Integrate the Snipcart API with the Python API

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

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Popular Snipcart and Python Actions#

Create Discount with the Snipcart API

Create a new Discount. 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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Delete Discount with the Snipcart API

Delete a Discount. See the documentation

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Update Discount with the Snipcart API

Update a Discount. See the documentation

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Overview of Snipcart#

Snipcart is a developer-centric e-commerce solution designed to be easily embedded into any website. With the Snipcart API, you gain the ability to automate cart and checkout operations, manage products, retrieve order details, update inventory, and handle customers. The flexibility of this API opens doors to enhancing e-commerce workflows, including real-time inventory management, order processing, and personalized customer engagement.

Connect Snipcart#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    snipcart: {
      type: "app",
      app: "snipcart",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.snipcart.com/api/orders`,
      auth: {
        username: `${this.snipcart.$auth.api_key}`,
        password: ``,
      },
    })
  },
})

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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