Implisense API

German company data combined in one API.

Integrate the Implisense API API with the Go API

Setup the Implisense API API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Implisense API 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 Implisense API

The Implisense API provides access to detailed company data from millions of companies, allowing you to enrich your CRM with firmographics, create targeted B2B marketing campaigns, and perform market analysis. The API offers methods to retrieve information like company profiles, financial data, and business relations. Integrating the Implisense API into Pipedream workflows lets you automate the process of data capture and action-taking based on company insights.

Connect Implisense API

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    implisense_api: {
      type: "app",
      app: "implisense_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.implisense.com/suggest/kle`,
      auth: {
        username: `${this.implisense_api.$auth.email}`,
        password: `${this.implisense_api.$auth.password}`,
      },
    })
  },
})

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)
}