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Analyze search data from Google Programmable Search Engine in Microsoft Power BI to extract insights. Latenode's visual editor and affordable execution-based pricing make it easier to build and scale custom reporting automations. Refine data analysis with JavaScript when needed.
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Create a New Scenario to Connect Google Programmable Search Engine and Microsoft Power BI
In the workspace, click the “Create New Scenario” button.
Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Google Programmable Search Engine, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Programmable Search Engine or Microsoft Power BI will be your first step. To do this, click "Choose an app," find Google Programmable Search Engine or Microsoft Power BI, and select the appropriate trigger to start the scenario.
Add the Google Programmable Search Engine Node
Select the Google Programmable Search Engine node from the app selection panel on the right.
Google Programmable Search Engine
Configure the Google Programmable Search Engine
Click on the Google Programmable Search Engine node to configure it. You can modify the Google Programmable Search Engine URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Microsoft Power BI Node
Next, click the plus (+) icon on the Google Programmable Search Engine node, select Microsoft Power BI from the list of available apps, and choose the action you need from the list of nodes within Microsoft Power BI.
Google Programmable Search Engine
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Microsoft Power BI
Authenticate Microsoft Power BI
Now, click the Microsoft Power BI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft Power BI settings. Authentication allows you to use Microsoft Power BI through Latenode.
Configure the Google Programmable Search Engine and Microsoft Power BI Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Google Programmable Search Engine and Microsoft Power BI Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Microsoft Power BI
Trigger on Webhook
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Google Programmable Search Engine
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Programmable Search Engine, Microsoft Power BI, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Google Programmable Search Engine and Microsoft Power BI integration works as expected. Depending on your setup, data should flow between Google Programmable Search Engine and Microsoft Power BI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Google Programmable Search Engine + Google Sheets + Microsoft Power BI: Queries to Google Programmable Search Engine are saved to a Google Sheet. Power BI then uses the data from the Google Sheet to update a dataset for trend analysis and visualization.
Microsoft Power BI + Google Programmable Search Engine + Slack: Power BI monitors data for anomalies. When an anomaly is detected, the related search terms from Google Programmable Search Engine are retrieved, and a notification is sent to a Slack channel.
About Google Programmable Search Engine
Use Google Programmable Search Engine in Latenode to build focused search workflows. Automatically extract data from specific sites, monitor brand mentions, or gather research. Combine it with AI nodes to analyze results, filter noise, and deliver actionable insights without manual crawling. Integrate with any app through Latenode’s flexible API.
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About Microsoft Power BI
Use Power BI in Latenode to automate report generation and data analysis. Trigger report refreshes based on real-time events, then use Latenode to share insights across your team via Slack, email, or other apps. Automate your analytics pipeline and react faster, without manual Power BI updates. Latenode adds scheduling and distribution.
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How can I connect my Google Programmable Search Engine account to Microsoft Power BI using Latenode?
To connect your Google Programmable Search Engine account to Microsoft Power BI on Latenode, follow these steps:
Can I visualize search trends in Power BI?
Yes, you can! Latenode's visual editor simplifies data transfer from Google Programmable Search Engine to Microsoft Power BI, letting you build real-time dashboards with custom search insights effortlessly.
What types of tasks can I perform by integrating Google Programmable Search Engine with Microsoft Power BI?
Integrating Google Programmable Search Engine with Microsoft Power BI allows you to perform various tasks, including:
How do I handle large datasets from Google Programmable Search Engine?
Latenode offers robust data handling capabilities, enabling you to efficiently process and transfer extensive datasets without performance bottlenecks, ensuring seamless data integration.
Are there any limitations to the Google Programmable Search Engine and Microsoft Power BI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: