Python实现的飞速中文网小说下载脚本
1.JavaScript 加密什么的最讨厌了 :-(
1).eval 一个不依赖外部变量的函数立即调用很天真,看我 nodejs 来干掉你!
2).HTTP 请求的验证首先尝试 Referer,「小甜饼」没有想像中的那么重要。
3).curl 和各命令行工具处理起文本很顺手呢
4).但是 Python 也没多几行呢
2.Requests 效率比 lxml 自己那个好太多
3.progressbar 太先进了,我还是自个儿写吧……
4.argparse 写 Python 命令行程序必备啊~
5.string.Template也很好用哦
6.以下是主代码啦,除了标准库以及 lxml 和 requests,没有的模块都在无所不能的 winterpy 仓库里。其实主代码也在的。
#!/usr/bin/env python3 # vim:fileencoding=utf-8 import sys from functools import partial from string import Template import argparse import base64 from urllib.parse import unquote from lxml.html import fromstring import requests from htmlutils import extractText from termutils import foreach session = requests.Session() def main(index, filename='$name-$author.txt', start=0): r = session.get(index) r.encoding = 'gb18030' doc = fromstring(r.text, base_url=index) doc.make_links_absolute() name = doc.xpath('//div[@class="info"]/p[1]/a/text()')[0] author = doc.xpath('//div[@class="info"]/p[1]/span/text()')[0].split()[-1] nametmpl = Template(filename) fname = nametmpl.substitute(name=name, author=author) with open(fname, 'w') as f: sys.stderr.write('下载到文件 %s。\n' % fname) links = doc.xpath('//div[@class="chapterlist"]/ul/li/a') try: foreach(links, partial(gather_content, f.write), start=start) except KeyboardInterrupt: sys.stderr.write('\n') sys.exit(130) sys.stderr.write('\n') return True def gather_content(write, i, l): # curl -XPOST -F bookid=2747 -F chapterid=2098547 'http://www.feisuzw.com/skin/hongxiu/include/fe1sushow.php' # --referer http://www.feisuzw.com/Html/2747/2098547.html # tail +4 # base64 -d # sed 's/&#&/u/g' # ascii2uni -qaF # ascii2uni -qaJ # <p> paragraphs url = l.get('href') _, _, _, _, bookid, chapterid = url.split('/') chapterid = chapterid.split('.', 1)[0] r = session.post('http://www.feisuzw.com/skin/hongxiu/include/fe1sushow.php', data={ 'bookid': bookid, 'chapterid': chapterid, }, headers={'Referer': url}) text = r.content[3:] # strip BOM text = base64.decodebytes(text).replace(b'&#&', br'\u') text = text.decode('unicode_escape') text = unquote(text) text = text.replace('<p>', '').replace('</p>', '\n\n') title = l.text write(title) write('\n\n') write(text) write('\n') return title if __name__ == '__main__': parser = argparse.ArgumentParser(description='下载飞速中文网小说') parser.add_argument('url', help='小说首页链接') parser.add_argument('name', default='$name-$author.txt', nargs='?', help='保存文件名模板(支持 $name 和 $author') parser.add_argument('-s', '--start', default=1, type=int, metavar='N', help='下载起始页位置(以 1 开始)') args = parser.parse_args() main(args.url, args.name, args.start-1)

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.

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.

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.

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.
