Welcome to Decodo Blog!

Not all proxies actually protect your identity. Some proxies openly tell websites, "This request came through a proxy," while some can even leak your real IP if they're configured poorly. There are three proxy anonymity levels: transparent, anonymous, and elite. This article will walk you through each one, explain how they work, and help you choose the most suitable option for you.

Web scraping used to mean wrestling with Python scripts, brittle selectors, and an ever-growing list of sites that suddenly stopped working. AI-powered agents are changing that. This guide walks you through setting up OpenClaw with Decodo's scraping skill to build a reliable, proxy-backed web scraping setup. By the end, you'll have a working configuration that handles JavaScript rendering, bot detection, and proxy rotation out of the box.

Dynamic pricing is everywhere – from the flight you booked last week to the headphones in your cart right now. But as AI-powered algorithms grow more sophisticated, adjusting prices millions of times a day based on demand, competition, and increasingly personal data, a critical question is emerging – is this still fair? We analyzed over 1.5M eCommerce price changes and introduced our second-annual Dynamic Pricing Index to find out what’s really happening beneath the surface.

Dynamic pricing, the practice of adjusting product prices in real time based on demand, competition, inventory, and other market signals, has become one of the defining features of modern eCommerce. Once limited to airline tickets and hotel rooms, algorithmic pricing now touches nearly every product category, from groceries and fashion to electronics and home improvement supplies. Our second-annual Dynamic Pricing Index, compiled from over 1.5M data points tracked at four-hour intervals across more than 120 eCommerce platforms in 40+ countries, reveals the scale and sophistication of this practice.

The US and Asia dominate global eCommerce, but their dynamic pricing strategies reveal distinct philosophies. Using 1.5M data points from 120+ platforms, our second-annual Dynamic Pricing Index compares how each region approaches price changes. We analyzed discount depth, pricing volatility, and stability to uncover what these patterns reveal about consumer behavior and competitive strategy.

There's a reason that a flat-screen TV costs $999 instead of $1,000. That grocery item rings up at $4.99, not $5.00. Your new sneakers are priced at $79.95, conveniently avoiding the psychological cliff of $80. It's called psychological pricing, and according to our Dynamic Pricing Index report of over 1M price observations on 120 eCommerce platforms, it's not just alive and well in eCommerce. It's absolutely everywhere.

Real-time pricing has moved from a competitive advantage to a competitive necessity. Retailers without algorithmic pricing capabilities now face a structural disadvantage against competitors who can respond to market conditions in minutes rather than days. This report provides the benchmarking data your pricing, merchandising, and technology teams need to assess your competitive position and inform investment decisions.

If you’ve ever added a product to your cart only to find the price has shifted by the time you check out, you’ve experienced dynamic pricing in action. What once seemed like sporadic discounting is now a sophisticated, algorithmically driven discipline that reshapes prices across millions of products every hour of every day.

Scraping projects usually start simple: a Python script, the Beautiful Soup parsing library, and a list of URLs. That's enough for small jobs. Once you're past a few hundred thousand pages, you start hitting problems: timeouts, IP bans, parsers returning empty fields because someone changed a div to a span. At that point, it's not a coding problem anymore, it's an infrastructure problem. This guide covers the architecture, proxy management, anti-bot evasion, pipelines, costs, compliance, where the industry is headed, and build vs. buy decisions.

Whether you're running an SEO audit, planning a site migration, or hunting down broken links, there's one task you'll inevitably face – finding every URL on a website. It sounds simple, but it isn't. Search engines don't index everything, sitemaps are often outdated, and dynamic pages hide behind JavaScript. This guide walks you through every major discovery method, from quick Google search operators and no-code scrapers to custom Python scripts.

The data scraping tools market is growing significantly, valued at approximately $875.46M in 2026. The market is projected to grow more due to the increasing demand for real-time data collection across various industries.

Google Threat Intelligence Group, together with Cloudflare, Spur, and Lumen's Black Lotus Labs, announced that it dismantled IPIDEA, one of the world's largest residential proxy networks, reducing available devices for proxy operators by millions. The network facilitated espionage operations, cybercrime, and botnet attacks while hijacking consumer bandwidth without proper consent. In a single 7-day period in January, over 550 individual threat groups from China, DPRK, Iran, and Russia used IPIDEA infrastructure to mask malicious activities. This disruption highlights a critical but often overlooked risk in digital operations. How companies source IP addresses and proxy services directly impacts security posture, regulatory compliance, and ethical standing in an increasingly scrutinized digital landscape.

Excel is an incredibly powerful data management and analysis tool. But did you know that it can also automatically retrieve data for you? In this article, we’ll explore Excel's many features and its integration with Visual Basic for Applications (VBA) to effectively scrape and parse data from the web.

In 2025, the World Intellectual Property Organization (WIPO) handled a record 6.2K domain name disputes, marking the highest total in the organization's history. This figure represents a continuation of the alarming upward trend, with cybersquatting cases rising 68% since the 2020 pandemic. Domain squatting has evolved far beyond a simple trademark nuisance. Today, criminal networks register fake domains to steal customer data, distribute malware, and destroy brand reputations built over decades.

Etsy is a global marketplace with millions of handmade, vintage, and unique products across every category imaginable. Scraping Etsy listings gives you access to valuable market data – competitor pricing, trending products, seller performance, and customer sentiment. In this guide, we'll show you how to scrape Etsy using Python, Playwright, and residential proxies to extract product titles, prices, ratings, shop names, and URLs from any Etsy search or category page.

The terminal might seem intimidating at first, but it's one of the most powerful tools for Python development. The terminal gives you direct control over your Python environment for such tasks as running scripts, managing packages, or debugging code. In this guide, we'll walk you through everything you need to know about using Python in the terminal, from basic commands to advanced troubleshooting techniques.

Artificial intelligence is transforming various fields, ushering in new possibilities for automation and efficiency. As one of the leading AI tools, ChatGPT can be especially helpful in the realm of data collection, where it serves as a powerful ally in extracting and parsing information. So, in this blog post, we provide a step-by-step guide to using ChatGPT for web scraping. Additionally, we explore the limitations of using ChatGPT for this purpose and offer an alternative method for scraping the web.

Web scraping is a powerful way to collect publicly accessible data for research, monitoring, and analysis, but the tools you choose can greatly influence the results. In this article, we review six of the most popular programming languages for web scraping, breaking down their key characteristics, strengths, and limitations. To make the comparison practical, each section also includes a simple code example that highlights the language’s syntax and overall approach to basic scraping tasks.