dataclean.to

Clean Email Addresses from ClickUp Workspace Exports

✓ Tested Works with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12

ClickUp workspaces store email addresses in assignee fields, custom fields used as CRM-style contact trackers, and task descriptions where team members paste stakeholder information. When exporting this data for reporting or migration, the email fields need cleaning. dataclean.to validates ClickUp email data and removes the formatting artifacts that workspace exports introduce.

The Problem

ClickUp task exports include assignee emails that may reference removed workspace members. Custom email fields lack validation, so entries range from proper addresses to partial text and placeholder notes. Multiple assignees export as comma or semicolon-separated strings. ClickUp's export format wraps some fields in extra quotes. Task watchers create additional email references that duplicate assignee data. Spaces and lists that were shared externally may contain guest emails that are no longer valid. ClickUp data export documentation

How to Fix It

1
Export ClickUp workspace data
Export tasks from your ClickUp workspace as CSV. Include assignees, custom fields (especially any email-type fields), and watcher lists.
2
Upload to dataclean.to
Import the ClickUp CSV. The platform parses multi-assignee fields, identifies email-type custom fields, and flags entries with invalid formats or placeholder text.
3
Parse and validate emails
Split multi-assignee fields into individual email addresses. Validate format and domain. Remove placeholder text like 'TBD' or 'no email' from email fields.
4
Remove stale workspace contacts
Flag email addresses of removed workspace members. Identify guest collaborator emails that may no longer be valid. Deduplicate across tasks, spaces, and lists.
5
Export clean contact list
Download a validated list of unique email addresses with their workspace context (which spaces, lists, and tasks they are associated with).

Frequently Asked Questions

How does dataclean.to handle ClickUp's multi-assignee fields?
ClickUp exports multiple assignees as comma-separated emails in a single column. The platform splits these into individual entries, validates each one, and maintains the task association for every assignee.
Can I clean email custom fields from ClickUp?
Yes. ClickUp custom fields of type 'email' or 'text' that contain email addresses are validated. The platform detects email-like content even in generic text custom fields.
What about ClickUp guest users?
Guest users invited to specific tasks or lists have their emails included in exports. dataclean.to validates these but cannot determine whether the guest invitation is still active.

Example: Input → Output

nameemailphonecitystatus
Alice Johnsonalice@example.com+1-555-0101New Yorkactive
alice johnsonALICE@EXAMPLE.COM5550101new yorkActive

Red rows show common data quality issues. dataclean.to normalizes and generates JSON-LD automatically.

{
  "@context": "https://schema.org",
  "@type": "Dataset",
  "name": "Cleaned Customer Data",
  "description": "Normalized customer records with standardized fields",
  "keywords": ["customer data", "CRM", "contact list"]
}
💡 How it works: Consistent data formatting reduces import errors and makes your dataset compatible with downstream tools.

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