Integrate the Vitally API with the Python API

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

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Popular Ways to Connect Vitally with Python#

Run Python Code with Python API on New User Created from Vitally API

Vitally + Python

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Popular Vitally and Python Triggers#

New User Created from the Vitally API

Emit new event when a new user is created.

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Popular Vitally and Python Actions#

Create Message with the Vitally API

Create a new message. 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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Create Note with the Vitally API

Create a new note. See the documentation

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Create Task with the Vitally API

Create a new task. See the documentation

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Overview of Vitally#

The Vitally API offers a window into customer success operations, enabling you to automate workflows, integrate with other tools, and manipulate customer data programmatically. With Pipedream, you can harness this API to create custom automations that react to events in Vitally, sync data between Vitally and other platforms, or maintain up-to-date customer profiles across your business stack.

Connect Vitally#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    vitally: {
      type: "app",
      app: "vitally",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.vitally.$auth.subdomain}.rest.vitally.io/resources/users`,
      auth: {
        username: `${this.vitally.$auth.api_key}`,
        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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