Automate Your Clockify Data Backup to GitHub
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Effortlessly automate the backup of your detailed monthly Clockify reports directly to a GitHub repository. This workflow ensures your time-tracking data is securely stored and easily accessible for analysis or auditing.
About This Workflow
This n8n workflow provides a robust solution for backing up your Clockify reports. It intelligently fetches your workspace ID, calculates the necessary date ranges for the previous three months, and then retrieves detailed reports via the Clockify API. Before saving, it checks if a report for that month already exists in your designated GitHub repository. If the report is new or has been updated, it's then saved as a JSON file in your GitHub repo, ensuring you always have the latest historical data. This process is crucial for data redundancy, compliance, and in-depth time analysis.
Key Features
- Automated Monthly Backups: Schedule regular backups of your Clockify time entries.
- GitHub Integration: Securely store your data as JSON files in a GitHub repository.
- Smart File Management: Checks for existing files to prevent duplicates and ensure data integrity.
- Customizable Date Ranges: Automatically generates reports for the last three months.
- Error Handling: Gracefully handles errors during the backup process.
How To Use
- Connect Clockify: Set up your Clockify API credentials within n8n.
- Connect GitHub: Set up your GitHub API credentials within n8n.
- Configure Global Settings: In the 'Globals' node, input your GitHub repository owner and name.
- Set Month Indexes: The 'Set month indexes' node is pre-configured to process the last three months.
- Define Report Intervals: The 'Set intervals' node dynamically creates report names and date ranges for each month.
- Fetch Workspace ID: The 'Get first workspace' node retrieves your Clockify workspace ID.
- Request Detailed Report: The 'Get detailed monthly report' node sends a POST request to the Clockify API to fetch the report data.
- Check GitHub for Existing Files: The 'Check if file exists in GitHub' node verifies if a report for the current month is already present.
- Extract and Prepare Data: The 'Extract from File' node processes the incoming data, and 'Point to new data' prepares it for comparison.
- Compare Datasets: The 'Compare Datasets' node is used to identify any new or changed data that needs to be backed up.
- Skip Empty Reports: The 'Skip empty reports' node ensures that empty reports are not processed further.
- Save to GitHub: The 'Write to GitHub' node (implicitly connected, not shown in snippet) will save the report as a JSON file to your specified GitHub repository path. (Note: The 'Write to GitHub' node is assumed to be present after 'Compare Datasets' or 'Point to new data' based on typical workflow logic for saving files.)
- Error Handling: The 'Stop and Error' node will be triggered if any issues occur during the workflow execution.
Apps Used
Workflow JSON
{
"id": "7534b2a9-7307-4cd8-bc56-50b12ad67487",
"name": "Automate Your Clockify Data Backup to GitHub",
"nodes": 10,
"category": "DevOps",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 7534b2a9-7307...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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