Integrate the Piggy API with the Python API

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

Popular Ways to Connect Piggy with Python#

Run Python Code with Python API on New Contact Created from Piggy API

Piggy + Python

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Popular Piggy and Python Triggers#

New Contact Created from the Piggy API

Emit new event on each new contact.

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Popular Piggy and Python Actions#

Create Contact Attribute with the Piggy API

Creates a contact attribute. 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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Find Or Create Contact with the Piggy API

Find or create a contact. See the documentation

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Overview of Piggy#

The Piggy API provides a suite of loyalty and reward services allowing businesses to manage customer loyalty programs, offer discounts, and track customer engagement. With Pipedream, you can harness this powerful API to automate various aspects of your loyalty program. You might sync loyalty data with other business systems, trigger emails or notifications based on customer actions, or generate reports on the effectiveness of your loyalty campaigns.

Connect Piggy#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    piggy: {
      type: "app",
      app: "piggy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.piggy.eu/api/v3/oauth/clients/contacts`,
      headers: {
        Authorization: `Bearer ${this.piggy.$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}}