Platform.ly
The only marketing automation software you will ever need.
Integrate the Platform.ly API with the Go API
Setup the Platform.ly API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Platform.ly and Go remarkably fast. Free for developers.
Popular Platform.ly and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of Platform.ly#
The Platform.ly API allows for deep integration with your marketing automation, CRM, and business intelligence data. Within Pipedream, you can leverage this API to automate workflows, sync data with other services, trigger actions based on customer interactions, and analyze business metrics. The seamless connection with Pipedream opens up possibilities for enriching customer profiles, managing campaigns, and driving analytics-driven decisions.
Connect Platform.ly#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
platform_ly: {
type: "app",
app: "platform_ly",
}
},
async run({steps, $}) {
const data = {
"api_key": `${this.platform_ly.$auth.api_key}`,
"action": `profile`,
"value": `{}`,
}
return await axios($, {
method: "post",
url: `https://api.platform.ly/`,
headers: {
"Content-Type": `application/x-www-form-urlencoded`,
},
data,
})
},
})
Overview of Go#
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.
Connect Go#
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)
}