PhoneBurner

Our powerful outbound dialer is built to boost your contact rates & increase sales.

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.

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Create Contact with the PhoneBurner API

Create a contact. 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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Get Contact with the PhoneBurner API

Get a specific contact. See the documentation

 
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Get Contacts with the PhoneBurner API

Get a list of contacts. See the documentation

 
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Update Contact with the PhoneBurner API

Update a contact. See the documentation

 
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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

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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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo