abstract-python-email-validation

AbstractAPI python-email-validation library

Integrate the powerful email validation API from Abstract in your Python project in a few lines of code.

Abstract's Email Validation and Verification API is a fast, lightweight, modern, and RESTful JSON API for determining the validity and other details of email addresses.

It's very simple to use: you only need to submit your API key and an email address, and the API will respond an assessment of its validity, as well as additional details like quality score if it's a disposable email, a catchall address, and more.

Validating and verifying email addresses is a critical step to reducing the chances of low-quality data and fraudulent or risky users in your website or application.

Documentation

Supported Python Versions

This library supports the Python version 3.6 and higher.

Installation

You can install python-email-validation via PyPi or by downloading the source.

Via PyPi:

python-email-validation is available on PyPi as the abstract-python-email-validation package:

pip install abstract-python-email-validation

API key

Get your API key for free and without hassle from the Abstact website.

Quickstart

Verify email

# Verify email using Abstract's Email Validation and Verification API and Python
from python_email_validation import AbstractEmailValidation

EMAIL_VAL_API_KEY =  "YYYYYY"; # Get your API Key from https://app.abstractapi.com/api/email-validation/documentation

AbstractEmailValidation.configure(EMAIL_VAL_API_KEY)
AbstractEmailValidation.verify("[e-mail]")

API response

The API response is returned in a EmailValidationData object.

PARAMETER	TYPE	DETAILS
email	String	The value for "email" that was entered into the request.
auto_correct	String	If a typo has been detected then this parameter returns a suggestion of the correct email (e.g., [e-mail] => [e-mail]). If no typo is detected then this is empty.
deliverability	String	Abstract's evaluation of the deliverability of the email. Possible values are: DELIVERABLE, UNDELIVERABLE, RISKY, and UNKNOWN
quality_score	Number	An internal decimal score between 0.01 and 0.99 reflecting Abstract's confidence in the quality and deliverability of the submitted email.
is_valid_format	Boolean	Is true if the email follows the format of "address @ domain . TLD". If any of those elements are missing or if they contain extra or incorrect special characters, then it returns false.
is_free_email	Boolean	Is true if the email's domain is found among Abstract's list of free email providers (e.g., Gmail, Yahoo, etc).
is_disposable_email	Boolean	Is true if the email's domain is found among Abstract's list of disposable email providers (e.g., Mailinator, Yopmail, etc).
is_role_email	Boolean	Is true if the email's local part (e.g., the "to" part) appears to be for a role rather than individual. Examples of this include "team@", "sales@", info@", etc.
is_catchall_email	Boolean	Is true if the domain is configured to catch all email.
is_mx_found	Boolean	Is true if MX Records for the domain can be found. Only available on paid plans. Will return null and UNKNOWN on free plans.
is_smtp_valid	Boolean	Is true is the SMTP check of the domain was successful. Only available on paid plans. Will return null and UNKNOWN on free plans.

Detailed documentation

You will find additional information and request examples in the Abstract help page.

Getting help

If you need help installing or using the library, please contact Abstract's Support.

For bug report and feature suggestion, please use this repository issues page.

Contribution

Contributions are always welcome, as they improve the quality of the libraries we provide to the community.

Please provide your changes covered by the appropriate unit tests, and post them in the pull requests page.

Setup

To install the requirements, run:

python3 setup.py install --user

Once you implementer all your changes and the unit tests, run the following command to run the tests:

EMAIL_VAL_API_KEY=YYYYYY python3 tests/test_python_email_validation.py