python-whois 0.9.6
pip install python-whois
Released:
Whois querying and parsing of domain registration information.
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- License: MIT License (MIT)
- Author: Richard Penman
- Tags whois , python
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Project description
Goal
- Create a simple importable Python module which will produce parsed WHOIS data for a given domain.
- Able to extract data for all the popular TLDs (com, org, net, ...)
- Query a WHOIS server directly instead of going through an intermediate web service like many others do.
Example
>>> importwhois >>> w = whois.whois('example.com') >>> w.expiration_date # dates converted to datetime object datetime.datetime(2022, 8, 13, 4, 0, tzinfo=tzoffset('UTC', 0)) >>> w.text # the content downloaded from whois server u'\nDomain Name: EXAMPLE.COM Registry Domain ID: 2336799_DOMAIN_COM-VRSN ...' >>> print(w) # print values of all found attributes { "creation_date": "1995-08-14 04:00:00+00:00", "expiration_date": "2022-08-13 04:00:00+00:00", "updated_date": "2021-08-14 07:01:44+00:00", "domain_name": "EXAMPLE.COM", "name_servers": [ "A.IANA-SERVERS.NET", "B.IANA-SERVERS.NET" ], ...
Install
Install from pypi:
pipinstallpython-whois
Or checkout latest version from repository:
gitclonegit@github.com:richardpenman/whois.git pipinstall-rrequirements.txt
Run test cases:
python-mpytest
Using a proxy.
Set your environment SOCKS variable
exportSOCKS="username:password@proxy_address:port"
Problems?
Pull requests are welcome!
Thanks to the many who have sent patches for additional TLDs. If you want to add or fix a TLD it's quite straightforward. See example domains in whois/parser.py
Basically each TLD has a similar format to the following:
classWhoisOrg(WhoisEntry): """Whois parser for .org domains """ regex = { 'domain_name': 'Domain Name: *(.+)', 'registrar': 'Registrar: *(.+)', 'whois_server': 'Whois Server: *(.+)', ... } def__init__(self, domain, text): if text.strip() == 'NOT FOUND': raise WhoisDomainNotFoundError(text) else: WhoisEntry.__init__(self, domain, text, self.regex)
Project details
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๐ Avatar for Richard.Penman from gravatar.comRichard.Penman
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- License: MIT License (MIT)
- Author: Richard Penman
- Tags whois , python
Classifiers
- Environment
- Intended Audience
- License
- Operating System
- Programming Language
- Topic
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