


Python's method to simply identify website domain name and owner based on whois module
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:
Related recommendations:
php whois query API production method
whois PHP implements domain name whois query code data source Wanwang, Xinwang
##
The above is the detailed content of Python's method to simply identify website domain name and owner based on whois module. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.
