Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

Validation of the email or international or local telephone number

Project description

PHONE & EMAIL Verifier

Description

Validation of the email and international or local telephone number.

Install

If you install with

pip install phone_email_verifier

1 : Download here https://github.com/Bogro/phone_email_verifier/blob/develop/phone_email_verifier/code.txt and drop it at the root of your project.

2 : Add the phone code dictionary path in the .env of your project.

#.env
DICT_CODE="dict_name.txt"

Note: This file is important for checking phone numbers

For direct downloads on github you do not need to follow the process above

Usage

E-mail

from phone_email_verifier.email_verifier import email_verifier as email_v


email = email_v()

email_list = ['test@mail.tx', 'demo@mail.test', 'e.mail@mailer.com']

>>> email.set_email_list(email_list) 

or

>>> email.set_email_in_file(file_name)

>>> email.exec()

{'OK': ['test@mail.tx', 'e.mail@mailer.com'], 'ERROR': ['demo@mail.test']}

Remarque:

It is possible to make a restriction on the country by making:

>>> email.set_email_list(email, 'FR')

or

>>> email.set_email_in_file(file_name, 'FR')

and this will make a filter on any email not ending

.fr

if the file used is a CSV, indicate the column of email

>>> email.set_email_in_file(file_name, colum=0)

or

>>> email.set_email_in_file(file_name, 'FR', 0)
Reamarque
Les types de fichier utilisable sont:
CSV et TXT

Phone

from phone_email_verifier.phone_verifier import phone_verifier as phone_v

phone = phone_v()

phone_list = ['+22547000000', '+225-47-00-00-00', '+225 47 00 00 00 00', '+33 00 25 00 11', '47 02 00 00']

simple use

>>> filter.set_phone_list(phone_list)

or

>>> filter.set_phone_in_file(file_name)

>>> filter.exec()

{'OK': ['+22547000000', '+22547000000', '+2254700000000', '+3300250011'], 'ERROR': ['47020000']}

Advance use

It is possible to make a precision with the name of the country and is identifying code

>>> filter.set_phone_list(phone_list, 'FR', '+33')

or

>>> filter.set_phone_in_file(name_list, 'FR', '+33', colum=0) # colum is column of numbers

>>> filter.exec()

{'OK': ['+3300250011'], 'ERROR': ['47020000', '+22547000000', '+22547000000', '+2254700000000']}

It is important to specify the number column when the file is a csv file.

For code dictionary identify countries

You can add or reduce the list according to your usage. I advise you to reduce according to your use, to make fast execution

How to add

To add, go to the line and:

The name of the country, abbreviation of the name, identify code (+33 | 33 | 0033), length of the number without the identified code and the local code, the local code if it exists,

Example:

Country name

France

Abbreviation country name

FR

Identify code

+33|33|0033

Length phone number

8

Note:

If the number can be several lengths, add it in ascending order with " | " as separator

6|7|8|9

Local code

s'il existe

0

Note: if there are more than one, add with " | " as separator

0|1|2

if it does not exist the line ends with a

','

in the end we have this line

France,FR,+33|33|0033,8,0,

Final note

* The spaces between the values ​​are forbidden
* The finished line always with a ";

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for phone-email-verifier, version 0.0.4
Filename, size File type Python version Upload date Hashes
Filename, size phone_email_verifier-0.0.4-py3-none-any.whl (9.9 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size phone_email_verifier-0.0.4.tar.gz (5.8 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page