Feedly and Google Vertex AI Integration

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Refine Feedly content using Google Vertex AI for smarter insights. Latenode’s visual editor simplifies AI integration, letting you build custom news analysis workflows affordably and extract key intelligence with no-code ease.

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Feedly

Google Vertex AI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Feedly and Google Vertex AI

Create a New Scenario to Connect Feedly and Google Vertex AI

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 Google Vertex AI will be your first step. To do this, click "Choose an app," find Feedly or Google Vertex AI, 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.

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Configure the Feedly

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

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Run node once

Add the Google Vertex AI Node

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

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Authenticate Google Vertex AI

Now, click the Google Vertex AI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Vertex AI settings. Authentication allows you to use Google Vertex AI through Latenode.

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Configure the Feedly and Google Vertex AI 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 Feedly and Google Vertex AI 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 Feedly, Google Vertex AI, 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 Google Vertex AI integration works as expected. Depending on your setup, data should flow between Feedly and Google Vertex AI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Feedly and Google Vertex AI

Feedly + Google Vertex AI + Slack: When a new article appears in a Feedly feed, the content is summarized using Google Vertex AI. The summary is then sent to a designated Slack channel.

Feedly + Google Vertex AI + Google Sheets: When a new article appears in a Feedly feed, the sentiment of the article is analyzed using Google Vertex AI. The article title and sentiment score are then logged in a Google Sheet.

Feedly and Google Vertex AI integration alternatives

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.

About Google Vertex AI

Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.

See how Latenode works

FAQ Feedly and Google Vertex AI

How can I connect my Feedly account to Google Vertex AI using Latenode?

To connect your Feedly account to Google Vertex AI on Latenode, follow these steps:

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

Can I summarize Feedly articles using Google Vertex AI?

Yes, you can! Latenode simplifies this with visual workflows. Automatically summarize new Feedly articles using Vertex AI's natural language processing for quick insights.

What types of tasks can I perform by integrating Feedly with Google Vertex AI?

Integrating Feedly with Google Vertex AI allows you to perform various tasks, including:

  • Categorizing Feedly articles based on content using AI.
  • Generating social media posts from Feedly article summaries.
  • Analyzing trending topics in Feedly with Vertex AI’s sentiment analysis.
  • Creating personalized newsletters based on Feedly content.
  • Identifying key entities in Feedly articles using AI models.

How does Latenode handle Feedly rate limits when processing articles?

Latenode offers built-in tools for managing API rate limits, ensuring smooth Feedly data processing and preventing workflow disruptions.

Are there any limitations to the Feedly and Google Vertex AI integration on Latenode?

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

  • The number of Feedly articles processed depends on your Feedly plan's limits.
  • Google Vertex AI usage is subject to its own pricing and resource constraints.
  • Complex workflows might require JavaScript knowledge for advanced data manipulation.

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