Shopify is a complete commerce platform that lets anyone start, manage, and grow a business. You can use Shopify to build an online store, manage sales, market to customers, and accept payments in digital and physical locations.
Emit new event each time a new order is cancelled.
Emit new event for each new customer added to a store.
Emit new event for each new draft order submitted to a store.
Adds a product or products to a custom collection or collections. See the docs
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Shopify Admin REST & GraphQL API unleashes a myriad of possibilities to automate and enhance online store operations. It provides programmatic access to Shopify functionalities, allowing users to manage products, customers, orders, and more. Leveraging the Shopify Admin API within Pipedream, developers can create custom workflows that automate repetitive tasks, sync data across platforms, and respond dynamically to events in Shopify.
This integration can be used as a custom app on your store, or for automating actions on behalf of merchants through your Shopify app.
Looking for integrating into the Shopify Partner API for your apps, themes or referrals? Check out our Shopify Partner API integration.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
shopify_developer_app: {
type: "app",
app: "shopify_developer_app",
}
},
async run({steps, $}) {
const data = {
"query": `{
shop {
id
name
email
}
}`,
}
return await axios($, {
method: "post",
url: `https://${this.shopify_developer_app.$auth.shop_id}.myshopify.com/admin/api/2024-04/graphql.json`,
headers: {
"X-Shopify-Access-Token": `${this.shopify_developer_app.$auth.access_token}`,
"Content-Type": `application/json`,
},
data,
})
},
})
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:
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}}