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.

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Popular Slybroadcast and Python Actions#

Start Campaign with Audio File with the Slybroadcast API

Start a new voicemail campaign using an audio file uploaded to your slybroadcast account. See the documentation

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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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Start Campaign With Audio URL with the Slybroadcast API

Launch a new voicemail campaign to an individual or a group using an audio file url. See the documentation

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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#

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#

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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