPay-per-GB from $8/GB
Starting price$1.7/day~$210 (72GB residential)$50/mo$8/GB PAYG$8.40/GB PAYG
KYC requiredNoYesYesYesYes
Crypto paymentsYesNoNoNoLimited
IP health toolsBuilt-in checkerNoNoNoSeparate product
Best forFull-stack scraping with verification needsEnterprise-scale API pipelinesCompliance-conscious teams, beginnersSpeed-sensitive monitoring workflowsComplex multi-target enterprise operations

The table is worth reading by column rather than by row. Pick the row that matches what matters most for your specific workflow, whether that is pricing model, protocol support, traffic limits, or verification tooling, and the comparison narrows quickly.

Five providers, five different positions in the market. I could have made the list longer but adding names for a rounder number would have meant including providers that do not bring anything distinct to the comparison. These five cover the range from unlimited-traffic daily plans at $1.7 through to enterprise infrastructure at $999 per month, and each one earned its spot for a reason that goes past having a website and a proxy network.

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ByMiller (AI & Cyber Security Guy)
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Mike Miller, a cybersecurity and AI expert with over 10 years of experience in the field. I have a proven track record of helping companies strengthen their security posture by identifying and addressing vulnerabilities in their networks and systems. I have a deep understanding of AI and its applications. Part time writing at Mobilemall Blog.
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