Integrate the Message Bird API with the Python API

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

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Popular Message Bird 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 Message Bird#

Message Bird is a communications platform offering a suite of API solutions for sending messages, making voice calls, and conducting video conferences. With Pipedream, you can harness these capabilities to automate personalized notifications, streamline customer support, and facilitate global communication workflows. Message Bird's API on Pipedream allows you to send real-time alerts, trigger voice messages based on customer actions, and integrate with other services to create powerful, multi-channel communication systems.

Connect Message Bird#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    message_bird: {
      type: "app",
      app: "message_bird",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://rest.messagebird.com/balance`,
      headers: {
        "Authorization": `AccessKey ${this.message_bird.$auth.access_key}`,
      },
    })
  },
})

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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