Cloudinary and LinkedIn Integration

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Automatically resize and optimize Cloudinary images for LinkedIn posts, ensuring consistent branding and engagement. Latenode's visual editor makes the integration simple, and affordable pay-by-execution pricing ensures cost-effective scaling.

Swap Apps

Cloudinary

LinkedIn

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Cloudinary and LinkedIn

Create a New Scenario to Connect Cloudinary and LinkedIn

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 Cloudinary, triggered by another scenario, or executed manually (for testing purposes). In most cases, Cloudinary or LinkedIn will be your first step. To do this, click "Choose an app," find Cloudinary or LinkedIn, and select the appropriate trigger to start the scenario.

Add the Cloudinary Node

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

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Configure the Cloudinary

Click on the Cloudinary node to configure it. You can modify the Cloudinary 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 LinkedIn Node

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

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Authenticate LinkedIn

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

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Configure the Cloudinary and LinkedIn 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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The action ID

Run node once

Set Up the Cloudinary and LinkedIn 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 Cloudinary, LinkedIn, 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 Cloudinary and LinkedIn integration works as expected. Depending on your setup, data should flow between Cloudinary and LinkedIn (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Cloudinary and LinkedIn

Cloudinary + Canva + LinkedIn: When a new image is uploaded to Cloudinary, a Canva design is created using the image. The resulting design is then posted to LinkedIn as an organization image post.

Cloudinary + LinkedIn + Google Drive: When a new resource is tagged in Cloudinary, this automatically creates a new organization image post on LinkedIn, and the image is also backed up to Google Drive.

Cloudinary and LinkedIn integration alternatives

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.

About LinkedIn

Automate LinkedIn tasks in Latenode to streamline lead generation or social selling. Extract profile data, post updates, or send invites based on triggers from other apps. Chain actions visually, add custom logic, and scale outreach without complex code, paying only for the execution time that you use.

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FAQ Cloudinary and LinkedIn

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

To connect your Cloudinary account to LinkedIn on Latenode, follow these steps:

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

Can I automate sharing Cloudinary images to LinkedIn?

Yes, you can! Latenode allows you to automatically post Cloudinary images to LinkedIn, streamlining your content distribution. Use AI to generate engaging captions automatically.

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

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

  • Automatically posting new Cloudinary assets to your LinkedIn feed.
  • Updating your LinkedIn banner with images stored in Cloudinary.
  • Dynamically generating LinkedIn ad creatives using Cloudinary transformations.
  • Creating personalized LinkedIn content using Cloudinary video templates.
  • Backing up LinkedIn profile images to Cloudinary for archival.

HowdoImanageCloudinaryassetsdirectlywithinLatenode?

Latenode's visual editor lets you manage Cloudinary assets while building workflows, boosting efficiency by eliminating app switching.

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

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

  • LinkedIn's API rate limits may affect the frequency of automated posts.
  • Complex image transformations may increase workflow execution time.
  • Some advanced Cloudinary features may require custom JavaScript code.

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