Integrate the Adversus API with the Python API

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

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Popular Adversus 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 Adversus#

Adversus is a powerful dialer and CRM platform tailored to streamline outbound call center operations and enhance sales processes. Leveraging the Adversus API with Pipedream opens up immense possibilities for automating call workflows, syncing lead data, and crafting custom triggers based on call outcomes or performance metrics. By creating serverless workflows on Pipedream, you can connect Adversus to a myriad of other apps and services to optimize lead management, automate repetitive tasks, and gain real-time insights into your sales funnel.

Connect Adversus#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    adversus: {
      type: "app",
      app: "adversus",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.adversus.dk/v1/organization`,
      auth: {
        username: `${this.adversus.$auth.email}`,
        password: `${this.adversus.$auth.password}`,
      },
    })
  },
})

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}}

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