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Get instant alerts for specific Feedly articles by connecting to Amazon SNS. Latenode's visual editor simplifies complex filtering and notification logic, while affordable execution-based pricing ensures cost-effective monitoring.
Connect Feedly and Amazon SNS in minutes with Latenode.
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In the workspace, click the “Create New Scenario” button.

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 Amazon SNS will be your first step. To do this, click "Choose an app," find Feedly or Amazon SNS, and select the appropriate trigger to start the scenario.

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

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

Feedly
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Amazon SNS
Now, click the Amazon SNS node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Amazon SNS settings. Authentication allows you to use Amazon SNS through Latenode.
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Use various Latenode nodes to transform data and enhance your integration:

JavaScript
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AI Anthropic Claude 3
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Amazon SNS
Trigger on Webhook
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Feedly
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Iterator
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Webhook response
After configuring Feedly, Amazon SNS, 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.
Run the scenario by clicking “Run once” and triggering an event to check if the Feedly and Amazon SNS integration works as expected. Depending on your setup, data should flow between Feedly and Amazon SNS (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Feedly + Amazon SNS + Slack: When a new article appears in a Feedly feed matching your criteria, a message is sent to an Amazon SNS topic. This triggers a notification to a Slack channel, sharing the new article details.
Amazon SNS + Feedly + Email: When a new message is sent to an Amazon SNS topic, Feedly searches for related news articles. A summary of these articles is then compiled and sent to a specified email address.
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.
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About Amazon SNS
Use Amazon SNS in Latenode to build automated notification systems. Trigger SMS, email, or push notifications based on events in your workflows. Centralize alerts across apps and avoid missing critical updates. Combine with Latenode's no-code tools and JavaScript for customized routing and content based on real-time data.
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How can I connect my Feedly account to Amazon SNS using Latenode?
To connect your Feedly account to Amazon SNS on Latenode, follow these steps:
Can I send Feedly article summaries to my phone?
Yes, you can! With Latenode, trigger Amazon SNS notifications from new Feedly articles, keeping you informed instantly. Customize messages using JavaScript for optimal alerts.
What types of tasks can I perform by integrating Feedly with Amazon SNS?
Integrating Feedly with Amazon SNS allows you to perform various tasks, including:
Can I filter Feedly articles based on sentiment analysis in Latenode?
Yes, Latenode’s AI blocks can analyze Feedly articles and trigger Amazon SNS notifications based on sentiment, enhancing relevance and reducing noise.
Are there any limitations to the Feedly and Amazon SNS integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: