If you are looking to automate your keyword research, then Google Trends and Python can be powerful tools to help you gain valuable insights into the terms that your customers are searching for. By combining these two tools, you can quickly and easily identify the most popular keywords in your industry, as well as uncover new opportunities for targeting and optimizing your content.

The first step to automating your keyword research is to use Google Trends to identify the most popular terms in your industry. To do this, simply type in the keywords or phrases you are interested in and see what terms are trending in your industry. You can also narrow down your results by region or time period. Once you have identified the most popular terms, you can use Python to automate the process.

Python is a great tool for automating keyword research, as it provides a simple way to quickly and easily analyze large amounts of data. For example, you can use Python to analyze the search volume of popular terms in your industry over time, or to identify the most popular terms in different regions. You can also use Python to identify emerging trends in your industry that may be worth exploring further.

Once you have identified the terms that are trending in your industry, you can use Python to automate the process of optimizing your content for these terms. For example, you can use Python to quickly identify which pages on your website are ranking for popular keywords and then optimize those pages to target specific keywords and phrases. You can also use Python to automate the process of monitoring the performance of your keywords and adjusting your content accordingly.

By combining Google Trends and Python, you can automate your keyword research and gain valuable insights into the terms that your customers are searching for. With the right tools and strategies, you can quickly and easily identify opportunities for targeting and optimizing your content, as well as monitor the performance of your keywords over time.

With the help of Python, SEOs can automate tedious tasks like keyword research and gain insights more quickly and accurately. This article will discuss how to automate keyword research with Google Trends and Python and provide examples of some of the top-taught leaders in SEO who use Python to automate task and get the work done faster.

Python Script to Automate Keyword Research with Google Trends

Google Trends is a powerful tool for gaining insights into the popularity of specific keywords over time. It can be used to compare the popularity of different keywords or to see how the popularity of a keyword has changed over time. By combining Google Trends with Python, SEOs can automate the process of keyword research and gain insights more quickly and accurately.

Python can be used to access the Google Trends API and collect data on specific keywords. For example, the following Python script by General Mils who used the Unofficial API for Google Trends and return the popularity of a specific keyword over time: Source – https://github.com/GeneralMills/pytrends

pip install pytrends
from pytrends.request import TrendReq
pytrends = TrendReq(hl='en-US', tz=360)
kw_list = ["data science course"]
pytrends.build_payload(kw_list, cat=0, timeframe='now 1-d', geo='IN', gprop='')
pytrends.related_queries()

1. The first line of code is using the “pip” package manager to install the “pytrends” library.
2. The second line of code is importing the “TrendReq” function from the “pytrends” library.
3. The third line of code is creating an instance of the “TrendReq” function and setting the language to “en-US” and the timezone to “360”.
4. The fourth line of code is creating a list of keywords and setting it to “data science course”.
5. The fifth line of code is using the “build_payload” function to create a payload with the keywords, category, timeframe, geographical location, and Google property.
6. The sixth line of code is using the “related_queries” function to get related queries for the keywords.

Output for the above query – to get related and rising searches related to ‘data science course’ from the India region.

Once the data is collected, it can be further analyzed and used to identify trends or patterns in keyword popularity. By automating the keyword research process, SEOs can quickly and accurately gain insights into the popularity of specific keywords over time.