Feedly and Microsoft Power BI Integration

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Feedly + Microsoft Power BI integration

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Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Feedly and Microsoft Power BI

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

Add the Feedly Node

Select the Feedly node from the app selection panel on the right.

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Configure the Feedly

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

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Add the Microsoft Power BI Node

Next, click the plus (+) icon on the Feedly 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.

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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.

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Configure the Feedly 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.

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

Most powerful ways to connect Feedly and Microsoft Power BI

Feedly + Google Sheets + Microsoft Power BI: Track new articles in Feedly based on specified keywords, log the article details in Google Sheets, and then update a Power BI dashboard to visualize the news trends.

Microsoft Power BI + Feedly + Slack: When a new dataset is created in Power BI, Feedly searches for related news articles. A summary of these articles is then sent to a designated Slack channel.

Feedly and Microsoft Power BI integration alternatives

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.

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.

See how Latenode works

FAQ Feedly and Microsoft Power BI

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

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

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

Can I track trending topics in Feedly and visualize them in Power BI?

Yes, you can! Latenode lets you automate the data flow, sending Feedly article data to Power BI for advanced analysis. Visualize trends and gain deeper insights without manual exports.

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

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

  • Automatically updating Power BI dashboards with new Feedly article data.
  • Creating reports on trending topics based on Feedly content.
  • Visualizing content engagement from Feedly within Power BI reports.
  • Tracking competitor mentions in Feedly and analyzing their impact.
  • Building custom alerts in Power BI based on Feedly article criteria.

Can I filter specific keywordsfrom Feedly articles before sending to Power BI?

Yes, Latenode’s advanced filtering lets you pre-process Feedly data with code or AI before it reaches Power BI, ensuring only relevant insights are visualized.

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

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

  • Rate limits imposed by Feedly and Microsoft Power BI APIs may affect performance.
  • Complex data transformations may require custom JavaScript coding within Latenode.
  • Historical data retrieval from Feedly is subject to Feedly's API capabilities.

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