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

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

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

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Authenticate HubSpot
Now, click the HubSpot node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your HubSpot settings. Authentication allows you to use HubSpot through Latenode.
Configure the OpenAI Responses and HubSpot 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 OpenAI Responses and HubSpot 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 OpenAI Responses, HubSpot, 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 OpenAI Responses and HubSpot integration works as expected. Depending on your setup, data should flow between OpenAI Responses and HubSpot (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect OpenAI Responses and HubSpot
HubSpot + OpenAI Responses + Slack: When a new call engagement is created in HubSpot, the transcript is sent to OpenAI for summarization. The summary is then added as a note to the contact in HubSpot, and a notification is sent to a Slack channel.
HubSpot + OpenAI Responses + Google Sheets: When new contact is created in HubSpot, the information from the contact is sent to OpenAI for feedback analysis. The results of the analysis are stored in Google Sheets.
OpenAI Responses and HubSpot integration alternatives
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 – all without code.
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About HubSpot
Sync HubSpot contacts, deals, and marketing data with other apps in Latenode for automated workflows. Update records, trigger email sequences based on behavior, or generate reports. Use Latenode’s visual editor and affordable pricing to build complex, scalable marketing automation without code or per-step fees. Connect to CRMs, databases, and analytics tools.
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FAQ OpenAI Responses and HubSpot
How can I connect my OpenAI Responses account to HubSpot using Latenode?
To connect your OpenAI Responses account to HubSpot on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select OpenAI Responses and click on "Connect".
- Authenticate your OpenAI Responses and HubSpot accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically enrich HubSpot contacts with AI-generated data?
Yes, you can! Latenode allows you to enrich HubSpot contacts using AI insights from OpenAI Responses, ensuring higher data quality and enabling personalized marketing campaigns.
What types of tasks can I perform by integrating OpenAI Responses with HubSpot?
Integrating OpenAI Responses with HubSpot allows you to perform various tasks, including:
- Generate personalized email copy for HubSpot marketing campaigns.
- Automatically summarize customer feedback data into HubSpot notes.
- Categorize HubSpot support tickets using AI-driven topic analysis.
- Create targeted content offers based on AI-analyzed contact interests.
- Update HubSpot contact properties with sentiment analysis of interactions.
How much control do I have over the AI prompts in Latenode?
Latenode gives you full control. Use prompt templates, or write custom JavaScript code to tailor the AI behavior perfectly for your needs.
Are there any limitations to the OpenAI Responses and HubSpot integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of the OpenAI Responses and HubSpot APIs apply.
- Complex data transformations might require JavaScript knowledge.
- AI accuracy depends on the quality of your prompts and input data.