How to connect RD Station and OpenAI Responses
Create a New Scenario to Connect RD Station and OpenAI Responses
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 OpenAI Responses will be your first step. To do this, click "Choose an app," find RD Station or OpenAI Responses, 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 OpenAI Responses Node
Next, click the plus (+) icon on the RD Station node, select OpenAI Responses from the list of available apps, and choose the action you need from the list of nodes within OpenAI Responses.


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OpenAI Responses

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

Save and Activate the Scenario
After configuring RD Station, OpenAI Responses, 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 OpenAI Responses integration works as expected. Depending on your setup, data should flow between RD Station and OpenAI Responses (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect RD Station and OpenAI Responses
RD Station + OpenAI Responses + Slack: When a new lead conversion occurs in RD Station, the lead's information is sent to OpenAI to generate a summary. This summary is then posted to a designated Slack channel to inform the sales team.
RD Station + OpenAI Responses + Google Sheets: When a new opportunity is created in RD Station, customer data is sent to OpenAI for content idea generation. These ideas are then saved to a Google Sheets spreadsheet for marketing review.
RD Station and OpenAI Responses integration alternatives

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 OpenAI Responses
Need AI-powered text generation? Use OpenAI Responses in Latenode to automate content creation, sentiment analysis, and data enrichment directly within your workflows. Streamline tasks like generating product descriptions or classifying customer feedback. Latenode lets you chain AI tasks with other services, adding logic and routing based on results β all without code.
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See how Latenode works
FAQ RD Station and OpenAI Responses
How can I connect my RD Station account to OpenAI Responses using Latenode?
To connect your RD Station account to OpenAI Responses on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select RD Station and click on "Connect".
- Authenticate your RD Station and OpenAI Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically qualify leads using AI responses?
Yes, you can! Latenode lets you use AI to score leads from RD Station based on their responses, automating qualification and saving your sales team valuable time with customized workflows.
What types of tasks can I perform by integrating RD Station with OpenAI Responses?
Integrating RD Station with OpenAI Responses allows you to perform various tasks, including:
- Generate personalized email responses for new RD Station leads.
- Analyze lead interactions and update RD Station contact properties.
- Create custom chatbot flows for RD Station landing pages.
- Automatically translate RD Station content using AI.
- Summarize lead data from RD Station for sales team briefings.
What RD Station data can I access within Latenode workflows?
You can access contact data, conversion events, email marketing metrics, and much more, enabling powerful automations using Latenode's flexible data mapping.
Are there any limitations to the RD Station and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits apply based on your RD Station and OpenAI Responses plans.
- Complex data transformations may require JavaScript knowledge.
- Initial setup requires understanding of both RD Station and OpenAI Responses APIs.