Integrate the Viral Loops API with the Python API

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

Popular Viral Loops and Python Actions#

Create Participant with the Viral Loops API

Creates a participant. See documentation here

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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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Get Campaign with the Viral Loops API

Get a campaign. See documentation here

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Get Participant with the Viral Loops API

Get a participant. See documentation here

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Overview of Viral Loops#

The Viral Loops API enables you to tap into the potent capabilities of referral marketing within your applications. Using this API through Pipedream, you can automate campaign management, participant tracking, and reward allocation. You can also trigger actions based on referral achievements or new participant sign-ups, making it simpler to manage marketing campaigns and analyze their performance in real-time.

Connect Viral Loops#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    viral_loops: {
      type: "app",
      app: "viral_loops",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.viral-loops.com/api/v3/campaign`,
      headers: {
        "accept": `application/json`,
        "apiToken": `${this.viral_loops.$auth.api_token}`,
      },
    })
  },
})

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}}