Exporting People Data

Person Export CSV Column Reference

This document describes all columns included in the Person export CSV file generated by the Profyle Card enterprise portal.

Standard Columns

Identity & Contact Information

Column Name Description Example
id Unique identifier for the person abc123xyz
prefix Name prefix/title (translatable) Dr.Ms.Mr.
first_name Person’s first name (translatable) John
last_name Person’s last name (translatable) Smith
email Email address john.smith@example.com
mobile Mobile phone number +1234567890

Professional Information

Column Name Description Example
position Job title/position (translatable) Senior Developer
department Department name (translatable) Engineering
nominals Post-nominal letters/credentials (translatable) PhDMBACISSP
pronouns Preferred pronouns (translatable) she/herthey/them
bio Biography/about text (translatable) Experienced software engineer...

NFC Card Information

Column Name Description Example
nfc_card_id First 6 characters of the assigned NFC card ID ABC123
nfc_card_enabled Whether the assigned NFC card is enabled truefalse

Social Media & Web Presence

Column Name Description Example
linked_in LinkedIn profile URL https://linkedin.com/in/johnsmith
twitter Twitter/X handle or URL @johnsmith
instagram Instagram handle or URL @johnsmith

Organisation & Grouping

Column Name Description Example
group Name of the group the person belongs to Sales TeamLondon Office
address Custom address string (semicolon-separated) when not using Locations (below) 123 Main St;Suite 100;London;;SW1A 1AA;GB

Location Settings

Column Name Description Example
locations Location display mode disabledgrouplistcustom
location_ids Array of location IDs associated with person "xyz123456,abc987654"

Location Modes:

  • disabled – No location shown
  • group – Inherit locations from group
  • list – Show specific locations from location IDs
  • custom – Use custom address fields

Linked Profyles Settings

Column Name Description Example
linked_profyles Linked profyles display mode disabledgrouplist
linked_profyle_ids Array of linked person IDs "abc123def,987xyz123"

Linked Profyles Modes:

  • disabled – No linked profyles shown
  • group – Show all people in the same group
  • list – Show specific people from linked profyle IDs

Custom Fields

Custom field columns are dynamically added based on your organization’s configuration:

Column Name Format Description Example
cf_<field_id> Custom field value cf_employee_id_a54ffcf_office_phone_e331d

Each custom field defined in your organization settings will appear as a separate column with the prefix cf_ followed by the custom field’s unique identifier.

Metadata Columns

Timestamps

Column Name Description Format Example
created_at When the person was created ISO 8601 2024-01-15T10:30:00.000Z
last_updated When the person was last modified ISO 8601 2024-03-20T14:45:30.000Z
last_profyle_view When the person’s Profyle was last viewed ISO 8601 2024-03-25T09:15:00.000Z

Analytics

Column Name Description Example
views_counter Total number of Profyle views 142
intros_counter Total number of introductions made 23

Notes

Translatable Fields

The following fields support multiple language translations:

  • prefix
  • first_name
  • last_name
  • pronouns
  • nominals
  • position
  • department
  • bio

The CSV export shows the English (default) version of these fields. Translations for other languages are stored separately in the database but not included in the CSV export.

Address Format

The address column contains a semicolon-separated string with the following components in order:

  1. Line 1 (street address)
  2. Line 2 (building/suite)
  3. City
  4. Region/State
  5. Postcode/ZIP
  6. Country (2-letter ISO code)

Example: 123 Main Street;Suite 400;New York;NY;10001;US

Array Fields

The following fields contain arrays and are exported as comma separated lists of IDs:

  • location_ids
  • linked_profyle_ids

Usage

This CSV export can be used for:

  • Backing up person data
  • Bulk editing in spreadsheet applications
  • Importing into other systems
  • Data analysis and reporting
  • Compliance and audit purposes

Note: when importing, ensure date fields are parsed as ISO 8601 format.

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