Integrate the Yotpo - Loyalty & Referrals API with the Python API

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

Popular Yotpo - Loyalty & Referrals and Python Actions#

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.

Try it

Overview of Yotpo - Loyalty & Referrals#

The Yotpo - Loyalty & Referrals API unlocks the potential to craft custom loyalty and referral programs by integrating with your tech stack through Pipedream. With this API, you can manage rewards, referrals, and customer loyalty data in real-time. Automate the process of rewarding customers for their engagement, track referral sources, and analyze program effectiveness directly through Pipedream's serverless platform.

Connect Yotpo - Loyalty & Referrals#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    yotpo_loyalty_referrals: {
      type: "app",
      app: "yotpo_loyalty_referrals",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://loyalty.yotpo.com/api/v2/campaigns`,
      headers: {
        "Content-Type": `application/json`,
        "x-guid": `${this.yotpo_loyalty_referrals.$auth.guid}`,
        "x-api-key": `${this.yotpo_loyalty_referrals.$auth.api_key}`,
      },
    })
  },
})

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}}