Python-script to programmatically access your Sibionics CGM data via a dedicated follower account.

pysibionics.py

import requests
import hashlib

# use a dedicated follower-account as there can only be one valid access_token per user
# and you will get logged out of the app
password = 'hunter42'
username = 'sibionicsfollower@example.com'

# login in and acquire access token
req = requests.post("https://cgm-ce.sisensing.com/auth/app/user/login",
            headers={"Accept-Encoding": "application/json"},
            json={
                "email": username,
                "password": hashlib.md5(password.encode('utf-8')).hexdigest(),
            },
)
print(req.json()) 
access_token = req.json()['data']['access_token']

# acquire list of sharers and their ids - already contains the "latesValue" in mmol/L
req = requests.get("https://cgm-ce.sisensing.com/user/app/follow/sharer",
    headers={
        "Accept-Encoding": "application/json", 
         "Authorization": access_token
    }
)
print(req.json()) 

# acquire the current and historic glucose data - seems to be always in mmol/L
req = requests.post("https://cgm-ce.sisensing.com/user/app/follow/deviceGlucose",
    headers={
        "Accept-Encoding": "application/json", 
         "Authorization": access_token
    },
    json={
        "range": "24", # hours for which to get the data
        "id": req.json()['data'][0]['id'] # id for which to get the data
    },
)
print(req.json())