WhatConverts

Get marketing clarity with CallTracking and LeadTracking.

Integrate the WhatConverts API with the Go API

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

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.

 
Try it

Overview of WhatConverts

The WhatConverts API allows you to track, manage, and report on leads and conversions from various marketing channels. With this API, you can automate the ingestion of lead data into your CRM, generate custom reports, and receive real-time alerts for new leads. When you implement this API within Pipedream, you can create powerful, serverless workflows that respond to events in WhatConverts, or trigger actions based on data from other apps.

Connect WhatConverts

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    whatconverts: {
      type: "app",
      app: "whatconverts",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.whatconverts.com/api/v1/leads`,
      auth: {
        username: `${this.whatconverts.$auth.api_token}`,
        password: `${this.whatconverts.$auth.api_secret}`,
      },
    })
  },
})

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

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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)
}