In the second part of this extract from Chapter 10 of Scraping for JournalistsI recap the basics before discussing techniques to use in looking for patterns in data, and how regex can deal with non-textual characters such as spaces and carriage returns, special characters such as backslashes, and ‘negative matches’. You can find the first part here.
The following is the first part of an extract from Chapter 10 of Scraping for Journalists. It introduces a particularly useful tool in scraping – regex – which is designed to look for ‘regular expressions’ such as specific words, prefixes or particular types of code. I hope you find it useful.
To do this, you’ll need to install the free scraping tool OutWit Hub. Regex can be used in other tools and programming as well, but this tool is a good way to learn it without knowing any other programming. Continue reading →