How to connect Microsoft SQL Server and Rss.app
Create a New Scenario to Connect Microsoft SQL Server and Rss.app
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 Rss.app will be your first step. To do this, click "Choose an app," find Microsoft SQL Server or Rss.app, 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.


Microsoft SQL Server

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.
Add the Rss.app Node
Next, click the plus (+) icon on the Microsoft SQL Server node, select Rss.app from the list of available apps, and choose the action you need from the list of nodes within Rss.app.


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Authenticate Rss.app
Now, click the Rss.app node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Rss.app settings. Authentication allows you to use Rss.app through Latenode.
Configure the Microsoft SQL Server and Rss.app Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Microsoft SQL Server and Rss.app 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Microsoft SQL Server, Rss.app, 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 Rss.app integration works as expected. Depending on your setup, data should flow between Microsoft SQL Server and Rss.app (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 Rss.app
Rss.app + Microsoft SQL Server + Slack: Monitors an RSS feed for new items. When a new item appears, it extracts data and inserts it as a new row into a Microsoft SQL Server database. Finally, it sends a Slack message to a designated channel to notify users of the new database entry.
Rss.app + Microsoft SQL Server + Google Sheets: Monitors an RSS feed for updates. On each update, a query is executed against a Microsoft SQL Server database. The results of that query, along with the RSS feed data, are then added as a new row to a Google Sheet, providing a log of changes.
Microsoft SQL Server and Rss.app 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.
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About Rss.app
Use Rss.app in Latenode to monitor content sources and trigger automated workflows. Get updates from any RSS feed and use the data to fuel marketing campaigns, track news, or collect research. Build custom alerts and data pipelines with Latenode's visual editor and scale them with affordable, execution-based pricing.
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FAQ Microsoft SQL Server and Rss.app
How can I connect my Microsoft SQL Server account to Rss.app using Latenode?
To connect your Microsoft SQL Server account to Rss.app 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 Rss.app accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I archive new Rss.app feed items in Microsoft SQL Server?
Yes, you can! Latenode's visual editor makes it easy to automatically archive new Rss.app items in your database, ensuring a searchable historical record. Gain valuable insights by analyzing historical feed data.
What types of tasks can I perform by integrating Microsoft SQL Server with Rss.app?
Integrating Microsoft SQL Server with Rss.app allows you to perform various tasks, including:
- Store new Rss.app feed items in a Microsoft SQL Server database.
- Trigger alerts based on specific keywords in Rss.app feeds.
- Update a Microsoft SQL Server table when an Rss.app feed is updated.
- Create reports using Microsoft SQL Server data and Rss.app content.
- Synchronize Rss.app data with existing database records.
Can I use JavaScript to transform Rss.app data before saving to Microsoft SQL Server?
Yes, Latenode allows you to use JavaScript code blocks to transform Rss.app data before it's saved to Microsoft SQL Server for advanced customization.
Are there any limitations to the Microsoft SQL Server and Rss.app integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large Rss.app feeds may impact workflow execution time.
- Complex Microsoft SQL Server queries might require advanced knowledge.
- Rate limits of the Rss.app service may affect data retrieval.