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

Add the Confluence Node
Select the Confluence node from the app selection panel on the right.

Confluence
Configure the Confluence
Click on the Confluence node to configure it. You can modify the Confluence URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the RD Station Node
Next, click the plus (+) icon on the Confluence node, select RD Station from the list of available apps, and choose the action you need from the list of nodes within RD Station.

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Authenticate RD Station
Now, click the RD Station node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your RD Station settings. Authentication allows you to use RD Station through Latenode.
Configure the Confluence and RD Station 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 Confluence and RD Station 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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AI Anthropic Claude 3
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RD Station
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Confluence, RD Station, 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 Confluence and RD Station integration works as expected. Depending on your setup, data should flow between Confluence and RD Station (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Confluence and RD Station
Confluence + Slack + RD Station: When a new page is created in Confluence, a message is sent to a designated Slack channel notifying the marketing team. This prompts them to review and update lead nurturing workflows in RD Station as needed.
RD Station + Confluence + Google Docs: When a new lead conversion occurs in RD Station, a draft Confluence page is automatically created. The content of this Confluence page is then summarized and transferred to a new Google Docs document for the sales team's review and use.
Confluence and RD Station integration alternatives
About Confluence
Automate Confluence tasks in Latenode: create pages, update content, or trigger workflows when pages change. Connect Confluence to other apps (like Jira or Slack) for streamlined project updates and notifications. Use Latenode’s visual editor and JS node for custom logic and efficient information sharing across teams.
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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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FAQ Confluence and RD Station
How can I connect my Confluence account to RD Station using Latenode?
To connect your Confluence account to RD Station on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Confluence and click on "Connect".
- Authenticate your Confluence and RD Station accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically create RD Station leads from Confluence page updates?
Yes, with Latenode you can! Trigger workflows from Confluence changes, instantly creating or updating leads in RD Station. Enjoy advanced data mapping and conditional logic for smarter lead management.
What types of tasks can I perform by integrating Confluence with RD Station?
Integrating Confluence with RD Station allows you to perform various tasks, including:
- Create new RD Station leads from updated Confluence pages.
- Update RD Station lead information based on Confluence content.
- Send Confluence page summaries to RD Station for lead nurturing.
- Track Confluence page views and add them as RD Station lead activities.
- Automatically generate Confluence content from RD Station data.
Can I use JavaScript code to transform data between Confluence and RD Station?
Yes! Latenode lets you use JavaScript code blocks to customize data transformations, add advanced logic, and handle complex data structures easily.
Are there any limitations to the Confluence and RD Station integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Attachments from Confluence pages are not directly transferred to RD Station.
- Real-time synchronization may be subject to API rate limits of both platforms.
- Complex Confluence layouts may require custom JavaScript parsing for data extraction.