Microsoft Power BI and Feedly Integration

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Microsoft Power BI + Feedly integration

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Feedly

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Microsoft Power BI and Feedly

Create a New Scenario to Connect Microsoft Power BI and Feedly

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 Microsoft Power BI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft Power BI or Feedly will be your first step. To do this, click "Choose an app," find Microsoft Power BI or Feedly, and select the appropriate trigger to start the scenario.

Add the Microsoft Power BI Node

Select the Microsoft Power BI node from the app selection panel on the right.

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Configure the Microsoft Power BI

Click on the Microsoft Power BI node to configure it. You can modify the Microsoft Power BI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Sign In

Run node once

Add the Feedly Node

Next, click the plus (+) icon on the Microsoft Power BI node, select Feedly from the list of available apps, and choose the action you need from the list of nodes within Feedly.

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Authenticate Feedly

Now, click the Feedly node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Feedly settings. Authentication allows you to use Feedly through Latenode.

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Configure the Microsoft Power BI and Feedly Nodes

Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.

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Run node once

Set Up the Microsoft Power BI and Feedly Integration

Use various Latenode nodes to transform data and enhance your integration:

  • Branching: Create multiple branches within the scenario to handle complex logic.
  • Merging: Combine different node branches into one, passing data through it.
  • Plug n Play Nodes: Use nodes that don’t require account credentials.
  • Ask AI: Use the GPT-powered option to add AI capabilities to any node.
  • Wait: Set waiting times, either for intervals or until specific dates.
  • Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
  • Iteration: Process arrays of data when needed.
  • Code: Write custom code or ask our AI assistant to do it for you.
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Save and Activate the Scenario

After configuring Microsoft Power BI, Feedly, 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 Microsoft Power BI and Feedly integration works as expected. Depending on your setup, data should flow between Microsoft Power BI and Feedly (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Microsoft Power BI and Feedly

Feedly + Google Sheets + Microsoft Power BI: Track new articles from Feedly based on a specific feed. When a new article appears, add it to a Google Sheet. Use Power BI to then analyze the data in the Google Sheet for trend visualization.

Microsoft Power BI + Feedly + Slack: When Power BI detects a new dataset based on Feedly data, send a message to a Slack channel notifying the team of the trend.

Microsoft Power BI and Feedly integration alternatives

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.

About Feedly

Aggregate and filter Feedly articles within Latenode to automate content-driven workflows. Track brand mentions, industry trends, or competitor activity, then instantly trigger actions like posting to social media, updating databases, or notifying teams—all based on custom rules and logic.

See how Latenode works

FAQ Microsoft Power BI and Feedly

How can I connect my Microsoft Power BI account to Feedly using Latenode?

To connect your Microsoft Power BI account to Feedly on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Microsoft Power BI and click on "Connect".
  • Authenticate your Microsoft Power BI and Feedly accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I visualize Feedly article trends in Power BI?

Yes, you can! Latenode enables seamless data transfer, letting you analyze Feedly trends in Power BI. Gain actionable insights from your content consumption patterns with no-code automation.

What types of tasks can I perform by integrating Microsoft Power BI with Feedly?

Integrating Microsoft Power BI with Feedly allows you to perform various tasks, including:

  • Automatically updating Power BI dashboards with new Feedly articles.
  • Tracking trending topics from Feedly in real-time within Power BI.
  • Creating reports on article engagement based on Feedly data.
  • Visualizing content consumption patterns using Power BI charts.
  • Sending daily summaries of top Feedly articles to Power BI.

Can I use custom JavaScript with the Microsoft Power BI integration?

Yes! Latenode allows you to enhance your integration with JavaScript. Transform data or trigger custom actions for advanced automation.

Are there any limitations to the Microsoft Power BI and Feedly integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Data transfer limits may apply based on your Microsoft Power BI and Feedly plans.
  • Real-time updates are subject to the API rate limits of both services.
  • Complex data transformations may require JavaScript coding for optimal results.

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