Automated Strava Data Visualization

Reporting

Fitness

Requirements

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CREATED BY

Julius Pau

This n8n workflow retrieves activity data from your Strava account, allowing you to filter by specific activity types such as cycling, running, or walking.

It then processes this data to calculate and visualize key metrics like total yearly distance, time, and elevation gain for the selected activities, providing a comprehensive overview of your fitness progress.

Workflow Steps

This automated workflow follows a simple, yet powerful sequence:

1. Manual Trigger (Configurable)

Initiate the workflow manually with a click. Alternatively, configure it to run on a schedule (e.g., weekly) or automatically trigger upon new Strava activity uploads.

2. Strava Data Retrieval

Fetch all recorded activities from your Strava account, ensuring no workout is missed.

3. Data Cleaning and Formatting

Process and standardize the raw Strava data. Convert time, distance, and other metrics into easily understandable and usable formats.

4. Activity Type Filtering

Select and isolate specific sport activities (e.g., cycling, running, walking) from your complete Strava history. Focus your analysis.

5. Metrics Calculation

Calculate key performance indicators for each year and selected sport, including the number of events, total distance, elevation gain, and total time.

6. Data Table Creation

Organize the calculated metrics into a structured table, ready for integration with external tools like Google Sheets for further analysis or record-keeping.

7. Data Appending for Charting

Prepare and append the processed data, specifically formatted for use with Quickchart nodes to generate visualizations.

8. Quickchart Graph Generation

Utilize Quickchart nodes to create insightful graphs based on the appended Strava data, providing a visual representation of your fitness progress.

Requirements

To get started, you’ll need: