Getting Started To get us started, you will need to start a new Python3 project with and install Scrapy (a web scraping and web crawling library for Python).

My go-to language for web scraping is Python, as it has well-integrated libraries that can generally handle all of the functionality required. And sure enough, a Selenium library exists for Python.

In this Nylon Calculus 101 post, Savvas Tjortjoglou introduces web scraping with Python to grab data for all draftees from the 1966 to 2014 NBA drafts.

Data scraping can lead to significant competitive advantages, but there are many considerations when looking to utilize this tool and strategy.

Web scraping is the act of programmatically harvesting data from a webpage. It consists of finding a way to format the URLs to pages containing useful information, and then parsing the DOM tree to … ...

Web scraping is usually only a first step towards extracting meaningful data. Once you’ve got everything pulled down, you’ve still got to process it into something useful. Here to assis… ...