Export to JSON Lines
Exporting your Trello data to JSON Lines (JSONL) format using Cross-Board Export allows you to capture each record as a separate line in a single file. This format is ideal for processing large datasets, streaming data, and integrating with machine learning models or data pipelines.
Step 1: Access Cross-Board Export
Open your Trello board where the Cross-Board Export is installed.
Click on the Cross-Board Export icon located at the top of your board to access the export menu.
Step 2: Select Boards and Workspaces
In the Cross-Board Export interface, select the Trello boards and workspaces you want to export data from. Multiple boards can be selected at once, making it easy to manage and consolidate your data.
Use the search or filter options to quickly locate the boards relevant to your export.
Step 3: Choose JSON Lines Format
In the Export Format section, select JSON Lines (JSONL) as your export format.
Preview the export settings to ensure all necessary fields are included.
Step 4: Customize Your Export
Select Fields: Choose the standard Trello fields to include in your JSON Lines export, such as card titles, descriptions, due dates, labels, and members.
Include Custom Fields: Add custom fields to ensure your specific data needs are captured accurately.
Export Checklists: Include checklists to maintain task-level details within your JSON Lines file.
Step 5: Set Export Options (Optional)
Data Range: Specify a date range to filter your data and export only the most relevant information.
Filter by Labels or Members: Narrow down your export to include cards with specific labels or assigned to particular members.
Step 6: Start the Export
After setting up your configuration, click the Export button to start the export process.
Your JSON Lines file will be generated, with a confirmation message appearing once the export is complete.
Step 7: Download or Receive by Email
Download your JSON Lines file directly from the Cross-Board Export interface or opt to have it sent to your configured email address.
Tips for Using JSON Lines Exports
Big Data Processing: JSON Lines format is perfect for handling large datasets, as each line represents a separate record, making it easy to process and stream.
Data Pipelines and Machine Learning: Use JSON Lines for efficient data ingestion into machine learning models or analytics pipelines.
Easy Parsing: JSON Lines can be easily parsed by a variety of programming languages, making it ideal for developers and data scientists.
Need Help? If you encounter any issues or need further assistance, please contact our support team at admin@rabbit-exp.com.
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