Fetching Google Trends Data with pytrends

Introduction

pytrends is a library for fetching data from Google Trends.

GitHub - GeneralMills/pytrends: Pseudo API for Google Trends

Pseudo API for Google Trends . Contribute to GeneralMills/pytrends development by creating an account on GitHub.

https://github.com/GeneralMills/pytrends

Installation

This assumes pipenv is already set up.

$ pipenv install pytrends

Get started

First, let’s try running it. Let’s fetch the search terms that are trending in Japan today.

from pytrends.request import TrendReq

pytrends = TrendReq(hl="ja-JP", tz=360)

print(pytrends.trending_searches(pn="japan"))

The output looks like this.

We were able to fetch the recent trends.

Fetching real-time trends

To fetch real-time trends, use realtime_trending_searches.

print(pytrends.realtime_trending_searches(pn="JP"))

The return value is a pandas.DataFrame.

Summary

I tried out pytrends, a library for fetching Google Trends data. By combining it with existing techniques, you might be able to use it for trend analysis, prediction, and more.