Integrate the Verifalia API with the Python API

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

Popular Verifalia and Python Actions#

Delete Email Verification Job with the Verifalia API

Delete a previously submitted email verification job. See the docs for more information

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Get Credits Balance with the Verifalia API

Get the number of credit packs and free daily credits available to the account. See the docs for more information

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Verify Email Address with the Verifalia API

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

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Verify List of Email Address with the Verifalia API

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

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Overview of Verifalia#

The Verifalia API is a powerful and secure suite of tools designed to validate
& clean data and email addresses. It can be used to help reduce fraud, improve
data quality, and boost marketing campaigns.

Verifalia's API can be used to build the following:

Email Validation: Validate a list of email addresses and check for accuracy,
validity, and deliverability.
Email Address Hygiene & Cleaning: Automatically clean a list of email
addresses to remove duplicates, typos, and invalid addresses.
Email Address List Verification: Check a list of email addresses and verify
them against a specific domain.
Email Spam Score & Analysis: Analyze a list of emails and determine the
associated spam level.
Phone Number Validation: Automatically validate a list of phone numbers and
check for accuracy and improper formatting.
Bulk Email Sending: Execute a bulk email campaign and track email delivery
rate in real-time.
Private DNS Check & Domain Name Verification: Check a domain's reliability
and identity, as well as DNS records and MX records.
Domain Catch-all Check & Delivery Confirmation: Determine if a domain is
flagged as a catch-all and confirm if emails sent to that domain will be
received by the intended recipient.

Connect Verifalia#

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);
  },
})

Overview of Python#

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

Create automated workflows that run on a specific schedule
Compose workflows across various apps and services
React to events in cloud services or form data
Automatically create content and notifications
Construct classifications and predictions
Analyze and react to sentiment, sentiment analysis and sentiment score
Connect backends to the frontend with serverless functions
Work with files and databases
Perform web requests and fetch data
Integrate third-party APIs into your apps
Orchestrate data processing tasks and pipelines
Create powerful application APIs with authentication and authorization
Design CI/CD pipelines and Continuous Delivery services
Connect databases like MongoDB and MySQL
Monitor connections and events
Generate alerts and notifications for corresponding events

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}