✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
Monday.com workspaces develop duplicate items when team members add entries to multiple boards without coordination, when boards are duplicated for new projects with leftover items from previous ones, and when mirror columns create exported duplicates of items from connected boards. A sales pipeline board and a customer success board might both contain entries for the same account, each tracking different activities independently. dataclean.to identifies these cross-board duplicates in your Monday.com exports.
The Problem
Monday.com's workspace-and-board structure encourages teams to manage their own boards independently, leading to the same entities being tracked in multiple places. A project management workspace might have a client listed on the sales board, the active projects board, and the invoicing board as three separate items with inconsistent details. Exporting workspace data for executive reporting or CRM integration reveals these duplicates. Item counts used for workload analysis are inflated, status tracking across departments becomes unreliable when one board shows a task as complete while another still marks it as in progress, and automations trigger incorrectly when they run on duplicate items. Monday.com data export and import documentation
How to Fix It
1
Export boards from Monday.com
Navigate to each board, click the three-dot menu, and select Export board to Excel. For cross-workspace deduplication, export boards from all relevant workspaces and combine them with a source board column.
2
Upload the CSV to dataclean.to
Upload the combined board export. The tool compares item names, associated people, dates, and status values across boards to identify items that represent the same entity or work unit tracked in multiple places.
3
Review cross-board duplicate items
Examine groups of items from different boards that refer to the same client, project, or task. The tool shows status differences, owner assignments, and date discrepancies between the duplicate entries.
4
Consolidate duplicate items
Merge confirmed duplicates into single canonical items. The tool combines status information, notes, and timeline data from all boards into the surviving record, noting which boards referenced the item.
5
Export the clean dataset
Download the deduplicated CSV. Use the results to clean up Monday.com by consolidating items onto primary boards and replacing duplicates with mirror columns or linked items that reference the canonical entry.
Frequently Asked Questions
How does the tool handle Monday.com mirror columns?
Mirror columns export as regular data in CSV files. Items that appear identical because they mirror data from a connected board are identified and flagged. The tool recommends which entry is the source and which is the mirror.
Can it find duplicates across Monday.com workspaces?
Yes. Export boards from different workspaces, combine them into a single CSV with workspace and board columns, and upload. The tool compares items across the entire dataset regardless of their workspace or board origin.
Will subitems be included in the deduplication?
Subitems export as separate rows in Monday.com CSV exports. The tool treats them as child entries and groups them with their parent items. Duplicate parent items have their subitems combined during the merge process.
Example: Input → Output
name
email
phone
city
status
Alice Johnson
alice@example.com
+1-555-0101
New York
active
alice johnson
ALICE@EXAMPLE.COM
5550101
new york
Active
Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.