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Did you know that Google Chrome is the most popular web browser in the world, with over 68.9% of the market share? With its sleek design and fast performance, it's no wonder people love using Chrome for all their browsing needs.

But what happens when the browser starts blocking websites? In this article, we’ll explore the reasons why websites get blocked in Chrome. So, get ready to dive into the world of Chrome's security features and discover why it's important for your online safety.

Python package management has evolved to prioritize system stability and security. With recent updates, many operating systems now restrict direct changes to system-managed Python environments. As a result, users often encounter the "externally-managed-environment" and other errors when trying to install packages using pip. This guide explains why this error appears and provides up-to-date, practical solutions to help you install Python packages safely in 2026.

Google AI Mode was launched as a Search Labs experiment in March 2025. It's powered by Gemini 2.5, which synthesizes answers from multiple sources and allows you to ask follow-up questions. Google AI Mode isn't the same as Google search results; it's an entirely full-page conversational interface using different URL parameters, rendering pipelines, and scraping logic. This guide provides a walkthrough of two different approaches: a working Playwright script you can execute right away, and the Decodo Web Scraping API for production.

nodriver is a Python package for browser automation and web scraping built as the successor to undetected-chromedriver. It skips the usual WebDriver layer, talks to Chrome more directly than Selenium, and uses an async-first design. In this guide, you'll learn what nodriver is, how it works in Python, and where it fits for scraping JavaScript-heavy pages when basic browser automation starts showing its limits.

Web scraping becomes truly valuable when it is automated. It allows you to track competitor prices, monitor job listings, and continuously feed fresh data into AI pipelines. But while building a scraper that works can be exciting, real-world use cases require repeatedly and reliably collecting data at scale, which makes manual or one-off scraping ineffective. 

Scheduling enables this by ensuring consistent execution, reducing errors, and creating reliable data pipelines. In this guide, you will learn how to automate scraping using 3 approaches: in-script scheduling with Python libraries, system-level tools like cron or Task Scheduler, and cloud-based solutions such as GitHub Actions.

If you're scraping with Playwright or Selenium, you've hit this. Your script works on unprotected sites, but Cloudflare, PerimeterX (HUMAN Security), and DataDome detect the headless browser and block it within seconds. Stealth plugins help, but each browser update breaks the patches. Camoufox takes a different approach – it modifies Firefox at the binary level to spoof browser fingerprints, making automated sessions look like real user traffic. This guide covers Camoufox setup in Python, residential proxy integration, real-world test results against protected targets, and when browser-level tools aren't enough.

Since there are thousands of job postings scattered across different websites and platforms, it's nearly impossible to keep track of all the opportunities out there. Thankfully, with the power of web scraping and the versatility of Python, you can automate this tedious job search process and land your dream job faster than ever.

eBay is the second-largest online marketplace in the US, and unlike traditional eCommerce platforms, it's an open marketplace where people auction cars, sell rare collectibles, and seal personal deals directly with buyers. That makes it one of the richest targets for web scraping and data extraction – you get access to auction bids, final sale prices, seller ratings, and historical records of what buyers actually paid, not just listed prices. In this guide, you'll learn how to scrape eBay with Python, covering the tools, methods, and best practices to extract data cleanly and at scale without getting blocked.

Google Flights is a rich source of crucial flight information, such as prices, airlines, times, stops, durations, and emissions, but scraping this information has never been easy. The flight search engine hides valuable data behind JavaScript-heavy pages and anti-bot protections. This guide explains how to scrape Google Flights using Python by building a browser-based scraper powered by Playwright.

Google Sheets is a powerful data management tool, but few people know it can also pull data directly from the web without a single line of code. Using built-in import functions, you can scrape website content, parse tables, and pull live feeds straight into your spreadsheet. In this guide, you'll learn how to use IMPORTXML for XPath-based data extraction, IMPORTHTML for grabbing tables and lists, IMPORTFEED for RSS and Atom content, IMPORTDATA for CSV files, and IMPORTRANGE to link scraped data across spreadsheets. We'll also cover Google Apps Script for automation, common errors and how to fix them, and when to reach for a dedicated scraping tool instead.

Google search results are one of the essential ways to track rankings, ads, SERP features, and shifts in search intent at scale. The hard part is collecting that data reliably, because modern SERPs vary by query, location, device, and result type. In this guide, you'll learn 3 practical ways to scrape Google search results: lightweight extraction, a custom-built scraper, and a managed SERP API.

As websites become more dynamic and better at detecting automated traffic, choosing the right automation tool has become more challenging. At the same time, performance, reliability, and anti-detection capabilities matter more than ever. Two tools dominate the space: Selenium, a mature and widely adopted standard, and Playwright, a newer framework built for modern web apps. This guide compares them through practical use cases like web scraping and dynamic content extraction to help you decide which fits your needs best.

A proxy hostname is the domain you use to connect to a proxy service. Rather than entering a numeric IP address, the client connects through a readable host address that points to the provider’s proxy servers. Once configured in a browser, application, or script, this hostname ensures that outgoing requests pass through the proxy network before reaching the intended website.

PHP has been powering the server side of the web for decades, and all that HTTP handling experience makes it a surprisingly capable tool for web scraping. It's not the first language most people reach for – that's usually Python – but if PHP is already your daily driver, there's no reason to switch completely. In this article, you'll learn everything there is to know about web scraping with PHP.

Not all Python HTTP clients behave the same way on the wire. The one you choose affects how many requests you can run concurrently, how identifiable your traffic is to anti-bot systems, and how much code you need to manage. This guide breaks down six clients – urllib3, Requests, HTTPX, aiohttp, curl_cffi, and Niquests – covering where each fits and where it falls short.

Decodo has a new CEO. Vaidotas Juknys, previously our Chief Commercial Officer, is stepping up to lead the company forward. Vytautas Savickas, who built Decodo into one of the most recognized names in the proxy and web data collection space, is moving to new ventures. Here’s what this means for our clients, our product, and our future.

Web scraping is one of the most effective ways to collect publicly available data at scale, but without the right infrastructure, it often leads to a familiar roadblock: the “Your IP Address Has Been Banned” error. This message means a website has blocked your IP address after detecting automated or unusually frequent requests. Fortunately, IP bans are both fixable and preventable. In this guide, we explain what causes IP bans during web scraping, how to recover when one happens, and the best practices for keeping your scraping operations running smoothly without interruption.

A rank tracker API lets you pull keyword ranking data in structured formats like JSON or CSV, so you can automate position tracking instead of checking every single keyword manually. We’ll compare the best rank trackers with API access in 2026, covering SERP scraping APIs, platform-based APIs, pricing, and how to actually set up automated keyword tracking.