In this guide, we'll import Google Search Console data to Airtable. We'll use the Data Fetcher Airtable app to connect to Google Search Console and pull in metrics such as impressions, position and clicks. Finally, we'll schedule this to run automatically on a schedule.
Install Data Fetcher from the Airtable app marketplace. After the app launches, sign up for a free Data Fetcher account by entering a password and clicking 'Sign up for free'.
On the home screen of the Data Fetcher app, click 'Create your first request'. Requests in Data Fetcher are how you import data to or send data from your Airtable base.
On the create request screen in Data Fetcher, for Application, select 'Google Search Console'.
Click 'New Google Search Console Connection'. You will be taken to a new tab/window where you need to authorize Data Fetcher to access your Google Search Console account. Select the Google account you want to import Google Search Console data from. On the next screen, make sure you enable the View Search Console data for your verified sites checkbox before clicking 'Continue'.
You should be back in the Data Fetcher with the Google Search Console connection set up.
Enter a Name for your request, e.g. 'Import GSC Metrics'. Then click 'Save & Continue'.
Select the Site you want to import data for. These correspond to the properties you see in Google Search Console. Domain properties will be prefixed with
Select the Date range you want to import data for, e.g. 'Last month'. There is a 2 day delay before data is available from Google Search Console.
Select a value for Split by to split the data into different records. e.g. select 'Date' to get a different record for each date or 'Page' to get a different record for each page.
Select the Output Table & View you want to import Google Search Console data into.
Click 'Save & Run'.
The request will run and the Response field mapping modal will open. This is where you set how the fields from Google Search Console should map to fields in the output table. For each Google Search Console field, you can either import or filter it. For an imported field, you can set whether to map them to an existing field or create a new field. Once you are happy, click 'Save & Run'.
Data Fetcher will create any fields that need to be created in the output table, then run the request and import the data from Google Search Console to Airtable.
If you want to run the request again, simply click 'Run'. If nothing has changed, you will not need to set up the response field mapping again.
At the moment, we have to manually run the request to import the metrics from Google Search Console. We can use Data Fetcher's scheduled requests feature to automatically import the metrics every month.
In Data Fetcher, scroll to Schedule and click 'Upgrade'.
A new tab will open where you can select a plan and enter your payment details to upgrade.
Return to the Data Fetcher app and click "I've done this".
Click 'Add API key' in order to add your Airtable API key. You can find your Airtable API key here. You API key is securely stored on Data Fetcher's servers.
Enter your Airtable API key and click 'Save'.
Enable Schedule this request.
Select how often you want the request to run, e.g. 'Every Month'. Then choose the 3rd day of each month to get around the 2-day reporting delay. Click 'Save'. The request will automatically pull in Google Search Console data for the last month on the 3r of each month.