Integrate the Refersion API with the Python API

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

Popular Refersion and Python Actions#

Create Affiliate with the Refersion API

Create a new affiliate. See the docs 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 Affiliate with the Refersion API

Get information about an affiliate. You can get an affiliate's information using their ID or code. See the docs here

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Manual Comission Credit with the Refersion API

Allows you to manually credit an affiliate with any commission amount. See the docs here

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Overview of Refersion#

Refersion is a powerful affiliate tracking platform that streamlines the process of managing, tracking, and growing your affiliate network. Through its API, you can automate affiliate registrations, commission tracking, and payout processes. Pipedream's serverless platform allows you to connect Refersion with hundreds of other apps to automate workflows, sync data across platforms, and respond to events in real time.

Connect Refersion#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    refersion: {
      type: "app",
      app: "refersion",
    }
  },
  async run({steps, $}) {
    const data = {
      "limit": `3`,
      "page": `1`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.refersion.com/v2/affiliate/list`,
      headers: {
        "Accept": `application/json`,
        "Content-Type": `application/json`,
        "Refersion-Public-Key": `{{custom_fields.api_key}}`,
        "Refersion-Secret-Key": `{{custom_fields.secret}}`,
      },
      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}}