Integrate the CallPage API with the Python API

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

Popular Ways to Connect CallPage with Python#

Run Python Code with Python API on New Call Event from CallPage API

CallPage + Python

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Popular CallPage and Python Triggers#

New Call Event from the CallPage API

Emit new event when there is a new call event.

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Popular CallPage and Python Actions#

Create SMS with the CallPage API

Creates a new SMS in CallPage. 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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Overview of CallPage#

The CallPage API enables automations centered around phone calls and lead management. Integrating this API with Pipedream allows you to create, update, and track calls, as well as manage users and leads. With Pipedream's serverless architecture, you can easily connect CallPage to other apps, triggering complex workflows from CallPage events or performing actions in CallPage in response to external triggers.

Connect CallPage#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    callpage: {
      type: "app",
      app: "callpage",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://core.callpage.io/api/v1/external/users/all`,
      headers: {
        "Authorization": `${this.callpage.$auth.api_key}`,
        "Accept": `application/json`,
      },
    })
  },
})

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}}