Integrate the Vero API with the Python API

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

Popular Vero and Python Actions#

Create or Update User with the Vero API

This endpoint creates a new user profile if the user doesn't exist yet. Otherwise, the user profile is updated based on the properties provided. 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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Track Event for User with the Vero API

This endpoint tracks an event for a specific user. If the user profile doesn't exist Vero will create it. See the documentation

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Overview of Vero#

Vero's API allows you to automate email marketing tasks such as managing campaigns, users, and events. Integrating Vero with Pipedream enables you to create workflows that respond to various triggers, like webhooks or schedules, and carry out actions such as sending emails, segmenting users, or tracking events. This integration can be a powerful tool to personalize your marketing efforts and respond in real-time to your customers' interactions.

Connect Vero#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    vero: {
      type: "app",
      app: "vero",
    }
  },
  async run({steps, $}) {
    const data = {
      "auth_token": `${this.vero.$auth.auth_token}`,
      "id":"1234",
      "email":"test@getvero.com",
      "channels": [{"type": "push", "address": "UNIQUE_DEVICE_TOKEN", "platform": "android"}],
      "data": {"first_name": "John", "last_name": "Doe"}
    }
    return await axios($, {
      method: "POST",
      url: `https://api.getvero.com/api/v2/users/track`,
      headers: {
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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}}