Clockify Backup Template
This workflow automatically retrieves monthly time tracking reports from Clockify and backs up the data to a GitHub repository. It supports data backups for the last three months and can intelligently update existing files or create new ones, ensuring the integrity and accuracy of the data. By performing regular backups, it mitigates the risk of time tracking data being lost due to online changes, making it suitable for individuals and teams that prioritize data security and version control, thereby enhancing management efficiency and reliability.
Tags
Workflow Name
Clockify Backup Template
Key Features and Highlights
This workflow automates the retrieval of detailed monthly time tracking reports from Clockify and backs up the report data to a GitHub repository. It supports backing up time data for the most recent three months, intelligently detects whether the corresponding report files exist in GitHub, and updates existing files or creates new ones accordingly. This ensures data integrity and historical accuracy.
Core Problems Addressed
Time tracking data in Clockify may change over time (e.g., tag adjustments), and relying solely on online data risks data loss or tampering. This workflow periodically backs up Clockify reports to GitHub, enabling versioned storage and secure backup of time data. It effectively solves issues related to data persistence and historical traceability.
Use Cases
- Freelancers, teams, and enterprises requiring long-term preservation and management of time tracking data
- Project managers seeking version control and historical analysis of work time data
- Technical teams aiming to automate backup workflows to minimize manual operation risks
Main Workflow Steps
- Scheduled trigger activates the workflow daily at 5 AM.
- Retrieve the first available Clockify workspace ID.
- Set the backup time range (defaulting to the start and end dates of the most recent three months).
- For each month, call the Clockify Reports API to obtain detailed time entry data.
- Check if the report file for the corresponding month exists in the GitHub repository.
- If the file exists, extract and compare differences between new and old data, then update the file content accordingly.
- If the file does not exist, create a new file to save the report data.
- Filter out empty reports to avoid generating invalid files.
- Handle potential errors and halt the workflow on exceptions.
Involved Systems or Services
- Clockify API: Retrieve time tracking data and detailed reports
- GitHub API: Check, create, and update report files
- n8n Scheduler Trigger: Execute automation tasks on a schedule
Target Users and Value Proposition
This workflow is ideal for individuals and teams using Clockify for time management who prioritize data security and version control. Automated backups ensure that critical time tracking data is never lost, while leveraging GitHub for version management facilitates easy future queries and audits. This significantly enhances the efficiency and reliability of time data management.
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