Checkvist

Task manager and online outliner with outstanding keyboard support, tags, due dates, search/filtering and collaboration.

Integrate the Checkvist API with the Python API

Setup the Checkvist API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Checkvist 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.

 
Try it

Overview of Checkvist

The Checkvist API allows for the creation and management of tasks and lists in a way that streamlines productivity and enhances organizational workflows. With the API, you can automate task updates, synchronize lists with other platforms, and trigger actions based on task completion. Utilizing Pipedream, these capabilities can be expanded by orchestrating complex workflows that connect Checkvist with a multitude of other apps and services, enabling seamless data flow and event-driven automation.

Connect Checkvist

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    checkvist: {
      type: "app",
      app: "checkvist",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://checkvist.com/auth/curr_user.json`,
      auth: {
        username: `${this.checkvist.$auth.username}`,
        password: `${this.checkvist.$auth.api_key}`,
      },
    })
  },
})

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}}