Strava connector
Automate Your Fitness Data Workflows with Strava Integrations
Connect Strava to your business tools and build automation workflows that turn athlete activity data into something you can actually act on.
What can you do with the Strava connector?
Strava is the world's leading fitness tracking platform, used by millions of athletes to log runs, rides, swims, and more. Integrating Strava with your tech stack lets fitness brands, coaches, wellness platforms, and app developers automatically sync activity data, trigger engagement workflows, and build richer athlete experiences. With tray.ai's Strava connector, you can wire up Strava's API to CRMs, databases, messaging tools, and AI agents without writing custom integration code.
Automate & integrate Strava
Automating Strava business process or integrating Strava data is made easy with tray.ai
Use case
Athlete Activity Sync to CRM
Automatically push Strava activity data into your CRM whenever an athlete completes a run, ride, or workout. Keep customer profiles enriched with real fitness data so your sales and coaching teams always have current performance context. This works especially well for fitness coaching platforms, apparel brands, and health-focused SaaS products.
Use case
Fitness Challenge Leaderboard Automation
Build automated leaderboards for corporate wellness programs, brand challenges, or community events by pulling Strava segment and activity data on a schedule. Automatically calculate rankings and push results to Slack, a web dashboard, or a spreadsheet for participants to view. No manual scorekeeping required.
Use case
Personalized Athlete Notifications and Coaching Triggers
Send personalized notifications whenever an athlete hits a personal record, completes a goal distance, or logs their first activity of the week. Connect Strava webhooks to messaging platforms like Twilio, SendGrid, or Intercom to deliver timely, context-aware messages. Fitness apps and coaching platforms can meaningfully improve athlete engagement and retention this way.
Use case
Strava Data Warehousing and Analytics
Stream Strava activity and athlete profile data into your data warehouse or BI tool to build long-term performance analytics dashboards. Automate recurring exports to Snowflake, BigQuery, or Google Sheets so your data team always has fresh data to work with. Sports science teams, fitness platforms, and brands that need population-level fitness insights tend to find this particularly useful.
Use case
E-Commerce Trigger Campaigns Based on Activity
Connect Strava activity events to your e-commerce or marketing automation platform to trigger product recommendations and promotions based on what athletes are actually doing. Automatically surface trail shoe recommendations after a user logs a trail run, or offer a recovery product after a long ride. Behavior-driven campaigns like these consistently outperform demographic-based targeting.
Use case
Corporate Wellness Program Reporting
Automate monthly or weekly wellness program reports by aggregating employee Strava activity data and generating summaries for HR teams. Pipe the data into Google Sheets or a BI dashboard, then auto-send a formatted report to HR leadership. This removes the manual compilation work that makes corporate wellness programs operationally expensive.
Use case
AI-Powered Training Plan Generation
Feed recent Strava activity history into an AI agent to generate personalized training plan recommendations for athletes. Use tray.ai to pull activity data from Strava, pass it to an LLM like OpenAI GPT, and deliver the resulting plan via email, Slack, or a coaching app. Coaching platforms can scale personalized guidance this way without hiring more coaches.
Build Strava Agents
Give agents secure and governed access to Strava through Agent Builder and Agent Gateway for MCP.
Data Source
Fetch Athlete Profile
Retrieve detailed profile information for an athlete, including fitness stats, location, and equipment. An agent can use this to personalize coaching recommendations or training plans.
Data Source
Retrieve Activity History
Pull a list of past activities — runs, rides, swims — with performance metrics like distance, pace, and heart rate. An agent can analyze trends to give tailored fitness insights.
Data Source
Get Activity Details
Fetch granular data for a specific activity including splits, segment efforts, and GPS route data. Useful for agents generating post-workout summaries or spotting performance improvements.
Data Source
Look Up Segment Performance
Retrieve an athlete's efforts on specific Strava segments, including best times and rankings. An agent can compare performance over time and flag areas for improvement.
Data Source
Fetch Club Information
Access details about Strava clubs an athlete belongs to, including member lists and recent club activities. An agent can use this to coordinate team challenges or group training plans.
Data Source
Monitor Starred Segments
Retrieve the list of segments an athlete has starred for tracking. An agent can monitor progress on these segments and alert the athlete when personal records are broken.
Data Source
Retrieve Athlete Zones
Fetch heart rate and power zones configured for an athlete. An agent can use this data to keep training recommendations within appropriate intensity ranges.
Agent Tool
Create Manual Activity
Log a new activity on behalf of an athlete when GPS or automatic tracking isn't available. Useful for recording gym sessions, indoor training, or any workout that didn't get tracked automatically.
Agent Tool
Update Activity Details
Edit metadata on an existing activity such as name, description, gear used, or privacy settings. An agent can automatically update activity records with context like weather conditions or training goals.
Agent Tool
Upload Activity File
Upload a GPX or FIT file to create a new Strava activity from a third-party device or app. An agent can pull in data from non-Strava devices to keep an athlete's activity history up to date.
Agent Tool
Give Kudos to Activity
Send kudos to another athlete's activity programmatically. An agent managing team engagement can automatically cheer on club members when they hit milestones or finish a challenge.
Agent Tool
Trigger Webhook Event Processing
React to real-time Strava webhook events — new activities, updated records — and kick off downstream workflows right away. An agent can fire off notifications, data syncs, or coaching responses the moment an athlete finishes a workout.
Get started with our Strava connector today
If you would like to get started with the tray.ai Strava connector today then speak to one of our team.
Strava Challenges
What challenges are there when working with Strava and how will using Tray.ai help?
Challenge
Handling Strava's OAuth Token Refresh Complexity
Strava uses short-lived OAuth access tokens that expire every 6 hours, so applications have to implement refresh token logic. For teams building integrations manually, managing token expiry across many athlete accounts creates real maintenance overhead and causes workflows to silently fail when tokens expire.
How Tray.ai Can Help:
tray.ai's Strava connector handles OAuth token management automatically, including refresh token cycling, so your workflows don't fail due to expired credentials. Authenticate once per athlete account and tray.ai manages the entire token lifecycle in the background.
Challenge
Webhook Event Delivery and Reliability
Strava's webhook API requires a publicly accessible subscription endpoint that correctly validates challenge requests. Building and maintaining a reliable webhook receiver means infrastructure setup, security validation, and retry handling — all of which add serious complexity to custom integrations.
How Tray.ai Can Help:
tray.ai provides a managed webhook trigger for Strava that handles subscription setup, endpoint validation, and reliable event delivery automatically. You get stable, scalable webhook infrastructure without any server management, so you can focus on the workflow logic instead.
Challenge
Normalizing Inconsistent Activity Data Across Sports
Strava activity payloads vary significantly by sport type. A swim has lap data that a ride doesn't, and GPS route data is absent for indoor activities. Custom integrations that don't account for these variations frequently break or push malformed records into downstream systems like CRMs or databases.
How Tray.ai Can Help:
tray.ai's workflow builder lets you add conditional logic and data transformation steps that handle sport-specific payload variations without breaking. You can branch workflows by activity type and map only the relevant fields to downstream systems, keeping your data clean without complex custom code.
Challenge
Connecting Strava Athlete Identities to Existing Records
One of the most common integration headaches is matching Strava athlete accounts to existing records in a CRM, database, or analytics platform. There's no universal shared identifier between Strava and most business tools, so teams end up building and maintaining custom identity resolution logic by hand.
How Tray.ai Can Help:
tray.ai lets you build identity resolution steps directly into your workflows using lookup operations against your CRM or database before syncing Strava data. You can match by email address, custom external IDs, or any field you store, and handle unmatched cases with configurable fallback logic like creating new records or routing to a review queue.
Challenge
Rate Limit Management for High-Volume Activity Syncs
Strava enforces API rate limits of 100 requests per 15 minutes and 1,000 requests per day per application, which creates real problems when syncing large numbers of athletes or backfilling historical data. Integration code that ignores these limits triggers 429 errors and can result in temporary API access suspension.
How Tray.ai Can Help:
tray.ai's workflow engine includes built-in rate limiting controls and retry logic with exponential backoff, so your Strava integrations automatically respect API limits without you needing to write throttling code. For large backfill jobs, you can configure scheduled workflows that spread requests across time windows to stay within Strava's daily quota.
Talk to our team to learn how to connect Strava with your stack
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Integrate Strava With Your Stack
The Tray.ai connector library can help you integrate Strava with the rest of your stack. See what Tray.ai can help you integrate Strava with.
Start using our pre-built Strava templates today
Start from scratch or use one of our pre-built Strava templates to quickly solve your most common use cases.
Template
Strava Activity to HubSpot Contact Update
Every time a contact completes a Strava activity, automatically update their HubSpot contact record with the latest workout details including activity type, distance, duration, and date.
Steps:
- Listen for new activity events using the Strava webhook trigger
- Look up the matching contact in HubSpot by athlete email or Strava athlete ID stored as a custom property
- Update the HubSpot contact record with the latest Strava activity data fields
Connectors Used: Strava, HubSpot
Template
Weekly Strava Club Leaderboard to Slack
Every Monday morning, automatically fetch the previous week's activity totals from a Strava Club, rank members by distance, and post a formatted leaderboard message to a designated Slack channel.
Steps:
- Trigger the workflow on a Monday morning schedule using tray.ai's scheduler
- Call the Strava API to fetch Club activities from the past 7 days and aggregate by athlete
- Sort athletes by total distance and post a ranked leaderboard message to the target Slack channel
Connectors Used: Strava, Slack
Template
New Strava PR Alert via SMS
Detect when an athlete sets a new personal record on Strava and immediately send them a congratulatory SMS through Twilio with their PR details and an encouraging note.
Steps:
- Receive a Strava webhook event and filter for activity types that contain a personal record achievement
- Extract the PR segment name, effort time, and previous best from the webhook payload
- Send a personalized SMS via Twilio including the PR details and congratulatory message
Connectors Used: Strava, Twilio
Template
Strava Activity Sync to Google Sheets Dashboard
Automatically append each new Strava activity to a Google Sheet, building a running log that feeds into a connected Looker Studio dashboard for ongoing analytics.
Steps:
- Trigger on each new Strava activity event via webhook
- Map activity fields including type, distance, moving time, average heart rate, and date to Google Sheets columns
- Append a new row to the Google Sheet, automatically refreshing any connected dashboard
Connectors Used: Strava, Google Sheets
Template
AI Training Summary Email After Long Run
When an athlete completes a run over a configurable distance threshold, automatically pull their recent activity history from Strava, send it to OpenAI, and email a personalized training feedback summary.
Steps:
- Trigger when a new Strava run activity exceeds the configured distance threshold
- Fetch the athlete's last 14 days of activities from Strava and format them as an AI prompt
- Send the prompt to OpenAI to generate a training analysis and email the result via SendGrid
Connectors Used: Strava, OpenAI, SendGrid
Template
Strava New Follower to Salesforce Lead
When a new athlete follows your Strava brand account or joins your Club, automatically create or update a lead in Salesforce so your team can follow up with partnership or sponsorship opportunities.
Steps:
- Poll the Strava API on a schedule to detect new Club members or followers
- Enrich the athlete profile by pulling additional data from the Strava athlete endpoint
- Create a new lead in Salesforce with the athlete's profile data and tag the lead source as Strava
Connectors Used: Strava, Salesforce