Integrate the PhoneBurner API with the Python API

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

Popular PhoneBurner and Python Actions#

Create Contact with the PhoneBurner API

Create a contact. See the documentation

Try it

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

Get Contact with the PhoneBurner API

Get a specific contact. See the documentation

Try it

Get Contacts with the PhoneBurner API

Get a list of contacts. See the documentation

Try it

Update Contact with the PhoneBurner API

Update a contact. See the documentation

Try it

Overview of PhoneBurner#

The PhoneBurner API provides programmatic access to call center functionality, allowing you to manage contacts, handle dial sessions, and interact with call logs. With Pipedream, you can automate workflows that respond to events in PhoneBurner or orchestrate PhoneBurner actions based on triggers from other apps. This melds the power of cloud telephony with broad integration possibilities, unlocking productivity gains and streamlined operations.

Connect PhoneBurner#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    phoneburner: {
      type: "app",
      app: "phoneburner",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.phoneburner.com/rest/1/members/`,
      headers: {
        Authorization: `Bearer ${this.phoneburner.$auth.oauth_access_token}`,
      },
    })
  },
})

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}}