Integrate the Segment API with the Go API

Setup the Segment API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Segment and Go remarkably fast. Free for developers.

Popular Ways to Connect Segment with Go#

Run Go Code with Go API on Webhook Destination (Instant) from Segment API

Segment + Go

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Popular Segment and Go Triggers#

Webhook Destination (Instant) from the Segment API

Send events to a webhook

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Popular Segment and Go Actions#

Associate an identified user with a group with the Segment API

Group lets you associate an identified user with a group (note requires userId or anonymousId). See the docs here

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Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

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Associate one identity with another with the Segment API

Alias is how you associate one identity with another. See the docs here

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Identify a user, tie them to their actions and record traits about them with the Segment API

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

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Record page views on your website with the Segment API

The page method lets you record page views on your website, along with optional extra information about the page being viewed (note requires userId or anonymousId). See the docs here

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Overview of Segment#

You can do a lot of amazing things with Segment's API. Segment's API enables
you to collect and connect customer data quickly and easily. With it, you can
power your analytics, marketing, and data warehousing requirements, and improve
your customer experience and performance.

The Segment API provides you with full control over your customer data,
including file storage, ETL, data modeling, data enrichment and
transformations, and data queries. With it, you can build powerful solutions
that help you uncover useful customer insights in real-time. Here are a few
examples of what you can do using the Segment API:

Collect and store customer data from multiple sources: You can collect
customer data from multiple sources such as web traffic, mobile and web apps,
ecommerce stores, CRMs, and marketing automation platforms.
Build custom data models to gain deeper insights into customer behavior: With
the Segment API, you can build custom models that organize customer data into
meaningful categories to gain deeper consumer insights.
Automatically enrich customer data with 3rd party APIs: The Segment API
allows you to automatically map, enrich, and clean customer data, creating a
single source of truth for better segmentation and decision making.
Analyze customer data in real-time for better decision making: With the
Segment API, you can monitor customer data in real-time, uncovering patterns
and creating reports in a few clicks.
Automate data pipelines to quickly and easily access data: You can quickly
and easily create data pipelines with the Segment API, and get accurate data
delivered on demand.
Connect customer data to over 250 cloud services: With the Segment API, you
can quickly and easily connect customer data to over 250 cloud services and
systems, such as analytics, marketing automation platforms, CRMs, and data
warehouses.

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`,
      auth: {
        username: `${this.segment.$auth.write_key}`,
        password: ``,
      },
      data,
    })
  },
})

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)
}