✓ TestedWorks with CSV, Excel, Google Sheets → JSON-LD Schema
By dataclean.to team · 2026-02-12
Asana project exports contain email addresses for assignees, collaborators, and contacts referenced in task descriptions and custom fields. When you export this data for CRM updates, stakeholder analysis, or communication purposes, the emails need validation. dataclean.to processes Asana exports to ensure all email addresses are properly formatted, current, and deduplicated across your project data.
The Problem
Asana task exports include assignee emails, follower lists, and custom field values where team members enter contact information. Assignee emails may reference people who have since left the organization. Follower lists export as comma-separated email strings. Custom fields used for client or vendor contacts have no email validation built in, so they may contain partial addresses, notes, or placeholder text. Guest collaborator emails may use personal addresses that differ from professional ones. Asana help documentation
How to Fix It
1
Export project data from Asana
Export your Asana project as a CSV file. Include all task fields: assignee, collaborators, custom fields, descriptions, and completion status.
2
Upload to dataclean.to
Import the Asana CSV. The platform identifies email columns in assignee fields, follower lists, and custom fields, flagging non-email content mixed into email fields.
3
Extract and validate emails
Parse comma-separated collaborator lists into individual emails. Validate each address for correct format. Check domains for active email service.
4
Deduplicate and classify
Remove duplicate emails that appear across multiple tasks. Classify contacts as internal team (matching your company domain) versus external stakeholders.
5
Export clean contact list
Download a deduplicated list of validated email addresses with their role context (assignee, collaborator, client contact) from your Asana project data.
Frequently Asked Questions
How does dataclean.to handle Asana follower lists?
Asana exports followers as comma-separated email addresses in a single column. The platform splits these into individual rows, validates each email, and removes duplicates.
Can I identify which emails are internal vs external?
Yes. Provide your company email domain and dataclean.to classifies contacts as internal team members or external stakeholders based on their email domain.
What about emails in Asana task descriptions?
Task description text is not parsed for email addresses by default. If you have structured custom fields with email data, those are validated. Unstructured description text requires manual extraction.
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.