Python batch captures pictures of beautiful women
学了python以后,知道python的抓取功能其实是非常强大的,当然不能浪费,呵呵。我平时很喜欢美女图,呵呵,程序员很苦闷的,看看美女,养养眼,增加点乐趣。好,那就用python写一个美女图自动抓取程序吧~~
其中用到urllib2模块和正则表达式模块。下面直接上代码:
用python批量抓取美女图片
#!/usr/bin/env python #-*- coding: utf-8 -*- #通过urllib(2)模块下载网络内容 import urllib,urllib2,gevent #引入正则表达式模块,时间模块 import re,time from gevent import monkey monkey.patch_all() def geturllist(url): url_list=[] print url s = urllib2.urlopen(url) text = s.read() #正则匹配,匹配其中的图片 html = re.search(r'<ol.*</ol>', text, re.S) urls = re.finditer(r'<p><img src="/static/imghw/default1.png" data-src="(.+?)jpg" class="lazy" / alt="Python batch captures pictures of beautiful women" ></p>',html.group(),re.I) for i in urls: url=i.group(1).strip()+str("jpg") url_list.append(url) return url_list def download(down_url): name=str(time.time())[:-3]+"_"+re.sub('.+?/','',down_url) print name urllib.urlretrieve(down_url, "D:\\TEMP\\"+name) def getpageurl(): page_list = [] #进行列表页循环 for page in range(1,700): url="http://jandan.net/ooxx/page-"+str(page)+"#comments" #把生成的url加入到page_list中 page_list.append(url) print page_list return page_list if __name__ == '__main__': jobs = [] pageurl = getpageurl()[::-1] #进行图片下载 for i in pageurl: for (downurl) in geturllist(i): jobs.append(gevent.spawn(download, downurl)) gevent.joinall(jobs)
程序不长才45行,不是太难,大家可以研究下,这里我只是抛砖引玉,大家可以根据原理开发出其他的抓取程序,呵呵,自己想去吧。。。我就不多说了~~

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.

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.

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.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

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.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.
