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Category: data

Web Scraping Basics: A Developer’s Guide To Reliably Extract Data

The web is complex and constantly changing. It is one of the reasons why web data extraction can be difficult, especially in the long term. It’s necessary to understand how a website works really well, before you try to extract data. Luckily, there are lots of inspection and code tools available for this and in this article we will show you some of our favorites.

Web Data Analysis: Exposing NFL Player Salaries With Python

Football. From throwing a pigskin with your dad, to crunching numbers to determine the probability of your favorite team winning the Super Bowl, it is a sport that's easy to grasp yet teeming with complexity. From game to game, the amount of complex data associated with every team - and every player - increases, creating a more descriptive, timely image of the League at hand.

By using web...

Scraping Infinite Scrolling Pages

Welcome to Scrapy Tips from the Pros! In this monthly column, we share a few tricks and hacks to help speed up your web scraping activities. As the lead Scrapy maintainers, we’ve run into every obstacle you can imagine so don’t worry, you’re in great hands. Feel free to reach out to us on Twitter or Facebook with any suggestions for future topics.