Microsoft SQL Server and Feedly Integration

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Automate content aggregation by saving new Feedly articles to Microsoft SQL Server databases. Latenode’s visual editor and affordable pay-by-execution pricing make custom content pipelines easier than ever, scaling effortlessly for any volume.

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Microsoft SQL Server

Feedly

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Microsoft SQL Server and Feedly

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

Add the Microsoft SQL Server Node

Select the Microsoft SQL Server node from the app selection panel on the right.

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Configure the Microsoft SQL Server

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

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Add the Feedly Node

Next, click the plus (+) icon on the Microsoft SQL Server 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 SQL Server 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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Set Up the Microsoft SQL Server 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 SQL Server, 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 SQL Server and Feedly integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server 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 SQL Server and Feedly

Feedly + Microsoft SQL Server + Slack: When a new article appears in a Feedly feed matching specific keywords (related to database technologies), the article details are inserted into a Microsoft SQL Server database, and a message is sent to a dedicated Slack channel.

Feedly + Microsoft SQL Server + Google Sheets: Track articles about competitors in Feedly. Save relevant data points (article title, source, and published date) to a Microsoft SQL Server database. Then, execute a query to retrieve the saved data from SQL and update a Google Sheet with a summary.

Microsoft SQL Server and Feedly integration alternatives

About Microsoft SQL Server

Use Microsoft SQL Server in Latenode to automate database tasks. Directly query, update, or insert data in response to triggers. Sync SQL data with other apps; simplify data pipelines for reporting and analytics. Build automated workflows without complex coding to manage databases efficiently and scale operations.

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 SQL Server and Feedly

How can I connect my Microsoft SQL Server account to Feedly using Latenode?

To connect your Microsoft SQL Server account to Feedly on Latenode, follow these steps:

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

Can I track news topics and save articles to SQL?

Yes! With Latenode, automate Feedly topic monitoring, saving articles to Microsoft SQL Server instantly. Leverage AI blocks for content summarization and data formatting before saving.

What types of tasks can I perform by integrating Microsoft SQL Server with Feedly?

Integrating Microsoft SQL Server with Feedly allows you to perform various tasks, including:

  • Archive Feedly articles matching specific criteria in a Microsoft SQL Server database.
  • Update Microsoft SQL Server records based on new articles in Feedly feeds.
  • Trigger Feedly actions when new data is added to your Microsoft SQL Server.
  • Create reports using data from both Microsoft SQL Server and Feedly articles.
  • Send customized notifications based on saved articles in Microsoft SQL Server.

How secure is Microsoft SQL Server data handling on Latenode?

Latenode uses encrypted connections and secure data handling practices, keeping your Microsoft SQL Server and Feedly data safe during automation.

Are there any limitations to the Microsoft SQL Server and Feedly integration on Latenode?

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

  • Large data transfers from Microsoft SQL Server may affect workflow performance.
  • Feedly API rate limits may impact the frequency of data retrieval.
  • Complex Microsoft SQL Server queries might require advanced configuration.

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