Integrate the Avochato API with the Python API

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

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Popular Avochato 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 Avochato#

The Avochato API provides a communication toolkit that enables automated text messaging and phone call workflows. With Pipedream, you can leverage this API to craft custom automations that respond to incoming messages, send alerts, or synchronize communication with your CRM, among other functionalities. Imagine streamlining customer support by auto-responding to common queries, or improving sales engagement by triggering timely follow-up messages—all this without manual intervention, directly harnessing the power of Avochato's communication capabilities within Pipedream's serverless platform.

Connect Avochato#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    avochato: {
      type: "app",
      app: "avochato",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.avochato.com/v1/accounts`,
      params: {
        auth_id: `${this.avochato.$auth.auth_id}`,
        auth_secret: `${this.avochato.$auth.auth_secret}`,
      },
    })
  },
})

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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