Integrate the Height API with the Python API

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

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Popular Ways to Connect Height with Python#

Run Python Code with Python API on New Completed Task from Height API

Height + Python

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Run Python Code with Python API on New or Updated Task from Height API

Height + Python

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Run Python Code with Python API on New Task Added from Height API

Height + Python

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Popular Height and Python Triggers#

New Completed Task from the Height API

Emit new event when a task is marked as complete.

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New or Updated Task from the Height API

Emit new event whenever a task is created or updated in Height.

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New Task Added from the Height API

Emit new event when a new task is added in Height

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Popular Height and Python Actions#

Create Task with the Height API

Creates a new task within your workspace. See the documentation

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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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Search Tasks with the Height API

Searches for tasks within your workspace using a text query. See the documentation

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Update Task with the Height API

Updates a specified task within your workspace. See the documentation

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Connect Height#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    height: {
      type: "app",
      app: "height",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.height.app/users/me`,
      headers: {
        "Authorization": `api-key ${this.height.$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#

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}}

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