GetProspect
Find anyone's business email address. GetProspect would provide you with anyone's email from LinkedIn.
Integrate the GetProspect API with the Go API
Setup the GetProspect API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate GetProspect and Go remarkably fast. Free for developers.
Popular GetProspect 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.
Overview of GetProspect#
GetProspect offers a powerful API to automate the process of finding and verifying professional email addresses. Harnessing this capability within Pipedream, you can create streamlined workflows that not only gather leads but also integrate them into your marketing or sales pipelines. Imagine enhancing your CRM with fresh leads, syncing contact info across tools, or setting up alerts when certain lead criteria are met—all of this can be orchestrated within Pipedream's serverless platform.
Connect GetProspect#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
getprospect: {
type: "app",
app: "getprospect",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.getprospect.com/public/v1/email/verify`,
headers: {
"apiKey": `${this.getprospect.$auth.api_key}`,
},
params: {
email: `support@getprospect.com`,
},
})
},
})
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)
}