Enrich Layer and Strava Integration

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Automatically enrich Strava activity data in Latenode by adding weather conditions or location details from Enrich Layer. Combine this with JavaScript steps for custom analysis and benefit from affordable execution-based pricing.

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Enrich Layer

Strava

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Enrich Layer and Strava

Create a New Scenario to Connect Enrich Layer and Strava

In the workspace, click the โ€œCreate New Scenarioโ€ button.

Add the First Step

Add the first node โ€“ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Enrich Layer, triggered by another scenario, or executed manually (for testing purposes). In most cases, Enrich Layer or Strava will be your first step. To do this, click "Choose an app," find Enrich Layer or Strava, and select the appropriate trigger to start the scenario.

Add the Enrich Layer Node

Select the Enrich Layer node from the app selection panel on the right.

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Configure the Enrich Layer

Click on the Enrich Layer node to configure it. You can modify the Enrich Layer URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Add the Strava Node

Next, click the plus (+) icon on the Enrich Layer 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.

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Configure the Enrich Layer 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.

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Set Up the Enrich Layer 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 donโ€™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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Save and Activate the Scenario

After configuring Enrich Layer, Strava, and any additional nodes, donโ€™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 โ€œRun onceโ€ and triggering an event to check if the Enrich Layer and Strava integration works as expected. Depending on your setup, data should flow between Enrich Layer 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 Enrich Layer and Strava

Strava + Enrich Layer + Google Sheets: When a new activity is logged in Strava, enrich the athlete's profile using Enrich Layer, then add the activity details and enriched data to a Google Sheet.

Strava + Enrich Layer + Slack: When a user completes a Strava activity, enrich their profile via Enrich Layer, and then send a notification with the enriched profile details to a Slack channel.

Enrich Layer and Strava integration alternatives

About Enrich Layer

Enrich Layer inside Latenode automates data validation and enhancement. Fix errors and add missing info to leads or contacts. Clean up data from any source before it reaches your CRM or database. Latenode handles complex logic and scales the process without per-step costs, keeping data accurate and workflows efficient.

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.

Enrich Layer + Strava integration

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FAQ Enrich Layer and Strava

How can I connect my Enrich Layer account to Strava using Latenode?

To connect your Enrich Layer account to Strava on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Enrich Layer and click on "Connect".
  • Authenticate your Enrich Layer and Strava accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I enrich Strava activity data?

Yes, you can! Latenode allows you to enrich Strava data using Enrich Layer's detailed insights, providing a comprehensive view, and enabling better data-driven fitness strategies.

What types of tasks can I perform by integrating Enrich Layer with Strava?

Integrating Enrich Layer with Strava allows you to perform various tasks, including:

  • Analyze activity patterns for performance improvements.
  • Segment users based on combined data insights.
  • Personalize fitness content for individual athletes.
  • Identify popular routes and training spots.
  • Trigger custom alerts based on enriched activity data.

What Enrich Layer data can I access within Latenode workflows?

Latenode unlocks all Enrich Layer data points. You can access demographic, firmographic, and technographic details for enriched Strava user profiles.

Are there any limitations to the Enrich Layer and Strava integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Data enrichment is limited to publicly available Strava profile data.
  • Rate limits apply based on your Enrich Layer subscription tier.
  • Historical data enrichment might require extra processing time.

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