How to send data from Google Search Console to BigQuery

Follow the steps below to send data from Google Search Console to BigQuery:

Step-1: Navigate to your BigQuery account: https://console.cloud.google.com/bigquery

Step-2: At the top of your screen click on the drop-down menu:

Step-3: Click on the ‘New Project’ button:

We are going to use this new project for collecting and querying Google Search Console data in BigQuery.

Step-4: Name your new project. 

Step-5: Change the project ID to something more recognizable (optional) and then click on the ‘Create’ button:

Step-6: Click on the ‘Select project’ link on the top right-hand side of your screen:

You are now in the ‘Google Search Console’ project.

You will know that you are in the right project because the project name will appear at the top of your screen:

Step-7: Click on the Google Search Console project ID:

Step-8: Click on ‘Create dataset’ button:

Step-9:  Name your data set (e.g. ‘Search_Console_Dataset’) and then click on the ‘Create dataset’ button:

You now need to use a third-party solution (connector) for sending Google Search Console data to BigQuery. 

You can either search for such third-party solutions online or use the one that I use which is ‘Supermetrics for BigQuery‘. They provide a free 14 days trial of their solution. No credit card required.

Step-10: Navigate to ‘Supermetrics for BigQuery‘ page.

Step-11: Click on the ‘Start a free trial’ button:

Step-12: Fill out the form and then click on the ‘Send’ button:

You should now be redirected to the page like the one below in your Google Cloud Platform account:

Step-13: Click on the ‘Select a project’ drop-down menu:

Step-14: Click on ‘Google Search Console’ project:

Step-15: Type ‘supermetrics google search console’ in the search box:

Step-16: Press the enter key and then click on ‘Google Search Console by Supermetrics’ connector:

Step-17: Click on the ‘Enroll’ button:

You should now see the ‘Data Source enrolled‘ status:

Step-18: Click on the ‘Configure transfer’ button:

You should now see a screen like the one below which is about creating Google Search Console data transfer:

Step-19: Keep the data source  (‘Google Search Console by Supermetrics’) intact and move on to the next step:

Step-20: Type an easy to recognize name for the ‘Transfer config name’ field:

Step-21: Keep the scheduling option to ‘Start now’ unless you want to change it:

Step-22: Keep the ‘Repeats’ setting to ‘Daily’ (unless you want to change it) to have new data added once a day:

Step-23: Select the data set you created earlier for Google Search Console from the drop-down menu:

We are going to use this data set for storing Google Search Console data in BigQuery.

Step-24: Click on the ‘Connect source’ button:

Step-25: Click on the ‘Accept Agreement’ button:

Step-26: Click on ‘Sign in with Google’ button:

Step-27: Click on the name of the Google account which is associated with your BigQuery project:

Step-28: Click on the ‘Authorize with Google Search Console’ button:

Step-29:  Click on the name of the Google account which is associated with your Google Search Console account:

Step-30: Click on the ‘Allow’ button:

Step-31: Click on the ‘Continue’ button:

Step-32: Select your Google Search Console account from the ‘Accounts’ drop-down menu:

Step-33: Change the ‘General Settings’ if you like and/or click on the ‘Submit’ button:

You should now see the ‘Source Connected‘ message just below ‘Third party connection‘:

Step-34: Click on the ‘SAVE’ button to save the transfer and also start the initial data transfer:

You should now see a screen like the one below:

Google Search Console to BigQuery

Step-35: Wait for the data transfer to complete.

When the data transfer is complete, you see the message ‘The transfer run has completed successfully’:

Step-36: Click on the ‘SQL workspace’ link from the left-hand side navigation:

Step-37: Navigate to the data set named ‘Search_Console_Dataset(which we created earlier).

This data set list all the data tables automatically created by supermetrics:

Step-38: Click on the data tables one by one to see what data it contains.

For example, lets click on the data table named ‘SEARCHCONSOLE_STANDARD_‘:

Step-39: Query the data table by clicking on the ‘Query Table’ button:

Step-40: Enter your SQL query and query the Search Console data you need:

That’s how you can send Google Search Console data to BigQuery.

Other articles on Google Analytics BigQuery

  1. Advantages of using Google BigQuery for Google Analytics
  2. Cost of using BigQuery for Google Analytics
  3. Guide to BigQuery Cost optimization
  4. What is Google BigQuery Sandbox and how to use it
  5. Understanding the BigQuery User Interface
  6. Sending data from Google Analytics to BigQuery without 360
  7.  How to connect GA4 (Google Analytics 4) with BigQuery
  8. events_& events_intraday_ tables in BigQuery for GA4 (Google Analytics 4)
  9. Using Google Cloud pricing calculator for BigQuery
  10. How to access BigQuery Public Data Sets
  11. How to use Google Analytics sample dataset for BigQuery
  12. Connect and transfer data from Google Sheets to BigQuery
  13. How to query Google Analytics data in BigQuery
  14. How to send data from Google Ads to BigQuery
  15. What is BigQuery Data Transfer Service & how it works.
  16. How to send data from Facebook ads to BigQuery
  17. How to pull custom data from Google Analytics to BigQuery
  18. Best Supermetrics Alternative – Dataddo
  19. Google Analytics BigQuery Tutorial
  20. How to backfill Google Analytics data in BigQuery

Register for the FREE TRAINING...

"How to use Digital Analytics to generate floods of new Sales and Customers without spending years figuring everything out on your own."



Here’s what we’re going to cover in this training…

#1 Why digital analytics is the key to online business success.

​#2 The number 1 reason why most marketers are not able to scale their advertising and maximize sales.

#3 Why Google and Facebook ads don’t work for most businesses & how to make them work.

#4 ​Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.

#5 The number 1 reason why conversion optimization is not working for your business.

#6 How to advertise on any marketing platform for FREE with an unlimited budget.

​#7 How to learn and master digital analytics and conversion optimization in record time.



   

My best selling books on Digital Analytics and Conversion Optimization

Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.

Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.

Attribution Modelling in Google Analytics and Beyond
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.

Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.

About the Author

Himanshu Sharma

  • Founder, OptimizeSmart.com
  • Over 15 years of experience in digital analytics and marketing
  • Author of four best-selling books on digital analytics and conversion optimization
  • Nominated for Digital Analytics Association Awards for Excellence
  • Runs one of the most popular blogs in the world on digital analytics
  • Consultant to countless small and big businesses over the decade
error: Alert: Content is protected !!