Filtering Google Analytics (GA) Data by Post_date using Python

Filtering Google Analytics (GA) Data by Post_date using Python

GA is great but ever wondered how to get your stats for content created on a certain date or within a data range? Python to the rescue!

If you manage any social media channels, especially if it’s not your personal but your employer’s official account, sometimes, you might struggle to come up with new content. That’s totally normal, it can be really demanding to publish engaging stuff on a daily basis.

Towards the end of the year what you can do is to review your website’s content and see which articles, resources, and pages have been the most popular and simply re-share the top 10 published content.

OK, but how do I know how my content is performing?

Well, you need to have some kind of analytical tool connected to your website, probably it will be Google Analytics (GA) and then you can explore your stats. But there is just one tiny problem. Out of the box, you cannot filter your content by post_date. There are a few solutions out there, for example, to use Google’s Tag Manager to add in post_date as a custom dimension as outlined in this blog post, but based on your setup this might not be possible. Today we are going to use Python to overcome this issue, which might not be the easiest solution, but hey, if you really want to get serious about your data, you will eventually want to use the GA API and Python’s excellent data wrangling and analysis libraries.

For this tutorial, you will also need access to your website’s CMS database, in my case, a WordPress SQL database, and install a few Python packages like:

conda install -c conda-forge python-dotenv #OPTIONAL
conda install -c conda-forge pandas #PROBS YOU ALREADY HAVE THIS
conda install -c conda-forge google-api-python-client
conda install -c conda-forge oauth2client
conda install -c condo-forge ipython-sql #FOR IPYTHON MAGIC
conda install -c anaconda sqlalchemy #PYTHON SQL TOOLKIT
## Plus you need to install the DBAPI driver for whatever connection you will use. Here is a nice tutorial.

Also to follow along, you would want to use Jupyter Notebook as some of the syntaxes will be specific to it.

seo wordpress pandas python

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