Any app, any process, one modular CRM platform.
The Fireberry API enables users to interact with Fireberry's suite of services programmatically. With its API, you can automate tasks related to their offerings. In Pipedream, you could leverage this API to create serverless workflows that respond to various triggers (like HTTP requests, emails, or schedule timings) and integrate with other apps to extend Fireberry's functionality.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
fireberry: {
type: "app",
app: "fireberry",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.fireberry.com/api/record/crmuser`,
headers: {
"accept": `application/json`,
"tokenid": `${this.fireberry.$auth.api_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)
}