Slybroadcast

With Slybroadcast's patented voicemail delivery technology, send a voice mail directly to the voice-mailboxes of mobile phones.

Integrate the Slybroadcast API with the Python API

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

 
Try it

Overview of Slybroadcast

The Slybroadcast API lets you send voice messages directly to the voicemail boxes of your audience without ringing their phones. Integrating this API with Pipedream allows you to automate voice message campaigns, follow-ups, and notifications, by triggering voice messages based on events in other apps or through scheduled workflows.

Connect Slybroadcast

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    slybroadcast: {
      type: "app",
      app: "slybroadcast",
    }
  },
  async run({steps, $}) {
    const data = {
      "c_uid": `${this.slybroadcast.$auth.email}`,
      "c_password": `${this.slybroadcast.$auth.password}`,
      "remain_message": `1`,
    }
    return await axios($, {
      method: "POST",
      url: `https://www.mobile-sphere.com/gateway/vmb.php`,
      headers: {
        "Content-Type": `application/x-www-form-urlencoded`,
        "Accept": `*/*`,
      },
      data,
    })
  },
})

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}}