How to connect Google AI and Strava
Create a New Scenario to Connect Google 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 AI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google AI or Strava will be your first step. To do this, click "Choose an app," find Google AI or Strava, 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 Strava Node
Next, click the plus (+) icon on the Google 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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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 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 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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Trigger on Webhook
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Save and Activate the Scenario
After configuring Google 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 AI and Strava integration works as expected. Depending on your setup, data should flow between Google 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 AI and Strava
Strava + Google AI + Google Sheets: When a new activity is logged in Strava, use Google AI to analyze the activity description. Log the insights and relevant metrics from Strava, such as distance and time, into a Google Sheet for tracking workout progress.
Strava + Google AI + Spotify: When a new activity is logged in Strava, determine the activity type and duration. Use Google AI to create a suitable Spotify playlist suggestion based on these factors, allowing users to enjoy curated music during their workouts.
Google AI and Strava 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 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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See how Latenode works
FAQ Google AI and Strava
How can I connect my Google AI account to Strava using Latenode?
To connect your Google AI account to Strava 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 Strava accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze workout descriptions using Google AI?
Yes, you can! Latenode lets you send Strava activity data to Google AI for sentiment analysis or summarization, giving you deeper insights into your training and performance improvements.
What types of tasks can I perform by integrating Google AI with Strava?
Integrating Google AI with Strava allows you to perform various tasks, including:
- Automatically generating workout summaries using Google AI's language models.
- Analyzing activity titles for motivational trends.
- Creating personalized training plans based on performance analysis.
- Identifying optimal workout times based on historical data and AI predictions.
- Translating workout data into different languages for global sharing.
How does Latenode enhance Google AI prompt customization?
Latenode offers no-code blocks and JavaScript steps, letting you precisely tailor Google AI prompts using Strava data for advanced personalized insights.
Are there any limitations to the Google 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 AI and Strava APIs may affect workflow execution speed.
- Large volumes of data processing with Google AI can consume significant processing resources.
- Advanced Google AI features may require a paid Google Cloud subscription.