Shipping API & multi carrier shipping system
Emit new event when a new label is shipped. See the docs.
Emit new event when a new event is tracked. See the docs.
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
By default, all labels are returned, 25 at a time, starting with the most recently created ones. You can combine multiple filter options to narrow-down the results. See the docs.
Allows you to subscribe to tracking updates for a package. See the docs.
Address validation ensures accurate addresses and can lead to reduced shipping costs by preventing address correction surcharges. See the docs.
The Shipengine API enables robust automation possibilities for shipping logistics. From label creation, rate comparison, to tracking shipments, the API provides the tools to streamline e-commerce and shipping workflows. By harnessing Shipengine's capabilities through Pipedream, you can build seamless integrations that connect your shipping operations with other business processes, enhancing efficiency and reducing manual overhead.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
shipengine: {
type: "app",
app: "shipengine",
}
},
async run({steps, $}) {
return await axios($, {
method: "post",
url: `https://api.shipengine.com/v1/addresses/validate`,
headers: {
"API-Key": `${this.shipengine.$auth.api_key}`,
"Content-Type": `application/json`,
},
})
},
})
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}