The proxy network powering thousands of businesses. Built for web scraping, AI data pipelines, price monitoring, and more. Starting From $0.5/GB.
Trusted by thousands of teams worldwide
Our Products
Whether you need premium US mobile IPs, global residential coverage, high-speed datacenter proxies, or static ISP sessions, Proxidize has you covered.
Our managed mobile proxies and residential proxies are both free to sign up for. View pricing to compare plans.
Use Cases
From web scraping and price monitoring to brand protection and AI data collection, Proxidize handles the proxy layer so your pipelines run without interruption.
Our rotating residential and mobile IPs keep your scrapers undetected, with no CAPTCHAs, no bans, and no disruptions.
Global Network
Our network spans 195+ countries, with city-level targeting across every major market.
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Integrations
Drop Proxidize into your existing tools in minutes. Python, Node.js, Go, Playwright, Puppeteer, Selenium, n8n, Make, Zapier, and 30+ more.
Automation & API
Standard HTTP proxy protocol. No SDK, no custom library. Drop in your credentials and you're live.
One endpoint, one credential pair. Works with every HTTP client.
Auto-rotate IPs on every request, or pin a session.
HTTP, HTTPS, SOCKS5, and UDP proxies. Whatever your stack uses, we support.
Need to configure rotation intervals or sticky sessions? See the mobile proxy rotation setup guide.
Why Proxidize
We built the managed proxy service we wished existed: clean IPs, simple access, transparent usage, and real support for teams that depend on reliable data.
Learn more about Proxidize, a managed cloud proxy provider built for developers, enterprises, and AI teams.
Every IP in our network is opt-in. Real users voluntarily share bandwidth with strict consent across all devices.
Know Your Customer verification for any financial or HR sites. We maintain a strict acceptable-use policy.
Premium support via live chat and email. Enterprise plans come with a dedicated account manager.
Proven uptime backed by redundant infrastructure across multiple data centers globally.
Create sub-users on the account level or access points/proxy users to separate proxy usage.
Monitor bandwidth usage, success rates, active sessions, and billing — all in one clean, live dashboard.
Customer Reviews
Real feedback from engineers, growth teams, and agencies who rely on Proxidize daily.
“The UI is really easy to understand, even if you're not familiar with tech or proxy terminology. I'm a complete beginner with all of this, and I understood it right away. Their support chat is also world-class: I've never waited more than a few minutes, and they actually understand what you're asking. It was straightforward to integrate my proxy. Performance-wise it's extremely fast — I have friends paying 5x the price for less performance.”Read on G2
Recognition
SOC 2 Type II certified. ISO 27001 certified. Every audit passed, every standard met.
Blog & Resources
CAPTCHA solving at scale starts with the solver. You need an API that can return valid answers for the CAPTCHA types your workflow sees, without making every additional solve increase your costs at the same rate. That is where CaptchaAI fits into the workflow.
When it comes to choosing the right type of proxy for a particular use case, it is common to get overwhelmed by the variety of proxies available to perform different functions. However, using residential proxies for web scraping is a clear and effective choice that stands out in scraping projects. It is a tried-and-tested solution because rotating residential proxies are highly effective at evading detection and avoiding blocks.
Mobile proxies vs residential proxies is a popular debate in the proxy industry, which is not surprising because these two are some of the most popular and powerful types of proxies. The most important difference is that a mobile proxy routes traffic through a real cellular network, while a residential proxy routes traffic through real residential ISP connections.
VMLogin gives each browser profile its own fingerprint, cookies, and session data. That is the whole point of an antidetect browser. However, without a proxy, every one of those profiles still shares your real IP address. The platform can tie them all together through the IP alone, and the fingerprint isolation you spent time setting up counts for nothing.
Crawl4AI is an open-source Python framework built for one job: turning websites into clean, structured data that AI models can actually use. It takes raw HTML, strips the noise, and outputs Markdown or JSON that feeds directly into LLM pipelines, RAG systems, and downstream automation without the usual cleanup overhead.
Google does not actually search the internet when you type in a query. That would take far too long. What it does instead is maintain a massive index of pages it already found ahead of time, and it built that index using web crawlers. These are programs that visit a web page, read what is on it, and follow every link they find to discover more pages. Google’s crawler, Googlebot, evolved out of a Stanford research project called BackRub that first started crawling the web in 1996. It has not stopped since.
If you’ve ever manually checked where your site ranks for a keyword, you know the drill. Open Ahrefs, type the keyword in, note the position, maybe copy it into a spreadsheet. It works when you’re watching 20 keywords. It stops working the moment that list hits a few hundred, and it completely falls apart at a few thousand.
Browser fingerprinting is a powerful technique that websites use to identify users by collecting a variety of data points, such as fonts, screen resolution, time zone, plugins, audio setup, and overall configuration.
If you have ever managed more than a few online accounts from the same device, you already know how it goes. The platforms start connecting the dots. One account gets flagged, the IP gets blacklisted, and every other profile running from that same connection goes down with it. It does not matter how different your usernames were or how careful you were with your login patterns. If the IP was the same, the platform treated them as the same person.
Meta’s Llama 3 was pre-trained on over 15 trillion tokens of web-crawled data. Llama 4, released in April 2025, more than doubled that to over 30 trillion tokens of multimodal content (with individual models ranging from 22 to 40 trillion tokens depending on the variant). Common Crawl’s March 2026 archive alone, one month of one nonprofit’s crawling, contained 1.97 billion pages and 344.64 TiB of uncompressed content. The actual volumes that OpenAI, Anthropic, and Google collect internally are almost certainly larger.
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