Proxy Integration with Incogniton

Proxies act as intermediaries hiding your IP address when connecting to the internet. They’re particularly useful if you can’t access a certain website because you are banned or when you’re trying to access geo-blocked content like on Netflix, YouTube, or a flight ticket platform.

Residential and datacenter proxies are the main two types that offer a way to hide your IP and, among many other things, can help you anonymously scrape data from the web. However, they differ significantly – so which proxy type is the ideal choice for you?

Whether you call yourself a seasoned proxy user or just starting to leverage the power of proxies, it's always good to learn a thing or two. And this time, we're talking about backconnect proxies. In short, backconnect proxies allow you to remain anonymous while accessing the internet by constantly rotating your IP address. These proxies are useful for individuals or companies who need to navigate internet restrictions, monitor competitors, or run web scraping tools.

In this guide, we'll explore everything you need to know about backconnect proxies, how they work, and what benefits you're in for. Shall we begin?

Google Sheets is a powerful tool that hosts various data management and analysis features. While it usually deals with information already gathered elsewhere, few know that Sheets have built-in functions that can also gather website data on their own! This article will explore the many benefits of using Google Sheets for web scraping and how to build a powerful in-house web scraping machine without ever leaving your browser window.

Since the late 2000s, web scraping has become essential for extracting public data, giving a competitive edge to those who use it. A common challenge is scraping pages with delayed data loading due to dynamic content, which traditional tools often struggle with. Fortunately, Selenium Python web scraping can effectively handle this issue. In this blog post, you'll learn how to scrape dynamic web data with delayed JavaScript rendering using Python and the Selenium library, with a complete code example and a video tutorial available at the end.