Pytrends - unofficial API for Google Trends - and trend analysis formula are going to be the topic of this post. First time I heard about the way of calculating search interest using Pytrends and slope formula was when I read Paul Shapiro’s post on the same topic. I tried to use the script from his post, but with no success. The reason for this I guess is because there were changes on Google’s backend after the script was published.
The following post is an attempt to find a way of analysing competitors’ backlinks using Python as the main analysis tool. It was inspired by Will Nye’s post How to undertake large-scale competitive link analysis. In his post he gives us an Excel solution for this task, mentioning at the end that “it may be best to use SQL, R or Python.” While the suggested solution works perfectly if followed his instructions, I wanted to look for a Python solution, mainly to overcome scalability limitations of Excel.