Google Tasks
Use Google Tasks to keep track of important to-dos that sync across all your devices.
Integrate the Google Tasks API with the Python API
Setup the Google Tasks API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Google Tasks and Python remarkably fast. Free for developers.
Popular Google Tasks and Python Triggers#
Emit new event for each task added to Google Tasks. See the documentation
Emit new event for each task added or updated to Google Tasks. See the documentation
Popular Google Tasks and Python Actions#
Creates a new task and adds it to the authenticated user's task lists. See the docs here
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates a new task list and adds it to the authenticated user's task lists. See the docs here
Deletes the authenticated user's specified task. See the docs here
Deletes the authenticated user's specified task list. See the docs here
Overview of Google Tasks#
The Google Tasks API allows you to manage and manipulate a user's tasks and task lists on Google Tasks directly from Pipedream. With this API, you can create, read, update, and delete tasks, as well as manage the lists themselves. This opens up possibilities for automating task management, syncing tasks with other systems, and creating custom task-based workflows that can increase productivity and ensure nothing falls through the cracks.
Connect Google Tasks#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_tasks: {
type: "app",
app: "google_tasks",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/tasks/v1/users/@me/lists`,
headers: {
Authorization: `Bearer ${this.google_tasks.$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}}