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

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

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

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Authenticate WildApricot
Now, click the WildApricot node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your WildApricot settings. Authentication allows you to use WildApricot through Latenode.
Configure the Google AI and WildApricot 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 Google AI and WildApricot 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.

JavaScript
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AI Anthropic Claude 3
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WildApricot
Trigger on Webhook
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google AI, WildApricot, 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 Google AI and WildApricot integration works as expected. Depending on your setup, data should flow between Google AI and WildApricot (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google AI and WildApricot
WildApricot + Google AI + Slack: When a new event registration is created in WildApricot, Google AI summarizes the registrant's information or feedback (assuming it's collected during registration). This summary is then posted to a designated Slack channel for administrators to review.
WildApricot + Google AI + Gmail: When a new member registers in WildApricot, Google AI summarizes the member's interests from their profile data. This summary is then used to personalize and send a welcome email with relevant content via Gmail.
Google AI and WildApricot integration alternatives
About Google AI
Use Google AI in Latenode to add smarts to your workflows. Process text, translate languages, or analyze images automatically. Unlike direct API calls, Latenode lets you combine AI with other apps, add logic, and scale without code. Automate content moderation, sentiment analysis, and more.
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About WildApricot
Automate WildApricot tasks inside Latenode. Sync membership data, trigger personalized emails, and update contact info across platforms. No more manual data entry or missed follow-ups. Latenode's visual editor and flexible logic nodes let you build scalable membership workflows that adapt to your needs. Benefit from no-code tools, JS scripting, and affordable execution-based pricing.
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See how Latenode works
FAQ Google AI and WildApricot
How can I connect my Google AI account to WildApricot using Latenode?
To connect your Google AI account to WildApricot on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google AI and click on "Connect".
- Authenticate your Google AI and WildApricot accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I generate personalized event descriptions using Google AI for WildApricot?
Yes, you can! Latenode allows you to use Google AI to dynamically create engaging event descriptions, automatically updating your WildApricot events with compelling content. Save time and boost registration!
What types of tasks can I perform by integrating Google AI with WildApricot?
Integrating Google AI with WildApricot allows you to perform various tasks, including:
- Automatically generate personalized welcome emails for new WildApricot members.
- Analyze member feedback and suggest improvements to WildApricot events.
- Use AI to classify and tag WildApricot contacts based on their interests.
- Dynamically update event schedules based on real-time Google AI predictions.
- Create summaries of member activity to identify valuable WildApricot contacts.
Can I use Google AI models beyond the default options in Latenode?
Yes! Latenode's code blocks allow you to integrate custom Google AI models, providing limitless flexibility for advanced automations.
Are there any limitations to the Google AI and WildApricot integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by Google AI and WildApricot may affect high-volume workflows.
- Complex AI models may require more processing time, impacting workflow speed.
- Custom JavaScript code within workflows requires technical proficiency.