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Refine Feedly news feeds using LlamaCloud AI on Latenode. Easily summarize articles and extract key insights with a visual editor. Scale affordably and bring your own AI keys for full control.
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Create a New Scenario to Connect Feedly and LlamaCloud
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 LlamaCloud will be your first step. To do this, click "Choose an app," find Feedly or LlamaCloud, 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.
Feedly
Add the LlamaCloud Node
Next, click the plus (+) icon on the Feedly node, select LlamaCloud from the list of available apps, and choose the action you need from the list of nodes within LlamaCloud.
Feedly
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LlamaCloud
Authenticate LlamaCloud
Now, click the LlamaCloud node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your LlamaCloud settings. Authentication allows you to use LlamaCloud through Latenode.
Configure the Feedly and LlamaCloud 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 Feedly and LlamaCloud Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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LlamaCloud
Trigger on Webhook
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Feedly
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Feedly, LlamaCloud, 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 LlamaCloud integration works as expected. Depending on your setup, data should flow between Feedly and LlamaCloud (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Feedly + LlamaCloud + Slack: When a new article appears in a Feedly feed, LlamaCloud summarizes it. Then, a message containing the summary and a link to the original article is sent to a specified Slack channel.
Feedly + LlamaCloud + Twitter: Get new articles from Feedly, summarize them using LlamaCloud, and then send the summary to Twitter as a new tweet.
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 LlamaCloud
Use LlamaCloud inside Latenode to streamline AI model deployment. Build workflows that automate prompt engineering, A/B testing, and model evaluation. Connect data sources, trigger LlamaCloud jobs, and manage results via webhooks or REST. Scale AI tasks and track performance visually without complex code.
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How can I connect my Feedly account to LlamaCloud using Latenode?
To connect your Feedly account to LlamaCloud on Latenode, follow these steps:
Can I analyze Feedly article content with LlamaCloud AI?
Yes, you can! Latenode allows seamless data transfer between apps. Use AI blocks to summarize Feedly articles in LlamaCloud, gaining instant insights without manual work.
What types of tasks can I perform by integrating Feedly with LlamaCloud?
Integrating Feedly with LlamaCloud allows you to perform various tasks, including:
How do I handle Feedly's rate limits within Latenode?
Latenode's built-in delay and error handling blocks help manage Feedly's API limits. You can design robust workflows that automatically retry failed requests.
Are there any limitations to the Feedly and LlamaCloud integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: