DialMyCalls

Voice + SMS broadcasting service that gives members the ability to create a message and send it out to all of their contacts instantly.

Integrate the DialMyCalls API with the Python API

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

 
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Overview of DialMyCalls

The DialMyCalls API lets you harness the power of voice and text messaging for mass communication. With this API, you can automate the creation and dispatch of messages to lists of recipients, schedule calls, manage contacts, and track the delivery status of your messages. This becomes particularly useful in scenarios like emergency alerts, appointment reminders, and promotional campaigns where reaching out to a broad audience swiftly and reliably is key.

Connect DialMyCalls

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dialmycalls: {
      type: "app",
      app: "dialmycalls",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.dialmycalls.com/2.0/account`,
      auth: {
        username: `${this.dialmycalls.$auth.api_key}`,
        password: `x`,
      },
    })
  },
})

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}}