Async python script to list oauth clients and scopes returning 403

NICE CXone API & Integrations
1

stuck on retrieving a complete list of oauth clients and their assigned scopes via the python httpx async client. i am building a fastapi proxy that needs to audit our org’s client permissions, but i am hitting a wall with the /api/v2/oauth/clients endpoint.

i have a service account with oauth:client:read and oauth:client:write scopes. my understanding is that read should suffice for listing, but i am getting a 403 forbidden response with the message insufficient permissions.

here is my current implementation using httpx with exponential backoff for rate limiting:

import httpx
import asyncio

async def list_oauth_clients(base_url, token):
 headers = {
 "authorization": f"bearer {token}",
 "content-type": "application/json"
 }
 
 async with httpx.AsyncClient() as client:
 url = f"{base_url}/api/v2/oauth/clients"
 params = {"pageSize": 200}
 
 try:
 response = await client.get(url, headers=headers, params=params)
 response.raise_for_status()
 return response.json()
 except httpx.HTTPStatusError as e:
 print(f"error fetching clients: {e.response.status_code} - {e.response.text}")
 return None

the token is fresh and works for other endpoints like /api/v2/organizations. i have verified the service account permissions in the ui multiple times. is there a specific additional scope required for this endpoint that is not documented in the openapi spec? or is this a known issue with service accounts accessing oauth client data?

also, once i get the client list, how do i programmatically fetch the detailed scope assignments for each client? i see /api/v2/oauth/clients/{id} returns basic info, but i need the full scope array to compare against our policy baseline. any insights on the correct endpoint or payload structure for that would be appreciated.

2

it depends, but generally… you are hitting the 403 because the service account lacks the specific scope required to list all clients, not just its own. the oauth:client:read scope is restrictive. in my django/celery pipelines, i use the admin:oauthclient scope for bulk auditing. if you do not have admin rights, you are out of luck.

also, your python httpx implementation is likely timing out or missing the pagination headers. genesys cloud returns large datasets in chunks. here is the pattern i use in my celery workers to fetch all clients without hitting rate limits or memory issues.

import httpx
from purecloudplatformclientv2 import Configuration, ApiClient

# assume config is loaded with client credentials
config = Configuration()
config.host = "https://api.mypurecloud.com"
config.access_token = get_access_token() # your token logic

api_client = ApiClient(configuration=config)
oauth_api = api_client.OauthApi()

all_clients = []
continuation_token = None

while True:
 # fetch page
 response = oauth_api.post_oauth_clients(
 body={"pageSize": 100, "continuationToken": continuation_token}
 )
 
 all_clients.extend(response.entities)
 
 if not response.continuation_token:
 break
 continuation_token = response.continuation_token

print(f"fetched {len(all_clients)} clients")

note the post_oauth_clients endpoint. the get endpoint is often deprecated for bulk operations in newer sdk versions. also, ensure your django settings have timeout configured correctly for celery tasks. i set it to 60 seconds. if you are still getting 403, check the user’s group permissions in genesys cloud. the service account must be in a group with admin:oauthclient scope assigned. do not use authorization code flow for this. stick to client credentials.

3

It depends, but generally…

  • Confirm the service account possesses admin:oauthclient as oauth:client:read is insufficient for bulk listing.
  • Implement pagination handling in your httpx loop to process all pages, as the initial response may not contain the full dataset.
4

You might want to check at the scope hierarchy. admin:oauthclient is indeed required for bulk listing.

  1. Grant the service account admin:oauthclient.
  2. Implement pagination in your httpx loop to fetch all pages.
  3. Cache results in your GraphQL gateway to avoid redundant API calls.
5

Pretty sure the admin:oauthclient scope is mandatory here. I run similar audits in my ETL pipelines and oauth:client:read only lets you see your own client details. You need the broader administrative privilege to list all clients in the organization. Here is how I handle this in Python using the PureCloudPlatformClientV2 SDK, which manages pagination and token refresh automatically. It is much more reliable than raw httpx for this specific task. 1. Install the SDK via pip. 2. Initialize the platform client with your service account credentials. 3. Use the oauth_api module to fetch the list. The SDK handles the cursor pagination internally if you configure the query correctly, but for a simple list, the default call works. Ensure your service account has the admin:oauthclient scope assigned in the Admin UI under Applications. Without it, no amount of code tweaking will bypass the 403 Forbidden response. I usually export this data to a pandas DataFrame for quick analysis before pushing it to S3. Do not try to implement custom pagination logic with httpx unless you are comfortable handling the Link header parsing manually, which is error-prone. The SDK abstracts that complexity away. Also, verify that your service account is not restricted by any organizational unit policies that might limit visibility. If you still see errors after adding the scope, check the token expiration time. Genesys tokens expire quickly, so ensure your refresh logic is robust. I have seen issues where the initial token is valid but the refresh fails due to missing offline_access scope. Add that to your client configuration to prevent mid-query failures. This setup has been stable for my analytics workflows for years.