Integrate the Aero Workflow API with the Python API

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

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Popular Ways to Connect Aero Workflow with Python#

Run Python Code with Python API on New Company Created Event from Aero Workflow API

Aero Workflow + Python

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Popular Aero Workflow and Python Triggers#

New Company Created Event from the Aero Workflow API

Emit new events when a new company is created. See the docs

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Popular Aero Workflow and Python Actions#

Create Appointment with the Aero Workflow API

Creates an appointment See the docs here

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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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Create Company with the Aero Workflow API

Creates a company See the docs here

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Create Contact with the Aero Workflow API

Creates a contact See the docs here

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Create Email Aero with the Aero Workflow API

Creates an email aero See the docs here

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Overview of Aero Workflow#

The Aero Workflow API enables the automation of task management and workflow optimization for professional service firms. Using Pipedream, you can harness this API to create powerful automations that streamline the tasks and procedures within your business. This can significantly reduce manual input, error rates, and increase overall efficiency.

Connect Aero Workflow#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    aero_workflow: {
      type: "app",
      app: "aero_workflow",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.aeroworkflow.com/api/${this.aero_workflow.$auth.account_number}/me`,
      headers: {
        "apikey": `${this.aero_workflow.$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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