Solutions & Tools to Grow Your Business
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Creates a new customer for a business. Must provide at least one of the following: Given Name, Family Name, Company Name, Email Address, or Phone Number. See the docs.
Creates a draft invoice for an order. You must send (publish) the invoice before Square can process it. See the documentation.
Creates a new order that can include information about products for purchase. See docs here.
The Square API opens up a realm of possibilities for merchants to effortlessly manage their sales, inventory, customers, and payments. With Pipedream, you can automate actions based on events in Square, such as new transactions, updated orders, or customer profile changes. Craft custom workflows that react in real-time, sync data across platforms, or streamline reporting. Through Pipedream's serverless platform, you can connect Square with countless other apps without writing extensive code, turning manual tasks into automated, efficient processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
square: {
type: "app",
app: "square",
}
},
async run({steps, $}) {
return await axios($, {
method: "post",
url: `https://connect.squareup.com/oauth2/token/status`,
headers: {
Authorization: `Bearer ${this.square.$auth.oauth_access_token}`,
},
})
},
})
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)
}