Shoprocket
Sell from existing websites, hosted stores, social media channels and more, with no technical skills required and 0% platform fees.
Integrate the Shoprocket API with the Python API
Setup the Shoprocket API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Shoprocket and Python remarkably fast. Free for developers.
Popular Shoprocket and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Shoprocket#
The Shoprocket API empowers you to seamlessly integrate e-commerce capabilities into your website or app. With Pipedream, you can connect Shoprocket to hundreds of other services to automate tasks like syncing orders to a database, updating inventory in real-time, or triggering custom email campaigns when a new product is added. Pipedream's serverless platform allows for building custom workflows that can react to various Shoprocket events, manipulate the data, and interact with numerous APIs and services without the hassle of managing infrastructure.
Connect Shoprocket#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
shoprocket: {
type: "app",
app: "shoprocket",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.shoprocket.io/v1/team`,
headers: {
"x-api-key": `${this.shoprocket.$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}}