GetEmail.io is the easiest way to find email addresses from anywhere on the web, with just one click.
Provide Full name of your prospect with Domain or Website and Api will provide you an email address of the prospect in response. See the documentation.
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Use this Api when you want to know the status of any previous find-email Api request. See the documentation.
The Api verifies your requested email address, whether it is a Good or Bad email address. See the documentation.
The GetEmails API provides a means to identify anonymous traffic on your website and retrieve contact information for remarketing purposes. With this API integrated into Pipedream workflows, you can automate the process of capturing leads, enriching customer profiles, and triggering personalized communication. Pipedream’s serverless platform allows you to connect GetEmails to a vast array of services, enabling seamless data flow between lead capture and your marketing or CRM tools.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
getemails: {
type: "app",
app: "getemails",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.getemail.io/v2/verif-email`,
params: {
api_key: `${this.getemails.$auth.api_key}`,
email: `satyan@microsoft.com`,
},
})
},
})
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.
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)
}