Todoist - Custom App

Connect to the Todoist API using a custom app

Integrate the Todoist - Custom App API with the Python API

Setup the Todoist - Custom App API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Todoist - Custom App and Python remarkably fast. Free for developers.

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Overview of Todoist - Custom App

The Todoist Custom App API on Pipedream enables you to automate your task management by connecting Todoist with a vast array of other applications and services. Capitalize on this to sync tasks across platforms, escalate priority items, or trigger reminders and actions based on activity within Todoist. From sending a Slack message when a task is due to adding tasks via email parsing, the possibilities are extensive for boosting productivity and ensuring nothing falls through the cracks.

Connect Todoist - Custom App

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    todoist_custom_app: {
      type: "app",
      app: "todoist_custom_app",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.todoist.com/rest/v2/projects`,
      headers: {
        Authorization: `Bearer ${this.todoist_custom_app.$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

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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}}