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Automatically enrich RD Station leads with LinkedIn data, or trigger personalized LinkedIn outreach based on RD Station activity. Latenode's visual editor and affordable pricing make automating sophisticated lead nurturing workflows easier than ever.
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Create a New Scenario to Connect RD Station and LinkedIn
In the workspace, click the βCreate New Scenarioβ button.
Add the First Step
Add the first node β a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a RD Station, triggered by another scenario, or executed manually (for testing purposes). In most cases, RD Station or LinkedIn will be your first step. To do this, click "Choose an app," find RD Station or LinkedIn, and select the appropriate trigger to start the scenario.
Add the RD Station Node
Select the RD Station node from the app selection panel on the right.
RD Station
Configure the RD Station
Click on the RD Station node to configure it. You can modify the RD Station 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 RD Station node, select LinkedIn from the list of available apps, and choose the action you need from the list of nodes within LinkedIn.
RD Station
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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 RD Station 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 RD Station and LinkedIn 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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Trigger on Webhook
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RD Station
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring RD Station, LinkedIn, and any additional nodes, donβt 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 βRun onceβ and triggering an event to check if the RD Station and LinkedIn integration works as expected. Depending on your setup, data should flow between RD Station and LinkedIn (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
RD Station + LinkedIn + Slack: When a new lead conversion occurs in RD Station, the automation finds the lead's LinkedIn profile and sends a notification to the sales team in Slack.
LinkedIn + RD Station + Google Sheets: When there is a new comment on a LinkedIn post, the automation creates a new opportunity in RD Station and then logs the event in Google Sheets.
About RD Station
Use RD Station in Latenode to automate marketing tasks. Update leads, trigger personalized emails, and track campaign performance, all inside automated workflows. Integrate RD Station data with other apps, enrich with AI, and build custom logic without code. Scale your marketing automation affordably and visually.
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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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How can I connect my RD Station account to LinkedIn using Latenode?
To connect your RD Station account to LinkedIn on Latenode, follow these steps:
Can I automatically send RD Station leads personalized LinkedIn connection requests?
Yes, you can! Latenode allows you to automate personalized connection requests, increasing engagement with your leads using prompt-based AI and custom logic.
What types of tasks can I perform by integrating RD Station with LinkedIn?
Integrating RD Station with LinkedIn allows you to perform various tasks, including:
How can I ensure my RD Station data is accurately synced via Latenode?
Latenode provides robust error handling and data transformation tools ensuring data accuracy, even when handling complex data structures.
Are there any limitations to the RD Station and LinkedIn integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: