Time Doctor
Workforce Analytics Platform. Get Peace of Mind with Workforce Analytics for In House, Fully Remote. Distributed Teams.
Integrate the Time Doctor API with the Python API
Setup the Time Doctor API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Time Doctor and Python remarkably fast. Free for developers.
Popular Time Doctor and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Time Doctor#
The Time Doctor API lets you tap into detailed data on how you or your team spend work hours. With Pipedream's serverless platform, you can automate actions based on this data, like logging work hours, analyzing productivity, or integrating with other business tools to streamline workflows.
Connect Time Doctor#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
time_doctor: {
type: "app",
app: "time_doctor",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api2.timedoctor.com/api/1.0/authorization`,
params: {
token: `${this.time_doctor.$auth.oauth_access_token}`,
},
})
},
})
Overview of Python#
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:
Connect Python#
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}}