API data about un-created organizations

Hey 1900360390924 - 

In Zendesk, querying domains from end-users that have not had an organization created is indeed a bit complex, as there's no direct endpoint or feature in the Zendesk API that provides a list of these domains directly. Your approach of querying end-user aliases, extracting domains, and then comparing them with existing organizations is one way to do it, albeit not the most efficient.

Here's a more streamlined approach to achieve this:

1. **Extract Domains from User Emails:**
   - Use the Zendesk API to list users (`/api/v2/users.json`).
   - Extract the domain part of their email addresses.

2. **Get Existing Organization Domains:**
   - Use the Zendesk API to list organizations (`/api/v2/organizations.json`).
   - Extract the domain names associated with these organizations.

3. **Compare and Identify Unassociated Domains:**
   - Compare the list of user email domains with the organization domains.
   - Identify domains that are present in the user list but not in the organization list.

This process can be automated using a script. Here’s a basic outline in pseudocode:

```pseudocode

user_domains = set()
org_domains = set()

# Get all users
users = GET /api/v2/users.json
for user in users:
    domain = extract_domain(user.email)
    user_domains.add(domain)

# Get all organizations
orgs = GET /api/v2/organizations.json
for org in orgs:
    domain = extract_domain_from_org(org)  # Assuming organizations have domain info
    org_domains.add(domain)

# Find unassociated domains
unassociated_domains = user_domains - org_domains
```

Note:
- **Pagination**: Both user and organization endpoints are paginated, so ensure your script handles this.
- **Rate Limits**: Be mindful of Zendesk's API rate limits.
- **Domain Extraction Logic**: You'll need to write logic to extract domain names from email addresses and organization information.

This method is more efficient than querying each user and organization repeatedly. It focuses on gathering all necessary data first and then processing it, which is generally faster and puts less load on the API.