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with Segment and Go?
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Popular Segment and Go Triggers#
Send events to a webhook. Requires a Team or Business account.
Popular Segment 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.
Identify lets you tie a user to their actions and record traits about them. It includes a unique User ID and any optional traits you know about them (note requires userId or anonymousId). See the docs here
Overview of Segment#
The Segment API enables you to collect, manage, and route your customer analytics data to various tools for marketing, analytics, and data warehousing. By harnessing the Segment API on Pipedream, you can automate the ingestion and syncing of user events and properties to multiple destinations, allowing you to create seamless data pipelines without manual intervention. Pipedream's serverless platform empowers you to build custom workflows that react to events in real-time, enrich data, or trigger actions across your tech stack.
Connect Segment#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
segment: {
type: "app",
app: "segment",
}
},
async run({steps, $}) {
const data = {
"event": `PipedreamTestOrder`,
"anonymousId": `019mr8mf4r`,
}
return await axios($, {
method: "post",
url: `https://api.segment.io/v1/track`,
headers: {
"Content-Type": `application/json`,
},
auth: {
username: `${this.segment.$auth.write_key}`,
password: ``,
},
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)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies