In order to continue advancing and to be able to extract all the data we want from Google Trends, we must take into account what we can call API methods.īasically, these are parameters that we use to define what we want to do with the request we make and to obtain a response. When executing the previous code we will see how different packages and libraries are installed. #Importamos las librerías que vamos a utilizar
ALTERNATIVES TO GOOGLE TRENDS INSTALL
To start with, we need to install pytrends in our Google Colab notebook and import the libraries we need. It allows us to extract data of all kinds related to the interest of users in a specific topic or query.Īs in Google’s own tool, we can extract i nformation at a global or geolocated level, in specific time periods and even based on our own categorization of queries.
Pytrends is an unofficial Google Trends API for Python. If you want more information about the origin and the data it shows, you will find it here. This tool presents samples of the requested data from the year 2004 to the present day, although it began to work a few years later, in 2006. Google Trends is a completely free tool where you can analyze the interest of a specific word or query over a specific period of time, either globally or geolocated.
What possibilities do the categories established by Google Trends offer us?.
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