with Verifalia and Filter?
Delete a previously submitted email verification job. See the docs for more information
Get the number of credit packs and free daily credits available to the account. See the docs for more information
Verify an email address and check if it is properly formatted, really exists and can accept mails, flagging spam traps, disposable emails and much more. See the docs for more information
Verify a list of email address and check if it is properly formatted, really exists and can accept mails, flagging spam traps, disposable emails and much more. See the docs for more information
Verifalia's API provides robust email validation and verification services, ensuring that email addresses in your lists are accurate and deliverable. Leveraging Verifalia within Pipedream workflows can automate the process of cleaning up email lists, improve email marketing efficiency, and maintain communication channel integrity. By integrating Verifalia's capabilities, you can cut down on bounces, identify disposable email addresses, and segment lists based on quality scores.
import { VerifaliaRestClient } from "verifalia"
export default defineComponent({
props: {
verifalia: {
type: "app",
app: "verifalia",
}
},
async run({steps, $}) {
const verifaliaClient = new VerifaliaRestClient({
username: this.verifalia.$auth.username,
password: this.verifalia.$auth.password
});
return await verifaliaClient
.emailValidations
.submit('batman@gmail.com', true);
},
})
The Filter API in Pipedream allows for real-time data processing within workflows. It's designed to evaluate data against predefined conditions, enabling workflows to branch or perform specific actions based on those conditions. This API is instrumental in creating efficient, targeted automations that respond dynamically to diverse datasets. Using the Filter API, you can refine streams of data, ensuring that subsequent steps in your Pipedream workflow only execute when the data meets your specified criteria. This cuts down on unnecessary processing and facilitates the creation of more intelligent, context-aware systems.
export default defineComponent({
async run({ steps, $ }) {
let condition = false
if (condition == false) {
$.flow.exit("Ending workflow early because the condition is false")
} else {
$.export("$summary", "Continuing workflow, since condition for ending was not met.")
}
},
})