Keyword Research with Python

Google Trends is a keyword research tool that helps the researchers, bloggers, digital marketers and some more people in the digital industry to find how often a keyword is entered into Google search engine over a given period. Google Trends is used for keyword research mostly is writing articles on hot topics. In this article, I’ll walk you through how to perform keyword research with python to find the hottest topics and keywords.

I will use the Google API to access Google trends which can be done by using the pytrends library in python. Python being a general-purpose programming language provides libraries and packages for almost every task. pytrends can be easily installed by using the pip command – pip install pytrends. I hope that you have easily installed this package, now let’s start with the task of keyword research with python.

Keyword Research with Python

You need to log in to Google first because, after all, we ask Google Trends for trending topics. For that, we need to import the method called TrendReq from the pytrends.request method:

import pandas as pd from pytrends.request import TrendReq import matplotlib.pyplot as plt trends = TrendReq()

Keyword Interest By Region

Let’s see the terms that are popular in the region around the world. I will choose the term to search for as “Data Science”:

trends.build_payload(kw_list=["Data Science"]) data = trends.interest_by_region() print(data.sample(10))
Data Science
geoName
Malaysia 29
Canada 35
Bolivia 0
Gabon 0
Panama 0
United Kingdom 30
Isle of Man 0
French Southern Territories 0
Eswatini 0
Israel 23

Values ​​are calculated on a scale of 0 to 100, where 100 is the most popular location as a fraction of the total searches for that location, a value of 50 indicates a location half as popular. Now let’s visualize the above search results to get better insights:

df = data.sample(15) df.reset_index().plot(x="geoName", y="Data Science", figsize=(120,16), kind="bar") plt.show()
Keyword research with python

Keyword Research with Python for Daily Search Trends

Now let’s take a look at the top daily search trends around the world. To do this, we need to use the trending_searches () method:

data = trends.trending_searches(pn="india") print(data.head(10))
0 Indian flag
1 SPB
2 Independence Day speech
3 Happy Independence Day 2020
4 Happy Independence Day Images
5 Prashant Bhushan
6 Niharika Konidela
7 UGC
8 August 15
9 Flag

Google Keyword Suggestion

Now, let’s see how we can get the google keywords suggestion for keyword research with python. Keywords are those words that are mostly typed by users in the search engine to find about a particular topic:

keyword = trends.suggestions(keyword="Programming") data = pd.DataFrame(keyword) print(data.head())
mid title type 0 /m/01t6b C Programming language 1 /m/025sbhf Software development Topic 2 /m/07sbkfb Java Programming language 3 /m/0z5n Application programming interface Kind of software 4 /m/01mf_ Computer programming Topic

Also, Read – How to Earn Money with Programming?

I hope you liked this article on Keyword research with python. Feel free to ask your valuable questions in the comments section below. You can also follow me on Medium to learn every topic of Machine Learning. 

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