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

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

Airtable
Configure the Airtable
Click on the Airtable node to configure it. You can modify the Airtable 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 Airtable 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 Airtable 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 Airtable 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 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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OpenAI Responses
Trigger on Webhook
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Webhook response
Save and Activate the Scenario
After configuring Airtable, OpenAI Responses, 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 Airtable and OpenAI Responses integration works as expected. Depending on your setup, data should flow between Airtable 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 Airtable and OpenAI Responses
Airtable + OpenAI Responses + Slack: When new feedback is submitted in Airtable, OpenAI analyzes the sentiment and extracts key topics. A summary is then posted to a designated Slack channel for team review.
OpenAI Responses + Airtable + Google Sheets: When OpenAI generates content ideas, the response is logged as a new record in Airtable. This new Airtable record triggers a new row to be added in Google Sheets to track the idea's performance.
Airtable and OpenAI Responses integration alternatives
About Airtable
Sync Airtable data with other apps via Latenode for automated updates. Use Airtable as a flexible database and trigger workflows based on record changes. Automate reporting, inventory updates, and more by connecting Airtable to other services like CRMs or accounting software in Latenode. Customize with JavaScript for complex logic.
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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 – all without code.
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See how Latenode works
FAQ Airtable and OpenAI Responses
How can I connect my Airtable account to OpenAI Responses using Latenode?
To connect your Airtable account to OpenAI Responses on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Airtable and click on "Connect".
- Authenticate your Airtable and OpenAI Responses accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically classify Airtable records using OpenAI Responses?
Yes, easily! Latenode enables automated workflows, updating Airtable based on OpenAI Responses' classifications. This saves time and ensures accurate data categorization.
What types of tasks can I perform by integrating Airtable with OpenAI Responses?
Integrating Airtable with OpenAI Responses allows you to perform various tasks, including:
- Automatically generate summaries for Airtable records using AI.
- Analyze customer feedback stored in Airtable via OpenAI Responses.
- Create AI-powered content for Airtable marketing campaigns.
- Enrich Airtable data with insights from OpenAI-driven text analysis.
- Automatically translate Airtable content into multiple languages.
How can I trigger OpenAI Responses based on new Airtable entries?
Latenode's real-time triggers let you start OpenAI Responses workflows instantly upon new Airtable records. Automate data analysis and updates efficiently.
Are there any limitations to the Airtable and OpenAI Responses integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits of Airtable and OpenAI Responses APIs may apply.
- Complex data transformations might require JavaScript knowledge.
- Large-scale data processing can consume significant execution time.