Feedly and Cloudinary Integration

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Automate content workflows by saving Feedly article images directly to Cloudinary. Latenode's visual editor makes it easy to customize this process with JavaScript and scale the automation affordably.

Swap Apps

Feedly

Cloudinary

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Feedly and Cloudinary

Create a New Scenario to Connect Feedly and Cloudinary

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 Cloudinary will be your first step. To do this, click "Choose an app," find Feedly or Cloudinary, 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 Cloudinary Node

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

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Authenticate Cloudinary

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

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Configure the Feedly and Cloudinary 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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Run node once

Set Up the Feedly and Cloudinary 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, Cloudinary, 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 Cloudinary integration works as expected. Depending on your setup, data should flow between Feedly and Cloudinary (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 Cloudinary

Feedly + OpenAI GPT Assistants + Cloudinary: When a new article appears in a Feedly feed, it is summarized using OpenAI GPT Assistants. The summarized text is then used to enhance an image, which is then stored in Cloudinary.

Cloudinary + Feedly + Slack: When a new image is uploaded to Cloudinary, the workflow searches Feedly for related articles. These articles are then sent to a specified Slack channel.

Feedly and Cloudinary 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 Cloudinary

Automate image and video optimization with Cloudinary in Latenode. Resize, convert, and deliver media assets based on triggers or data from any app. Streamline content workflows by integrating Cloudinary’s powerful transformations directly into your automated processes, reducing manual work. Scale efficiently and pay only for execution time.

See how Latenode works

FAQ Feedly and Cloudinary

How can I connect my Feedly account to Cloudinary using Latenode?

To connect your Feedly account to Cloudinary 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 Cloudinary accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically upload Feedly article images to Cloudinary?

Yes, you can. Latenode's visual editor simplifies the process, letting you auto-upload and manage Feedly images in Cloudinary, freeing up time for strategic tasks.

What types of tasks can I perform by integrating Feedly with Cloudinary?

Integrating Feedly with Cloudinary allows you to perform various tasks, including:

  • Automatically backing up Feedly article images to Cloudinary.
  • Resizing Feedly images for optimal web display.
  • Adding watermarks to Feedly content in Cloudinary.
  • Generating optimized image URLs from Feedly articles.
  • Tagging images from Feedly articles using AI in Cloudinary.

How can I use Feedly content to dynamically update Cloudinary assets?

Latenode allows you to trigger Cloudinary asset updates based on new Feedly articles, ensuring your media is always fresh using no-code and JavaScript tools.

Are there any limitations to the Feedly and Cloudinary integration on Latenode?

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

  • Rate limits imposed by Feedly and Cloudinary APIs may affect workflow speed.
  • Complex image transformations might require custom JavaScript code.
  • Initial setup requires understanding of both Feedly and Cloudinary data structures.

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