Time tracking software
Emit new event when a time entry is started. See docs here
Emit new event when a time entry is created. See docs here
Emit new event when a time entry is updated. See docs here
Emit new event on receive a webhook event. See docs here
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Get the time entry that is running now. [See docs here]https://developers.track.toggl.com/docs/api/time_entries#get-get-current-time-entry)
Toggl Track is a time tracking API that lets you start, stop, and manage timers and time entries, as well as manage projects, clients, and tasks associated with time records. With the Toggl Track API on Pipedream, you can automate time tracking activities, synchronize data across platforms, and generate insights from time tracking data to improve productivity and project management.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
toggl: {
type: "app",
app: "toggl",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.track.toggl.com/api/v9/me`,
auth: {
username: `${this.toggl.$auth.api_token}`,
password: `api_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}}