Integrate the LoyaltyLion API with the Python API

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

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Popular LoyaltyLion 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.

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Overview of LoyaltyLion#

The LoyaltyLion API unlocks the potential to create custom loyalty and engagement experiences by integrating with various e-commerce platforms. Harnessing this API through Pipedream allows for automated workflows that can sync customer data, track points and rewards, and personalize marketing efforts based on loyalty insights. With the API, you can automate notifications for point changes, create rules for earning points, and analyze customer behavior to tailor rewards.

Connect LoyaltyLion#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    loyaltylion: {
      type: "app",
      app: "loyaltylion",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.loyaltylion.com/v2/customers`,
      headers: {
        Authorization: `Bearer ${this.loyaltylion.$auth.oauth_access_token}`,
      },
      params: {
        since_id: `0`,
        limit: `2`,
      },
    })
  },
})

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}}

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