Learn R Programming

fitbitr - Explore your Fitbit data in R

fitbitr makes it easy to interface with Fitbit data in R.

Installation

You can install the CRAN version of fitbitr with:

install.packages("fitbitr")

Or you can install the latest development version from Github:

# install.packages("devtools")
devtools::install_github("mrkaye97/fitbitr")

Setup

There are a few steps you’ll need to do before you can start pulling your Fitbit data:

  1. Make an app here.

  2. Fill in the fields as you like (see image below for guidance).

  3. You’ll be redirected to a page with your credentials. Make sure you keep the Client ID, Client Secret, and Redirect URL. You’ll need them to finish the setup process. You can always refer back to the apps page to find them again.

  4. Generate a token:

    library(fitbitr)
    
    .fitbitr_token <- generate_oauth_token(
      oauth_app_name = <YOUR-APP-NAME>,
      client_id = <YOUR-CLIENT-ID>,
      client_secret = <YOUR-CLIENT-SECRET>
      callback = <YOUR-REDIRECT-URL>
    )
    • If you want to edit the scopes that are enabled, you can do so with the scopes = c('scopes', 'you', 'want', 'enabled') argument. You can find information on the available scope options here.
    • If you want to cache your token, you can do so by specifying either cache = TRUE or cache = <some-file-path>. See the docs on httr::oauth2.0_token() for details.
  5. And that’s it! You now have your Fitbit API credentials set up. fitbitr tracks them behind the scenes for you, so all that you need to do at the start of each R session is generate_token(). On a session restart, generate_token() will try to laod a token from your .httr-oauth if it exists.

Using fitbitr

Once you have a token, using fitbitr is very straightforward:

```r
> get_steps("2020-05-21", "2020-05-28")
# A tibble: 8 × 2
  date       steps
  <date>     <dbl>
1 2020-05-21  3734
2 2020-05-22  5107
3 2020-05-23  5640
4 2020-05-24  6595
5 2020-05-25  8466
6 2020-05-26  5833
7 2020-05-27  8616
8 2020-05-28  3161
```

fitbitr tries to return a useful, tidy object back to you from the API.

Known Issues / Futute Work

Given the structure of the Fitbit API, it doesn’t appear to be currently possible to use fitbitr outside of an interactive session. And furthermore, it doesn’t help that Fitbit refresh tokens only last 8 hours, at which point you’d need another interactive session to generate a new one.

For these reasons, it is not advised to try to use fitbitr non-interactively, such as in a Shiny app server, a CI/CD process, a background job, etc.

Copy Link

Version

Install

install.packages('fitbitr')

Monthly Downloads

222

Version

0.3.0

License

GPL (>= 3)

Issues

Pull Requests

Stars

Forks

Maintainer

Matt Kaye

Last Published

March 25th, 2023

Functions in fitbitr (0.3.0)

get_tracker_bests

Tracker Bests
get_minutes_very_active

Minutes Very Active Time Series
get_sleep_stage_summary

Nightly Sleep Stage Summary Data
get_sleep_summary

Nightly Sleep Summary
get_floors_intraday

Get intraday floors time series
get_floors

Floors Time Series
get_sleep_stage_granular

Granular Sleep Stage Data
%>%

Pipe operator
get_tracker_totals

Tracker Totals
get_steps_intraday

Get intraday steps time series
get_heart_rate_zones

Heart Rate Zones
get_steps

Steps Time Series
get_activity_calories

Activity Calories Time Series
get_distance_intraday

Get intraday distance time series
get_calories

Calories Time Series
generate_fitbitr_token

Generate an Oauth token
get_calories_intraday

Get intraday calories time series
perform_get

Perform a GET request
get_activity_summary

Activity Summary
get_distance

Distance Time Series
get_calories_bmr

Calories BMR Time Series
get_active_zone_minutes_intraday

Get intraday active zone minutes time series
get_minutes_fairly_active

Minutes Fairly Active Time Series
get_heart_rate_intraday

Get intraday heart time series
get_lifetime_totals

Lifetime Totals
get_intraday_time_series

Get an intraday time series
get_minutes_lightly_active

Minutes Lightly Active Time Series
get_minutes_sedentary

Minutes Sedentary Time Series
get_lifetime_bests

Lifetime Bests
get_elevation

Elevation Time Series
get_elevation_intraday

Get intraday elevation time series