Integrate the CallHub API with the Python API

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

Popular Ways to Connect CallHub with Python#

Run Python Code with Python API on New Call Event Received (Instant) from CallHub API

CallHub + Python

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Popular CallHub and Python Triggers#

New Call Event Received (Instant) from the CallHub API

Emit new event when a call event of the type specified is received. See the docs

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Popular CallHub 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 CallHub#

The CallHub API offers programmatic access to a range of telecommunication features, such as phone banking, text messaging, and voice broadcasting. Integrating CallHub with Pipedream allows users to automate these communication services within custom workflows. With Pipedream’s serverless platform, you can react to events across various apps, store and manipulate data, and trigger communications via CallHub based on user-defined criteria. This seamless integration expands the automation possibilities for campaign management, engagement tracking, and proactive notifications.

Connect CallHub#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    callhub: {
      type: "app",
      app: "callhub",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.callhub.io/v1/users`,
      headers: {
        "Authorization": `Token ${this.callhub.$auth.api_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}}