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

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

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

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Strava

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

Save and Activate the Scenario
After configuring Google Vertex AI, Strava, 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 Vertex AI and Strava integration works as expected. Depending on your setup, data should flow between Google Vertex AI and Strava (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Vertex AI and Strava
Strava + Google Vertex AI + Google Sheets: When a new activity is logged in Strava, analyze the activity data using Google Vertex AI to identify key performance insights. Store these insights in a Google Sheet for tracking progress over time.
Strava + Google Vertex AI + Email: After a new activity in Strava, use Google Vertex AI to generate a summary of workout feedback. Then, send an email containing personalized coaching tips based on the activity data and AI analysis.
Google Vertex AI and Strava integration alternatives
About Google Vertex AI
Use Vertex AI in Latenode to build AI-powered automation. Quickly integrate machine learning models for tasks like sentiment analysis or image recognition. Automate data enrichment or content moderation workflows without complex coding. Latenode’s visual editor makes it easier to chain AI tasks and scale them reliably, paying only for the execution time of each flow.
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About Strava
Bring Strava data into Latenode to track fitness activity as part of wellness programs or location-based workflows. Automatically log workout data, trigger follow-up actions based on performance metrics, or send personalized messages. Latenode enables complex automation without code, combining Strava with other apps for custom solutions.
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FAQ Google Vertex AI and Strava
How can I connect my Google Vertex AI account to Strava using Latenode?
To connect your Google Vertex AI account to Strava on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Vertex AI and click on "Connect".
- Authenticate your Google Vertex AI and Strava accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze workout data using AI models?
Yes, you can analyze Strava workout data using Google Vertex AI on Latenode. This integration enables you to derive insights from fitness activities, optimizing training with AI and no-code building blocks.
What types of tasks can I perform by integrating Google Vertex AI with Strava?
Integrating Google Vertex AI with Strava allows you to perform various tasks, including:
- Predicting optimal training schedules based on past performance.
- Generating personalized workout summaries with AI.
- Identifying potential injury risks from workout data patterns.
- Creating automated fitness challenges using user data.
- Analyzing sentiment in workout descriptions with AI.
Can I use JavaScript to customize data processing?
Yes, Latenode enables the use of JavaScript for custom data transformations when integrating Google Vertex AI and Strava, providing flexibility and control.
Are there any limitations to the Google Vertex AI and Strava integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Rate limits imposed by the Google Vertex AI and Strava APIs may affect workflow execution speed.
- Complex AI models might require significant processing time, impacting workflow latency.
- Historical data access is subject to Strava API limitations and user privacy settings.