Overview
Manually pulling detailed item data from Monday.com is slow and error-prone, especially when you need linked items and subtasks. This workflow automates full extraction of an item’s core info, column values, board relations, and subitems, delivering a clean JSON snapshot ready for backups, integrations, or audits.
The Impact
- Extract All Data. Retrieve item info, columns, linked items, and subtasks in one go.
- Automate Backups. Create reliable offline snapshots of critical project data.
- Sync Systems. Push comprehensive item data into CRMs, BI tools, or warehouses.
- Streamline Migration. Export structured data for audits or board transfers effortlessly.
Who This Is For
- Project Administrators managing backups and recovery of Monday.com items.
- Integration Engineers syncing item data and relationships with external systems.
- Product Managers preparing data exports for migration or auditing.
- Data Analysts extracting structured item details for reporting or analysis.
How It Works
- Fetch Item Data
- Retrieve the full item record by ItemId from Monday.com, including all column values.
- Parse Columns
- Index columns by ID and title; extract linked item IDs from board_relation and subitem IDs from subtasks.
- Process Linked Items
- Check for linked items, bulk fetch them if present, and format into structured boardrelations data.
- Process Subitems
- Check for subitems, retrieve them if any, and flatten their column data into an accessible format.
- Combine All Data
- Merge main item info, indexed columns, boardrelations, and subitems into a final JSON output.
What You'll Need
Before using this template, make sure you have:
- Valid Monday.com API credentials with permission to access items and boards.
- The specific ItemId (pulse ID) of the Monday.com item to extract, typically found in the item's URL.
How to Use
- Step 1. Configure Credentials
- Step 2. Provide ItemId
- Step 3. Run Data Extraction
- Step 4. Review JSON Output
- Step 5. Verify Results
Set up your Monday.com API credentials in the workflow to enable data access.
Enter the string ItemId of the target Monday.com item you want to extract.
Trigger the workflow to pull the item data, parse columns, and fetch linked items and subitems.
Check the structured JSON result combining all item details, relations, and subitems.
Confirm that all expected data—including linked items and subtasks—are present and correctly formatted.
