Integrate the Convolo.ai API with the Python API

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

Popular Convolo.ai and Python Actions#

Create Call with the Convolo.ai API

Initiates a phone call to a lead and establishes the connection with the first available agent. 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 Convolo.ai#

The Convolo.ai API enables automation of lead capturing and conversation management. With this API, you can programmatically access and manipulate your Convolo leads, manage call schedules, and track conversation outcomes. Integrating Convolo.ai with Pipedream allows you to connect your lead management process with other apps and services to create a seamless workflow, enhancing your ability to respond quickly to potential customers and organize your sales funnel efficiently.

Connect Convolo.ai#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    convolo_ai: {
      type: "app",
      app: "convolo_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.convolo.ai/rest/v1/ext/add_call_api/ `,
      params: {
        widget_key: `${this.convolo_ai.$auth.widget_key}`,
        api_key: `${this.convolo_ai.$auth.api_key}`,
        lc_number: `+14083726197`,
      },
    })
  },
})

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}}