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Google Search Console Power BI

Connect Google Search Console to Power BI

Send Google Search Console search results performance, search results performance by appearance, discover performance and 2 more report types to Power BI on a schedule. Choose metrics and dimensions, filter by date and narrow it down by search results type. Refresh as often as every 15 minutes.

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Google Search Console report Data source: Google Search Console
Build Power BI reports on Google Search Console data that Coupler.io keeps up to date.
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How to connect Google Search Console and Power BI

7 steps. You can preview the Google Search Console data in Coupler.io before anything reaches Power BI.

Step 1 of 7

Connect Google Search Console

Sign in to Google Search Console and authorize Coupler.io. There's no API key to copy.

Sign in with Google Search Console

Step 2 of 7

Choose what to export

Pick the Google Search Console data you want in Power BI.

SitesNot setSpecify sites from where you want to extract data.
Inspection URLsNot setEnter a list of URLs you want to get report for, specifying each one in a new line.

Step 3 of 7

Set the report period

Choose the date range the report covers.

Start dateAny dateSpecify the start date of the analytics period.
End dateAny dateSpecify the end date of the analytics period.

Step 4 of 7

Dimensions

DimensionsNot setSelect one or more values for “dimensions”, e.g. “Date”, “Country”, “Device”, “Page”, “Query”.
Filters by dimensionsNot set

Step 5 of 7

Fine-tune the export

Optional settings for this Google Search Console export.

Search results typeNot setSelect search type to filter results by it.
Aggregate data byNot setSelect a value for “aggregate data by”, e.g. “Auto”, “Page”, “Property”.
Data stateNot setSelect what data you want to be included in report.

Step 6 of 7

Connect Power BI

Copy the integration URL Coupler.io generates, run the data flow once, then paste the URL into Power BI Desktop under Get Data, Web.

Data set to shareSearch results performanceThe data view Power BI reads
Integration URLhttps://app.coupler.io/export/w/123456.json?access_token=••••••••Paste into Get Data, Web in Power BI Desktop

Step 7 of 7

Choose a write mode and schedule

Every run either replaces or appends the data in Power BI. Run it as often as every 15 minutes.

Write mode

Each run overwrites all data at the URL with fresh Google Search Console data.

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Get the most of Google Search Console to Power BI integration

Gather data icon

Gather data

Export data from numerous apps and sources into a single destination. Blend data from different apps to get a single source of truth.
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Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
Automate data icon

Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
Google Search Console to Power BI questions

5 report types, including Search results performance, Search results performance by appearance, Discover performance, Google News performance and URLs index performance.

You sign in to Google Search Console and authorize Coupler.io. There's no API key to copy.

Yes. Set the start date and end date to cover the period you need.

Yes. Pick from 5 dimensions.

Yes. Available filters include search results type. You can also add your own filter conditions.

Coupler.io gives you a JSON integration URL. In Power BI Desktop, choose Get Data, then Web, and paste the URL.

Yes. Coupler.io updates the Google Search Console data on its schedule, and Power BI reads it on its own. Schedule the Power BI refresh to run after the Coupler.io one.

On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.

Yes. Add more sources to the same data flow, for example GoHighLevel or Google Ads, and join or append them before the data reaches Power BI.

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