gtrends | A Google Trends Analytics Package | Machine Learning library

gtrends is a Python library typically used in Artificial Intelligence, Machine Learning applications. gtrends has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub, GitLab.

Inspired by this reddit post, I wanted to build a simple platform to pull data from Google Trends. The author made the interesting choice not to normalize the data (i.e., that the value of popularity does not represent the same amount of search volume across each category). While this means that it does not compare the actual popularity of the social networks, it does elucidate where the networks' popularity happens to spike in the context of other networks' popularity. I built in an option that allows you to specify whether to normalize or not. The get() function is multiprocessed, thus multiple keywords will be handled concurrently to speed up data collection routines. The number of processes depends on the number of keywords passed, however, Google may rate limit overly ambitious requests. The script checks if the requested data already exists in the output folder before making new queries.