Phone.com

Phone.com is the modern small business communication solution that lets you connect a business phone number to any device. You get the voice, video, text, call management, and collaboration features of an enterprise phone system without the cost.

Integrate the Phone.com API with the Python API

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

Phone.com's API offers a programmable way to interact with its VoIP services, allowing you to streamline communication tasks, manage call settings, send SMS messages, and retrieve call logs programmatically. By leveraging Phone.com's functionalities within Pipedream, you can automate a variety of telephony workflows, integrate with other services for enhanced communication experiences, and analyze call data for actionable insights.

Connect Phone.com

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    phone_com: {
      type: "app",
      app: "phone_com",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.phone.com/v4/accounts`,
      headers: {
        Authorization: `Bearer ${this.phone_com.$auth.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}}