How to Use a Proxy

24Jun2026

When You Need a UDP Proxy and How SOCKS5 UDP Support Works (2026)

UDP

What Is a UDP proxy?

A UDP proxy is a type of proxy that forwards User Datagram Protocol traffic between a client and a server. It acts as an intermediary for UDP, accepting each UDP packet from the client and forwarding it toward the destination IP address and port.

The destination server sees the proxy server IP address rather than the original client. As a low-level proxy, UDP proxies do not interpret application data. They simply relay datagrams, which is what makes UDP proxies suitable for fast, real-time transmission. UDP proxies stay protocol agnostic, forwarding almost any packet without inspection.

UDP proxies differ sharply from http proxies. HTTP proxies were designed for web traffic, while UDP proxies are designed to move UDP packets. In practice, almost every UDP proxy today is a SOCKS5 proxy that implements the UDP ASSOCIATE command.

17Jun2026

Forward Proxy vs Reverse Proxy: Key Differences

Forward Reverse

A proxy acts as an intermediary between a user and the wider network, but the direction it faces changes everything. The forward proxy vs reverse proxy question comes down to one thing: who the proxy represents.

This guide explains how each one works, where each fits, the trade-offs involved, and how to choose the right proxy for a given workload.

Both route traffic through an extra hop, yet they solve opposite problems. A clear grasp of the differences between forward and reverse proxies prevents costly architecture mistakes and keeps systems stable and measurable.

07May2026

ISP vs Residential Proxies: Key Differences and Use Cases

ISP vs ResidentialWe work with thousands of clients who run web scraping, market research, ad verification, SEO monitoring, and large-scale automation projects. The question we hear most often is simple: which proxy type fits my workload – ISP or residential? In this guide we explain how isp and residential proxies operate, where each one performs best, and how to choose the right proxy for your needs. The choice between isp and residential proxies usually comes down to scale, speed, and how strict the target endpoint is about ip diversity.

Quick Comparison: ISP vs Residential Proxies

Below is a quick reference table that summarises how isp proxies and residential proxies differ across the parameters that matter most for performance testing and analytics workflows.

07May2026

IPv4 vs IPv6 Proxies: Full Comparison, Performance, and Use Cases (2026)

IPv4 vs IPv6

We provide both IPv4 and IPv6 proxies, and we know that picking the right type of IP address can be confusing. The choice of IP version affects pricing, compatibility, and performance for everything from data collection to ad verification. In this guide, we walk through the key differences between the two protocol versions and help you decide which one fits your project.

What Are IPv4 Proxies?

21Apr2026

Best Rank Tracking Proxies for SEO in 2026

Proxies for SEO

Accurate ranking data is the backbone of every SEO strategy. Without proxies, every rank check returns personalized search results tied to your proxy IP and physical location, making it impossible to see what real users see at the top of search engine results. At Proxys.io we help SEO agencies, in-house teams, and solo professionals collect clean, unbiased SERP data by routing requests through the right proxy infrastructure. In this guide we review 7 SEO proxy providers – including 10 best features to look for – and explain which proxy type, IP pool, and pricing model fits each use case for tracking in 2026.

Whether you need to scrape thousands of keywords, run a rank tracker across multiple locations, or feed SERP data into your analytics pipeline, the proxy you choose directly affects data quality, success rate, and cost. Below you will find the best seo proxy providers compared on IP diversity, rotation, geo-targeting, API access, and value – everything professional seo teams need from proxies for rank tracking.

16Apr2026

How to Use Proxies with eBay and Amazon: A Complete Guide for E-Commerce Professionals

eBay and Amazon

Whether you're a marketplace seller, a data analyst, or a developer building automated tools for e-commerce operations, understanding how to use proxies with eBay and Amazon is essential for working at scale. Both platforms are among the most technically protected online marketplaces in the world – they deploy multi-layer anti-bot systems, IP reputation scoring, rate limiting, and behavioral analysis to control automated access.

Without a well-configured proxy setup, large-scale data collection, price monitoring, and automation tasks become impossible. A proxy acts as an intermediary between your scraper or automated tool and the target platform, routing your requests through a different IP address and making each request appear as organic traffic. This guide will walk you through the key use cases, how to choose the right proxy type, and how to configure your tools for reliable, uninterrupted marketplace operations.

19Mar2026

Datacenter vs Residential Proxies: Which One Do You Actually Need?

Datacenter Residential

Choosing the right proxy type is one of the most important decisions for any online project. Whether you need to scrape data, manage multiple accounts, the differences between residential and datacenter proxies will directly affect your results. This comparison guide from Proxys.io covers datacenter vs residential proxies in detail, helping you select the best proxy technology for your particular use cases.

What Are Datacenter Proxies?

Datacenter proxies are IP addresses hosted in commercial data centers and operated independently of any internet service provider. Datacenter proxies use server-based infrastructure to route your traffic through high-performance machines. Datacenter IPs come from blocks assigned to hosting companies, which means they are not tied to a physical household or a real residential internet connection.

26Feb2026

What Is Data Parsing?

Data Parsing

What Is Data Parsing and How It Works

Data parsing has become one of the most essential operations in modern information processing. At its core, data parsing is the process of taking raw, unstructured or semi-structured data and transforming it into a format that systems and people can work with. Parsing is a crucial step in any workflow that depends on accurate, timely information – from e-commerce analytics to financial reporting.

So what does data parsing means in practical terms? Data parsing is converting a string of data from one format into another that is easier to process. Parsing involves breaking input data into smaller pieces, labeling each piece, and reassembling the result data into a more readable and usable structure. The output is clean information ready for storage or downstream use.

11Dec2025

Incogniton Review: How This Anti‑Detect Browser Helps You Manage Multiple Accounts

incogniton logo

Running a single account is easy; operating tens without getting flagged is a demanding feat. One that exposes the core challenge of today’s internet.

The reality is simple: web platforms don’t rely on IP tracking alone anymore. They combine IP signals with a layered set of hardware, software, and rendering traits that can’t be cleared like cookies. Once these signals align across accounts, platforms can connect activity instantly. This technique is called Browser fingerprinting.

Even with strong proxies, the same fingerprint can expose multiple accounts. This is exactly where Incogniton becomes essential. It adds a second layer of privacy protection by providing a fully-isolated browser, masking these fingerprints and closing the gap that proxies alone can’t fill.

23Sep2025

Scraping vs Crawling: Key Differences

Web Scraping

Ever wondered how Google finds every webpage out there, or how a price comparison site gathers data from dozens of online stores? The answer lies in two distinct techniques: web crawling and web scraping. These terms often get mixed up, but they actually refer to different processes. In short, web scraping is about extracting specific data from websites, whereas web crawling is focused on discovering and indexing pages across the web. Both are essential in the world of data gathering, but they serve different purposes. Let’s dive into what each one means and how they differ, in a way that’s clear even for a non-developer yet detailed enough for a technical reader.