Integrate the UpViral API with the Python API

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

Popular UpViral and Python Actions#

Add Contact with the UpViral API

Add a new contact in your particular campaign. 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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Add Points with the UpViral API

Add points in user profile. See the documentation

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Overview of UpViral#

UpViral is a platform designed to create and run referral campaigns with ease. With the UpViral API, you can automate the collection of lead data, manage contests, and track the performance of your campaigns directly within Pipedream. This allows for a seamless integration of viral marketing efforts into your existing business processes. By leveraging the API, you can trigger actions in other apps based on campaign results, synchronize lead data with CRM systems, and even automate the distribution of rewards to contest winners.

Connect UpViral#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    upviral: {
      type: "app",
      app: "upviral",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://app.upviral.com/api/v1`,
      params: {
        uvapikey: `${this.upviral.$auth.api_key}`,
        uvmethod: `lists`,
      },
    })
  },
})

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}}