Integrate the Aroflo API with the Python API

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

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Popular Aroflo and Python Actions#

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 Aroflo#

Aroflo's API offers the power to streamline operations by automating tasks and integrating with a wide variety of systems. Through Pipedream, you can leverage this to synchronize data across platforms, trigger workflows based on specific events, and manipulate Aroflo data in real-time. Whether updating project statuses, managing assets, or automating invoicing and reporting, Pipedream's serverless platform can facilitate a seamless link between Aroflo and other services.

Connect Aroflo#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    aroflo: {
      type: "app",
      app: "aroflo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.aroflo.com/`,
      headers: {
        "Accept": `text/json`,
        "Authentication": `HMAC ${this.aroflo.$auth.hmac_key}`,
      },
      params: {
        where: `and|archived|=|false`,
        zone: `users`,
        page: `1`,
      },
    })
  },
})

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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