How to connect Google Vertex AI and LinkedIn
Create a New Scenario to Connect Google Vertex AI 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 Google Vertex AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Vertex AI or LinkedIn will be your first step. To do this, click "Choose an app," find Google Vertex AI or LinkedIn, and select the appropriate trigger to start the scenario.

Add the Google Vertex AI Node
Select the Google Vertex AI node from the app selection panel on the right.

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Configure the Google Vertex AI
Click on the Google Vertex AI node to configure it. You can modify the Google Vertex AI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the LinkedIn Node
Next, click the plus (+) icon on the Google Vertex AI 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.
Configure the Google Vertex AI 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.
Set Up the Google Vertex AI 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google Vertex AI, 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 Google Vertex AI and LinkedIn integration works as expected. Depending on your setup, data should flow between Google Vertex AI 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 Google Vertex AI and LinkedIn
LinkedIn + Google Vertex AI + Google Sheets: When a user updates their LinkedIn profile, Vertex AI analyzes the changes to identify potential sales leads. The identified leads are then saved to a Google Sheet for further action.
LinkedIn + Google Vertex AI + Slack: When a key prospect updates their LinkedIn profile, Vertex AI summarizes the change and sends an alert to the sales team in Slack.
Google Vertex AI and LinkedIn integration alternatives
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.
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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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See how Latenode works
FAQ Google Vertex AI and LinkedIn
How can I connect my Google Vertex AI account to LinkedIn using Latenode?
To connect your Google Vertex AI account to LinkedIn on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and LinkedIn accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I generate LinkedIn posts with AI using Vertex AI data?
Yes, you can! Latenode allows prompt-based AI content creation. Automate personalized posts effortlessly by combining Vertex AI insights with LinkedIn's posting features.
What types of tasks can I perform by integrating Google Vertex AI with LinkedIn?
Integrating Google Vertex AI with LinkedIn allows you to perform various tasks, including:
- Generate personalized LinkedIn connection requests using Vertex AI insights.
- Analyze LinkedIn profiles to refine AI-driven lead generation strategies.
- Create targeted LinkedIn ads based on Vertex AI's market segment analysis.
- Automate personalized follow-up messages to LinkedIn connections.
- Extract and summarize LinkedIn article content using Vertex AI models.
Can I use JavaScript within the Google Vertex AI integration?
Yes! Latenode supports JavaScript, letting you customize your Vertex AI workflows with custom logic for advanced data manipulation.
Are there any limitations to the Google Vertex AI and LinkedIn integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by LinkedIn and Google Vertex AI may affect performance.
- Complex data transformations might require custom JavaScript code.
- Real-time updates depend on the API refresh rates of both platforms.