Learn how to identify keywords your pages are close to ranking for using this simple Python SEO script, with step-by-step instruction.
See which organic keywords actually drive conversions
Replace (not provided) with actual keywords and monitor their specific performance metrics in Google Analytics. Stop flying blind on essential SEO insights.
Using Python to automate SEO processes can be intimidating for new users – at least, at first.
In this column, you’ll find an easy-to-use script you can download and run on your own site(s) just following along with the instructions.
If you can crawl a website and export a list of keywords, you can use this script. It’s perfect if you’re just learning Python.
And if you’re feeling more adventurous, you can follow along with the code breakdown and explanations.
This Python script reduces the amount of time it takes to find these opportunities by removing most of the manual work.
It even takes care of the initial data analysis by checking if the opportunities are valid.
This is helpful for anyone with a medium/large website, as well as agencies that would like to automate this process for a large number of clients in a short amount of time.
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...
Read Full Story: https://www.searchenginejournal.com/python-seo-striking-distance/423009/
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