![]() The code is quite simple, but I am going to explain each of the steps so that you can understand it and adapt it if you wish.įirst, we have to load the different libraries. If you are interested in the details of the code (made in Python), you can continue reading. If you are not interested in knowing how to perform this extraction and you are only interested in the result, you can access directly to the Google Colab I created and follow the instructions. The best part? You can scrape without complex configuration. It’s true, however there is an API that allows us to speed up the process a bit. It is interesting, but extracting data from this tool manually can be tedious. So does Google, which is why it suggests it to me. And look what appears if I indicate “uefa”:Īlthough no tool will indicate an interesting search volume for this search, I know it will have plenty over the next few days. I write this article hours after the announcement of the potential creation of the super league. When you start searching for something on Google, suggestions usually appear based on:īut it also takes into account current trends. What is Google Suggest?Įveryone is using Google Suggest, most without even knowing it. There are several tools to help us in this task, however we tend to overlook the most obvious one: Google Suggestions. Why? Because it is easier to get results if we get there first and we must always adapt to the changing behavior of our customers. If you work as an SEO consultant, one of your missions is to understand how the market evolves in order to adapt your strategy.
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