Connect Data from Google Search Console to Looker
You can get your Google Search Console data into Looker to make more informed business decisions. This simple and quick guide gives you easy instructions on how you can extract your data and then analyze it.
Google Search Console
Google Search Console is a free service offered by Google that helps you monitor, maintain, and troubleshoot your site's presence in Google Search results. You don't have to sign up for Search Console to be included in Google Search results, but Search Console helps you understand and improve how Google sees your site.
Looker is a popular analytics tool that helps bring data and business teams together by making it quick and easy for everyone to explore and comprehend the data which drives business. Looker Analytics can integrate with any SQL database and data warehouse, like Greenplum and Amazon Redshift. From agile startups to large corporations, savvy companies can easily leverage Looker's amazing analysis capabilities to monitor the overall health of their businesses and also make more data-driven and sound decisions. Looker is great as it lets companies access, describe, control, explore, and visualize all their data across any web browser, on any device. Looker can help companies of all sizes use data to drive their business activities and decisions in the right direction.
Before loading your data into Looker, you will have to prep it first. If you don't already have a data structure in which to store the data you retrieve, you'll have to create a schema for your data tables. Then, for each value in the response, you'll need to identify a predefined datatype (INTEGER, DATETIME, etc.) and build a table that can receive them. Google Ecommerce's documentation should tell you what fields are provided by each endpoint, along with their corresponding datatypes.Complicating things is the fact that the records retrieved from the source may not always be "flat" – some of the objects may actually be lists. In these cases you'll likely have to create additional tables to capture the unpredictable cardinality in each record.
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1. Create a new dashboard. 2.Create a new data source.3. Select the data source you want to export. 4.Authorize access to the data source. 5. Authorize access to the data source. 6.Select the property that contains the data to export and then choose the Tables (in the case of Search Console). 7. Accept the default fields by clicking 8. Add to Report.Add a Table for your report. 9.Configure the Table. The three important things are: Dimension (Controls the first column of the table), Metric (Controls the second column of the table) and Data Range (Controls the data range). You can add multiple Dimensions and Metrics for granular data. 10.When the table contains the data you need, go to View mode:
Although Looker does not connect directly to an Excel spreadsheet, there is a way to upload data via a derived table. This method works if you have a limited number of columns and rows, such as monthly forecasting data that is not very scalable for large spreadsheets. This data is also static and will not automatically update if the underlying spreadsheet data changes.
Keeping data up to date
If you've made it this far, congrats! You probably have a written a program or script to extract your data and move it into Looker. Now it's time to think about how you will keep this data up-to-date by loading updated or new data. Of course, you can just replicate all your data every time you have updated your records, but that would be extremely manual and time-consuming. Luckily there is a better way. The key is building your script so that it can sense incremental updates made to the data. Thankfully, Google Search Console’s API results include fields so that you can identify those records which are new since the last update you made (or since the most recent record you have copied). Once you have taken new data into consideration, you can easily set your script either as a continuous loop or cron job to pull down new data as soon as it appears. And keep in mind that, as with most codes, once you write it, you will need to maintain it. In case Google Search Console changes its API, or if the API sends a field containing a data type that your code does not recognize, you might have to change the script.
The Easiest And Fastest Way To Do It
If all this sounds a bit overwhelming, don't worry -- there is an easier way to get this done! Thankfully, products like Improvado were developed to move data from Google Search Console to Looker automatically. Using Improvado, you can easily combine the most crucial and relevant data from your ad campaign into a dashboard. You can then connect this data to Looker.