Mixpanel
Powerful, self-serve product analytics to help you convert, engage, and retain more users
Integrate the Mixpanel API with the Go API
Setup the Mixpanel API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Mixpanel and Go remarkably fast. Free for developers.
Popular Mixpanel 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 Mixpanel#
Mixpanel's API allows you to track user interactions with your web and mobile applications, providing insights through data analysis. You can capture events, update user profiles, and segment data based on user actions. Integrating Mixpanel with Pipedream enables you to automate responses to these events, sync data across services, and trigger workflows that can enhance user engagement and improve retention.
Connect Mixpanel#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
mixpanel: {
type: "app",
app: "mixpanel",
}
},
async run({steps, $}) {
const data = `data={
"event": "Pipedream test event",
"properties": {
"token": "${this.mixpanel.$auth.token}"
}
}`
return await axios($, {
method: "post",
url: `https://api.mixpanel.com/track#live-event`,
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)
}