Designed by athletes, for athletes, Strava's mobile app and website connect millions of runners and cyclists through the sports they love.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Returns the given activity that is owned by the authenticated athlete. See the docs
Returns the activities of an athlete for a specific identifier. See the docs
Returns the activity stats of an athlete. Only includes data from activities set to Everyone visibilty. See the docs
The Strava API lets you tap into the robust data from Strava's fitness app, which is a playground for athletes worldwide to track their workouts. With Pipedream, you can automate actions based on activities uploaded to Strava, such as running, biking, or swimming. Imagine syncing workout data to spreadsheets for analysis, auto-posting achievements to social media, or integrating with calendar apps for better scheduling. Pipedream's serverless platform makes it a breeze to create workflows that can listen for Strava webhooks, process data, and trigger actions in countless other apps.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
strava: {
type: "app",
app: "strava",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.strava.com/api/v3/athlete`,
headers: {
Authorization: `Bearer ${this.strava.$auth.oauth_access_token}`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}