Web scraping has been used to extract data from websites almost from the time the World Wide Web was born. In the early days, scraping was mainly done on static pages – those with known elements ...

How to Analyze Our Results in Data Studio Now that you have your new Data Studio report implemented, it’s time to make sense of all this data. What we’re looking for are patterns.

Discover how you can come up with powerful visualization and data stories by piggybacking on other popular data visualizations.

It’s common for data to be presented in HTML tables — for instance, that’s how California’s Franchise Tax Board reports the top 250 taxpayers with state income tax delinquencies.

There are three methods to scrape data, which should be chosen based on the complexity and type of the data being scraped. These are HTML, XML, and RSS (with no Python needed).

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The battle has been going on for a while, but there are signs that there is no let-up in the need to fight bad bots, says Spencer Young, EMEA RVP at Imperva.

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.