Integrate your e-commerce workflow in one place.
Emit new event when a new order is created in BaseLinker. See the Documentation.
Emit new event when an order status changes in BaseLinker. See the Documentation.
It allows you to add a new product to BaseLinker catalog. Entering the product with the ID updates previously saved product. See the Documentation.
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
It allows adding a new order to the BaseLinker order manager. See the Documentation.
It allows you to remove the product from BaseLinker catalog. See the Documentation.
It allows you to change order status. See the Documentation.
The BaseLinker API offers access to a suite of e-commerce management tools, enabling seamless integration of orders, products, and inventory across various online sales channels. With Pipedream's ability to connect APIs, you can automate tasks between BaseLinker and other apps to streamline your e-commerce operations, from syncing inventory to processing orders.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
baselinker: {
type: "app",
app: "baselinker",
}
},
async run({steps, $}) {
const data = {
"method": `getInventories`,
}
return await axios($, {
method: "post",
url: `https://api.baselinker.com/connector.php`,
headers: {
"X-BLToken": `${this.baselinker.$auth.api_key}`,
"Content-Type": `application/x-www-form-urlencoded`,
},
data,
})
},
})
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)
}