✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
ClickUp workspaces with multiple spaces, folders, and lists naturally accumulate duplicate tasks. Teams copy lists between sprints, create the same task in different spaces without realizing it exists elsewhere, and import CSV data that overlaps with existing tasks. When you export your workspace for reporting or tool migration, these duplicates surface as inflated task counts. dataclean.to compares task names, descriptions, and assignees across your full ClickUp export to identify and consolidate duplicates.
The Problem
ClickUp's flexible hierarchy of spaces, folders, and lists makes it easy for the same work to be tracked in multiple places. A bug fix task might exist in the Engineering space and the QA space with slightly different names and independent status tracking. Sprint planning that involves copying lists from a backlog folder creates exact duplicates that diverge as teams update each copy separately. Exporting this workspace produces a CSV where task counts are unreliable, time estimates are doubled, and it is unclear which copy of a task reflects the current status. ClickUp CSV import and export documentation
How to Fix It
1
Export tasks from ClickUp
Navigate to the space or workspace level in ClickUp and use the export option to download tasks as CSV. Include task name, status, assignee, space, folder, list, priority, due date, and time estimate columns.
2
Upload the CSV to dataclean.to
Upload the exported task file. The tool analyzes task names and descriptions across all spaces and lists to identify duplicate clusters, including exact matches from copied lists and near-matches from independent task creation.
3
Review duplicate task clusters
Inspect each duplicate group. The tool shows which space and list each copy belongs to, the current status of each, and the assignee differences, helping you determine which is the authoritative version of each task.
4
Consolidate duplicates
Merge confirmed duplicate tasks into single entries. The tool preserves the most advanced status, combines time tracking data, and keeps subtasks from both copies. A space and list reference is maintained for traceability.
5
Export the clean task dataset
Download the deduplicated CSV. Use this for accurate workload reporting, capacity planning, or as a clean import file if migrating to another project management platform.
Frequently Asked Questions
Does the tool detect tasks duplicated across ClickUp spaces?
Yes. The deduplication works across the entire exported dataset regardless of ClickUp hierarchy. Tasks in different spaces with matching names and descriptions are flagged as potential duplicates.
How are copied ClickUp lists handled?
When a list is copied in ClickUp, all tasks get duplicated with identical names. The tool detects these bulk copy patterns by finding clusters of multiple matching tasks between two lists and lets you choose which list's copies to keep.
Can I reimport the cleaned data back into ClickUp?
Yes. ClickUp supports CSV imports. You can import the deduplicated file into a new space or list. Note that ClickUp does not support updating existing tasks via CSV import, so the clean data is best used for new imports or migrations.
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.