Hey folks.
I’m spinning up a Python script to pull historical queue stats every night. It’s strictly server-side, no human interaction involved. Just hitting the API, saving to CSV, done.
Right now I’ve got the Client Credentials flow working fine. Grab the token, make the calls, repeat. Looks like this:
import requests
url = "https://api.mypurecloud.com/oauth/token"
payload = {
"grant_type": "client_credentials",
"client_id": "my_client_id",
"client_secret": "my_secret"
}
response = requests.post(url, data=payload)
token = response.json()['access_token']
It works. But I keep reading warnings that Client Credentials is “restricted” or that I should use Authorization Code with PKCE for security. Since there’s no browser or user login, how do I even use Auth Code? Do I have to spin up a hidden browser instance just to get a refresh token?
Feels like overkill for a background job. Is Client Credentials actually safe here, or am I missing a major security hole?
Client credentials is the right choice here. You don’t need auth code for a headless script. Just make sure you scope it correctly so you don’t hit permission walls later.
Here is the Python setup using requests. It handles the token refresh automatically if you use a session, but for a nightly batch job, a simple script works fine.
import requests
AUTH_URL = "https://api.mypurecloud.com/oauth/token"
API_URL = "https://api.mypurecloud.com/api/v2/analytics/queues/summary"
# Client ID and Secret from your integration settings
CLIENT_ID = "your_client_id"
CLIENT_SECRET = "your_client_secret"
def get_token():
response = requests.post(AUTH_URL, data={
"grant_type": "client_credentials",
"client_id": CLIENT_ID,
"client_secret": CLIENT_SECRET,
"scope": "analytics:report:read"
})
response.raise_for_status()
return response.json()["access_token"]
def pull_stats(token):
headers = {"Authorization": f"Bearer {token}"}
params = {
"interval": "2023-01-01T00:00:00Z/2023-01-02T00:00:00Z",
"groupBy": "queue",
"metrics": "offerCount,answerCount"
}
response = requests.get(API_URL, headers=headers, params=params)
return response.json()
token = get_token()
data = pull_stats(token)
print(data)
The main thing to watch is the scope. If you only request analytics:report:read, you can’t pull user data or modify anything. Keep the scope narrow. Don’t use admin scope unless you have to. It breaks least privilege and audit logs get messy.
Also, Genesys Cloud tokens expire in an hour. If your script runs long, you’ll need to refresh. For nightly runs, it’s usually fine. If you move to real-time, look into the refresh token flow, but that requires a user context which you don’t have here.
Stick with client credentials. It’s simpler and safer for server-to-server.