Lusha

B2B Lead Enrichment in a Click

Integrate the Lusha API with the Go API

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

Find Company with the Lusha API

Search for a company. See 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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Find Contact with the Lusha API

Search for a contact. See docs here

 
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Overview of Lusha

The Lusha API provides programmatic access to Lusha's rich database, allowing you to retrieve business profiles and contact information. By integrating Lusha with Pipedream, you can automate the enrichment of lead data, sync contact information with your CRM, and enhance your sales or recruitment processes. The API enables you to pull details such as phone numbers, email addresses, and company data, turning them into actionable insights within your business workflows.

Connect Lusha

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    lusha: {
      type: "app",
      app: "lusha",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.lusha.com/person`,
      headers: {
        "api_key": `${this.lusha.$auth.api_key}`,
      },
      params: {
        firstName: `Rob`,
        lastName: `Taylor`,
        company: `intercom`,
      },
    })
  },
})

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)
}