Feedly and Baserow Integration

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Automatically save and organize Feedly articles in Baserow databases. Latenode's visual editor makes building this custom workflow easy, and affordable execution-based pricing allows for scaling it effortlessly.

Swap Apps

Feedly

Baserow

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Feedly and Baserow

Create a New Scenario to Connect Feedly and Baserow

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 Baserow will be your first step. To do this, click "Choose an app," find Feedly or Baserow, 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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Feedly

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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Sign In

Run node once

Add the Baserow Node

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

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Baserow

Authenticate Baserow

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

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Baserow

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Connect Baserow

Sign In

Run node once

Configure the Feedly and Baserow 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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Baserow Oauth 2.0

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The action ID

Run node once

Set Up the Feedly and Baserow 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, Baserow, 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 Baserow integration works as expected. Depending on your setup, data should flow between Feedly and Baserow (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 Baserow

Feedly + Baserow + Slack: When a new article appears in a Feedly feed, a new row is created in a Baserow database with the article details. A notification is then sent to a designated Slack channel to alert users of the new article.

Feedly + Baserow + Google Sheets: Tracks trending topics from Feedly by creating rows in Baserow. Then, periodically, the data from Baserow is summarized and added to a Google Sheet for reporting purposes.

Feedly and Baserow 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 Baserow

Use Baserow with Latenode to build flexible databases that trigger automated workflows. Update Baserow rows from any app, or use row changes to start complex flows. Perfect for managing data within Latenode automations without complex coding. Scale easily with Latenode’s efficient, pay-per-execution pricing.

See how Latenode works

FAQ Feedly and Baserow

How can I connect my Feedly account to Baserow using Latenode?

To connect your Feedly account to Baserow 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 Baserow accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I save Feedly articles to Baserow automatically?

Yes, you can! Latenode allows seamless data transfer between Feedly and Baserow. Automatically save articles, track trends, and build custom content databases with no coding required.

What types of tasks can I perform by integrating Feedly with Baserow?

Integrating Feedly with Baserow allows you to perform various tasks, including:

  • Creating a database of articles matching specific keywords.
  • Tracking trending topics from Feedly in a Baserow spreadsheet.
  • Automatically updating a Baserow table with new Feedly content.
  • Generating reports on content consumption using Feedly data.
  • Aggregating industry news from Feedly directly into Baserow.

Can I filter Feedly articles before saving them to Baserow?

Yes! Latenode lets you add custom filters, using JavaScript or AI, to refine the data sent from Feedly to Baserow, ensuring relevance and accuracy.

Are there any limitations to the Feedly and Baserow integration on Latenode?

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

  • Rate limits imposed by the Feedly API may affect high-volume workflows.
  • Baserow's row limits on free plans may restrict large-scale data imports.
  • Complex data transformations might require advanced JavaScript knowledge.

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