This is an unlikely library to access your Jamberry consultant workstation information in Python. Some of the information is scraped using BeautifulSoup (via mechanicalsoup), and some is pulled from CSV/JSON reports.
First method -- quick/easy
pip install git+git://github.com/soundstripe/jamberry.git
Second method -- useful if you want to contribute or extend this work
git clone --depth=1 https://github.com/soundstripe/jamberry.git
cd jamberry
python setup.py develop
Example: count the number of each consultant type in your downline
from collections import Counter
import jamberry
ws = jamberry.JamberryWorkstation('username', 'password')
consultant_types = Counter()
for consultant, activity in ws.downline_consultants():
consultant_types['consultant.consultant_type] += 1
print(consultant_types)
Output:
Counter({'Fast Start': 10, 'Hobbyist': 180, 'Professional Consultant': 96})
If you do not provide a username and password when creating a
JamberryWorkstation, the object will look for a file called jamberry.ini
in your current working directory. Example:
[credentials]
username = AJamLady@morenailwraps.com
password = hunter2