Integrate the GoDial API with the Python API

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

Popular Ways to Connect GoDial with Python#

Run Python Code with Python API on New Updated Contact from GoDial API

GoDial + Python

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Popular GoDial and Python Triggers#

New Updated Contact from the GoDial API

Emit new event on a contact is updated.

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Popular GoDial and Python Actions#

Add Contact with the GoDial API

Adds a contact. See docs here

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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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Add Member with the GoDial API

Adds a member. See docs here

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Overview of GoDial#

GoDial turns your phone into a call center, enabling businesses to manage calls and contacts efficiently. The API provides programmatic access to this functionality, allowing you to trigger calls, manage contacts, and automate call logging. With Pipedream, you can harness GoDial's capabilities to create workflows that connect call activities with CRM platforms, customer support tickets, and notification systems, streamlining communication processes within your business.

Connect GoDial#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    godial: {
      type: "app",
      app: "godial",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://enterprise.godial.cc/meta/api/externals/accounts/list`,
      params: {
        access_token: `${this.godial.$auth.api_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}}