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This article mainly introduces Python's method of simply identifying website domain names and owners based on the whois module, and briefly analyzes the installation and use of Python whois module related operating techniques. Friends in need can refer to this article
The example describes how Python can simply identify the website domain name and owner based on the whois module. Share it with everyone for your reference, the details are as follows:
For some websites, we may care who their owners are. In order to find the owner of the website, we can use the WHOIS protocol to query who the registrant of the domain name is. There is a wrapper library for this protocol in Python. We can install it through pip.
pip install python-whois
Supplement: This machine has two versions of Python2 and Python3 installed. Here, pip2 is used to install the python-whois
module, as follows As shown in the picture:
The native Python3 environment is suitable for pip3 installation python-whois The module is shown in the following picture:
Import moduleimport whois
>>> import whois >>> whois.whois('https://www.cgtz.com/') {u'updated_date': datetime.datetime(2018, 3, 26, 7, 37, 52), u'status': [u'clientTransferProhibited https://icann.org/epp#clientTransferProhibited', u'clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited'], u'name': u'Nexperian Holding Limited', u'dnssec': u'unsigned', u'city': u'Hangzhou', u'expiration_date': datetime.datetime(2025, 7, 12, 18, 24, 22), u'zipcode': u'311121', u'domain_name': [u'CGTZ.COM', u'cgtz.com'], u'country': u'CN', u'whois_server': u'grs-whois.hichina.com', u'state': u'Zhejiang', u'registrar': u'HiChina Zhicheng Technology Ltd.', u'referral_url': None, u'address': u'Le Jia International No.999 Liang Mu Road Yuhang District', u'name_servers': [u'VIP1.ALIDNS.COM', u'VIP2.ALIDNS.COM'], u'org': u'Nexperian Holding Limited', u'creation_date': datetime.datetime(2008, 7, 12, 18, 24, 22), u'emails': [u'DomainAbuse@service.aliyun.com', u'YuMing@YinSiBaoHu.AliYun.com']} >>>
Supplement: The screenshot of the Python2 running result is as follows:
The running effect in Python3 environment is as follows:
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