Whether you want to let go of running your own warehouse, or run your warehouse better, you can do both – and so much more – with ShipHero.
Emit new event when an order is allocated. See the documentation.
Emit new event when an order is deallocated. See the documentation.
Emit new event when an order is packed out. See the documentation.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The ShipHero API enables granular control over warehousing and order fulfillment processes, offering endpoints for managing inventory, orders, returns, and shipping. In Pipedream, you can leverage this API to automate routine tasks, sync data across multiple platforms, and trigger actions based on specific events. This can save time, reduce errors, and increase operational efficiency for e-commerce businesses.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
shiphero: {
type: "app",
app: "shiphero",
}
},
async run({steps, $}) {
const data = {
"query": `{
products {
request_id
data(first: 100) {
edges {
node {
id
sku
name
}
}
}
}
}
`,
}
return await axios($, {
method: "post",
url: `https://public-api.shiphero.com/graphql`,
headers: {
Authorization: `Bearer ${this.shiphero.$auth.oauth_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}}