A convenience package for accessing your Google Fit data. It wraps the google python into a few functions to easily access your data. This library is written with read-only intention in mind. There are no helper functions to write to your Google Fit data.

Clone this repo and install it into your python environment

git clone https://github.com/timvancann/py-google-fit.git
cd py-google-fit && python setup.py install

Start by creating an instance of the GoogleFit object:

from py_google_fit.GoogleFit import GoogleFit
fit = GoogleFit(client_id, client_secret)

Fill in your own client_id and client_secret, create them in your Google developer console

To authenticate, call the authenticate function:

fit.authenticate()

By default it will request read access to three google fit scopes of your account: body, activity and nutrition. If you haven't ran this function before. A browser will open asking you to give access.

Currently supported data is steps and weight. Feel free request more or create a PR.

To get your stepcount for today up till now:

from py_google_fit.GoogleFit import GFitDataType
fit.average_today(GFitDataType.STEPS)

And similar for your weight:

fit.average_today(GFitDataType.WEIGHT)

To get some trend data, a rolling average is usually a good metric:

fit.rolling_daily_average(GFitDataType.STEPS, n=14)