PostgreSQL and Feedly Integration

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Automatically archive and analyze `Feedly` articles in `PostgreSQL` databases. Latenode’s visual editor and JavaScript support make custom data transformations effortless, scaling your content insights affordably with pay-by-execution pricing.

Swap Apps

PostgreSQL

Feedly

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect PostgreSQL and Feedly

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

Add the PostgreSQL Node

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

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Configure the PostgreSQL

Click on the PostgreSQL node to configure it. You can modify the PostgreSQL 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL, 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 PostgreSQL and Feedly integration works as expected. Depending on your setup, data should flow between PostgreSQL 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 PostgreSQL and Feedly

Feedly + PostgreSQL + Slack: When a new article is found in Feedly based on your chosen feeds (competitor news), the article details are stored in a PostgreSQL database. Subsequently, a notification is sent to a specified Slack channel to alert the sales team.

Feedly + PostgreSQL + Google Sheets: This automation flow monitors Feedly for new articles. Each new article is saved to a PostgreSQL database. Then weekly, a summary of the article counts is calculated and updated in a specified Google Sheet.

PostgreSQL and Feedly integration alternatives

About PostgreSQL

Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.

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 PostgreSQL and Feedly

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

To connect your PostgreSQL account to Feedly on Latenode, follow these steps:

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

Can I archive Feedly articles into my PostgreSQL database?

Yes, you can! Latenode makes this easy. Automatically save articles for research, analysis, or content backup. Enjoy seamless integration with flexible data schemas.

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

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

  • Backup Feedly articles into a PostgreSQL database for long-term storage.
  • Analyze trending topics from Feedly using PostgreSQL's analytical capabilities.
  • Create custom dashboards displaying Feedly data stored in PostgreSQL.
  • Trigger alerts based on specific keywords appearing in Feedly articles, updating PostgreSQL.
  • Enrich Feedly article data with information stored in your PostgreSQL database.

HowdoIsecurelymanagePostgreSQLconnectioncredentialsinLatenode?

Latenode uses secure credential storage. Your PostgreSQL credentials are encrypted and protected, ensuring safe and reliable access in your automation workflows.

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

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

  • Rate limits imposed by Feedly may affect the frequency of data retrieval.
  • Complex data transformations may require JavaScript coding.
  • Initial setup requires basic understanding of PostgreSQL database structure.

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