Flodesk is the world's most intuitive email marketing platform designed to help small businesses grow, nurture and monetize their list while staying beautifully on-brand
Emit new event when a subscriber is added to a segment in Flodesk. See the documentation
Emit new event when a subscriber is created in Flodesk. See the documentation
Emit new event when a subscriber is unsubscribed in Flodesk. See the documentation
Add a subscriber to one or more segments in Flodesk. 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.
Creates or updates a subscriber in Flodesk. See the documentation
Find a subscriber by email address in Flodesk. See the documentation
The Flodesk API on Pipedream allows you to streamline email marketing efforts by enabling automation of subscriber management and email campaign triggers. With this integration, you can create workflows to sync subscriber data, send personalized emails based on customer actions, and analyze campaign performance, all in a serverless environment. Pipedream's ability to connect with hundreds of apps opens the door to craft custom automation sequences that fit your specific marketing needs.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
flodesk: {
type: "app",
app: "flodesk",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.flodesk.com/v1/subscribers`,
headers: {
Authorization: `Bearer ${this.flodesk.$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)
}