Skip to main content

Another whois scraper

Project description

Lint and test GitHub All Releases GitHub Issues GitHub PR Licence Pypi py version Last Commit

A WhoIs parser

Just a whois parser

Available countries:

  • .ar: Argentina

Sample

from whoare.whoare import WhoAre
wa = WhoAre()
wa.load('fernet.com.ar')  # optional torify=True to run "torify whois ..."

wa.domain.base_name
'fernet'
wa.domain.zone
'com.ar'
wa.domain.full_name()
'fernet.com.ar'
wa.domain.registered
datetime.datetime(2020, 5, 7, 10, 44, 4, 210977)
wa.domain.expire
datetime.datetime(2021, 5, 7, 0, 0)

wa.registrant.name
'XXXX jose XXXXX'
wa.registrant.legal_uid
'20XXXXXXXX9'
wa.dnss[0].name
'ns2.sedoparking.com'
wa.dnss[1].name
'ns1.sedoparking.com'

Get new domains

Argentina

from datetime import date
from whoare.zone_parsers.ar.news_from_blockchain import NewDomains
nd = NewDomains()
nd.data_path = ''  # here
results = nd.get_from_date(date(2020, 3, 28))

{
    'zonas': {
        'com.ar': [
            '3cconstrucciones.com.ar',
            '4kids.com.ar'
            ],
        'ar': [
            'andamios.ar',
            'apuesta.ar',
            'camaras.ar'
            ],
        'tur.ar': [
            'villacarlospaz.tur.ar'
            ]
        },
    'errors': {}
}

Project details


Download files

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

Source Distribution

whoare-0.1.57.tar.gz (17.2 kB view hashes)

Uploaded Source

Built Distribution

whoare-0.1.57-py3-none-any.whl (21.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page