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Python client for Strava API with a focus on fluent data handling

Project description


Python client for Strava API with a focus on fluent data handling

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Build your own Year in Strava poster Jupyter notebook


pipenv install stravaio


pip install stravaio

Latest dev version could be installed as:

pipenv install git+

Before use

You need STRAVA_ACCESS_TOKEN with activity level permissions to make use of this package. Head to the strava-oauth library for help.

When the token is fetched it is handy to store it as an environment variable. Otherwise it should be passed explicitely to the StravaIO constructor.

export STRAVA_ACCESS_TOKEN=<strava_access_token>


from stravaio import StravaIO

# If the token is stored as an environment varible it is not neccessary
# to pass it as an input parameters
client = StravaIO(access_token=STRAVA_ACCESS_TOKEN)


# Get logged in athlete (e.g. the owner of the token)
# Returns a stravaio.Athlete object that wraps the
# [Strava DetailedAthlete](
# with few added data-handling methods
athlete = client.get_logged_in_athlete()

# Dump athlete into a JSON friendly dict (e.g. all datetimes are converted into iso8601)
athlete_dict = athlete.to_dict()

# Store athlete infor as a JSON locally (~/.stravadata/athlete_<id>.json)

# Get locally stored athletes (returns a generator of dicts)
local_athletes = client.local_athletes()


# Returns a stravaio.Activity object that wraps the 
# [Strava DetailedActivity](
activity = client.get_activity_by_id(2033203247)

# Dump activity into a JSON friendly dict
activity_dict = activity.to_dict()

# Store activity locally (~/.stravadata/activities_<athlete_id>/activity_<id>.json)

# Get list of athletes activities since a given date (after) given in a human friendly format.
# Kudos to [Maya: Datetimes for Humans(TM)](
# Returns a list of [Strava SummaryActivity]( objects
list_activities = client.get_logged_in_athlete_activities(after='last week')

# Obvious use - store all activities locally
for a in list_activities:
    activity = client.get_activity_by_id(

# List local activities (returns a generator of JSON friendly dicts)
activities = client.local_activitis(athlete_id=1202065)


# Returns a stravaio.Streams object that wraps the 
# [Strava StreamSet](
streams = client.get_activity_streams(2033203247)

# Dump streams into a JSON friendly dict
streams_dict = streams.to_dict()

# Store streams locally (~/.stravadata/streams_<athlete_id>/streams_<id>.parquet) as a .parquet file, that can be loaded later using the
# pandas.read_parquet()

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