Screaming Frog Releases Tutorial for Automating Crawl Reports in Google Data Studio

Take a good 2 or 3 hours to implement this, and it’ll become soooo much easier to monitor your crawl statuses.
SIA Team
September 28, 2021

Last week, we reported that Screaming Frog announced an SEO spider update (to version 16.0). This seems to have been a significant update, and even Google retweeted about it.

Yesterday, on the Google Analytics Twitter channel, there was a tweet about a Screaming Frog tutorial.

The tweet links to Screaming Frog’s tutorial, titled, How to Automate Crawl Reports In Data Studio.

This is significant, and if you’re familiar with Google Data Studio, then you know how much of a time savings this can be (especially over time). 

In case you’re not aware of Google Data Studio, I’d like to give a brief introduction. 

Google Data Studio is a platform where you can combine data from various sources. The term that applies to this is blended data, and it allows you to see data in a new, more complete way. 

I wrote an article on this, titled, Google Data Studio: Google Tweets New Article on Blended Data Sources. In that article, I used the example of combining the data from Google Analytics and Google Search Console. 

Well, with Screaming Frog, you now have another data source

The tutorial shows you how to set up Screaming Frog so that, at intervals you set, it crawls your site, appends data in Google Sheets. That appended data can then be made available in Google Data Studio.

The Big Benefit of More Data…If You Have the Wisdom to See It for What It Is

Having more data, if you have the wisdom to interpret that data, can be a great asset. With data comes (hopefully) information, and with wisdom and a creative way of looking at things, that information can become insights. 

Those insights can cause you to say, “Hey…now that we’ve put that and that together, something emerges.” That something may not be new, but just something that was always there, but that you hadn’t seen until now. 

It can be fun to have various members of your team look at your blended data, because perhaps different people can see things from different angles, and bring something new to the table. 

Source: Google Analytics Twitter channel