Using Python + Streamlit To Find Striking Distance Keyword Opportunities - Search Engine Journal

Learn how to use a Python script + Streamlit app to identify striking distance keyword opportunities – no coding knowledge required!

See which organic keywords actually drive conversions

Replace (not provided) with actual keywords and monitor their specific performance metrics in Google Analytics.

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Python is an excellent tool to automate repetitive tasks as well as gain additional insights into data.

In this article, you’ll learn how to build a tool to check which keywords are close to ranking in positions one to three and advises whether there is an opportunity to naturally work those keywords into the page.

It’s perfect for Python beginners and pros alike and is a great introduction to using Python for SEO.

If you’d just like to get stuck in there’s a handy Streamlit app available for the code. This is simple to use and requires no coding experience.

There’s also a Google Colaboratory Sheet if you’d like to poke around with the code. If you can crawl a website, you can use this script!

Here’s an example of what we’ll be making today:

These keywords are found in the page title and H1, but not in the copy. Adding these keywords naturally to the existing copy would be an easy way to increase relevancy for these keywords.

By taking the hint from search engines and naturally including any missing keywords a site already ranks for, we increase the confidence of search engines to rank those keywords higher in the SERPs.

This report can be created manually, but it’s...

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