Video: How to Scrape Images From Websites With Python

Data is the new oil, which helps drive businesses and make better-informed decisions. For a long time, companies relied on traditional data (usually gathered internally or from official sources) to predict overall market trends, analyze competitors, and understand customer behavior. 

However, alternative data has become the new cool, which can aid almost any business, investors, financial institutions, or just simple people like you and me. And with proper proxies, gathering such data is a piece of cake. 

Google Maps is a beautiful tool that allows anyone to travel the world with their eyes and see many fascinating things. If you’re a nomad, it’s your go-to companion in finding the next destination. But if you’re a data collection enthusiast, you should be excited about the potential data that Google Maps holds. In this blog post, we’ll discuss the benefits of scraping Google Maps, provide a comprehensive guide on how to do it using Python and our residential proxies, and introduce our ready-made scraper for those who prefer not to code.