Activity Trackers & More
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Fitbit API offers a window into the rich data from Fitbit devices and user profiles, allowing you to access metrics such as step count, sleep quality, heart rate, and more. With these insights, you can create personalized health dashboards, automate fitness challenges, synchronize health data with other apps, or even build custom notifications for user activity milestones.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
fitbit: {
type: "app",
app: "fitbit",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.fitbit.com/1/user/-/profile.json`,
headers: {
Authorization: `Bearer ${this.fitbit.$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}}