What do you want to automate
with Memberful and Go?
Prompt, edit and deploy AI agents that connect to Memberful, Go and 2,500+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Memberful and Go Triggers#
Emit new event in Pipedream when a subscribed event is triggered in memberful.
Popular Memberful 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 Memberful#
The Memberful API lets you handle memberships and subscriptions with precision. Using Pipedream, you can automate tasks around Memberful's robust features, like syncing member data, managing subscriptions, or triggering events based on membership changes. Pipedream's serverless platform turns these tasks into workflows you can build, run, and observe with ease.
Connect Memberful#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
memberful: {
type: "app",
app: "memberful",
}
},
async run({steps, $}) {
return await axios($, {
method: "POST",
url: `https://${this.memberful.$auth.site}.memberful.com/api/graphql`,
headers: {
Authorization: `Bearer ${this.memberful.$auth.api_key}`,
"Content-Type": `application/json`,
},
params: {
query: `{
members(first: 10) {
totalCount
pageInfo {
endCursor
hasNextPage
}
edges {
node {
id
email
fullName
subscriptions {
id
plan {
id
name
priceCents
}
}
}
}
}
}`,
},
})
},
})
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)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies