Python爬虫一则

行8 2020-11-13 01:23:16
Python 爬虫 CSDN


就是个python爬虫

就像爬个图看看
源网站链接:http://www.setuw.com
使用python编写,使用了threadpool 等库,自行下载。
环境:python 3 , win10 , 树莓派环境下测试通过

网站元素结构

在这里插入图片描述
在这里插入图片描述

代码

# -*- coding: utf-8 -*
from concurrent.futures import ThreadPoolExecutor
import urllib.request
import _thread
import json
import threadpool
from time import sleep
from bs4 import BeautifulSoup
import os
import random
maxThreadCount = 8
available_thread = 8
baseDomain="http://www.setuw.com"
intrance = "http://www.setuw.com/tag/rosi/"
#网站分类对应的目录
tags = [ "/tag/rosi/", "/tag/tuigirl/" , "/tag/ugirls/" ,
"/tag/xiuren/" , "/tag/disi/" , "/tag/dongman/" , "/tag/xinggan/" ,
"/tag/qingchun/" , "/tag/youhuo/" , "/tag/mote/" , "/tag/chemo/" ,
"/tag/tiyu/" , "/tag/zuqiubaobei/" , "/meinv/liuyan/"
]
types = ["ROSI" , "推女郎" , " 尤果" , " 秀人 " ,
" DISI " , "动漫 " , "性感 " , "清纯 " , " 诱惑 " , " 模特 " , " 车模" , "体育" , " 足球" , " 柳岩" ]
typeSize = len(types)
path = ""
header = {
"User-Agent":'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36',
'Accept': '*/*',
'Accept-Language': 'en-US,en;q=0.8',
'Cache-Control': 'max-age=0',
'Connection': 'keep-alive'
}
def Download(argv1):
url = argv1.split("#")[0]
title = argv1.split("#")[1]
name = argv1.split("#")[2]
#print("URl is " , url, " , title is " , title , " , name is " , name)
print("Download processing:" , argv1.split("#")[3])
apath = path+"/" + title + "/"
#print(apath)
if not os.path.exists(apath): #判断系统是否存在该路径,不存在则创建
os.makedirs(apath)
urllib.request.urlretrieve( url, '{0}{1}.jpg'.format(apath, name)) # ,下载图片保存在本地
return
def run(targetUrl,title):
global available_thread
print("downloading " + title)
req = urllib.request.Request(url=targetUrl,headers=header)
response = urllib.request.urlopen(req)#1111111这里的req可看成一种更为高级的URL
html = response.read().decode('utf-8','ignore')
soup = BeautifulSoup(html, 'html.parser')
imgs = soup.find_all('img')
size = len(imgs)
resules = 1
with ThreadPoolExecutor(maxThreadCount) as pool:
for i in range(2,size-16):
#已经证实过,页面中抓取的img,2到size-6为图集图片
data = imgs[i]["datas"]
all = data.split("'")
'''
参数列表:下载链接,图集名,图片名,图集下载进度
'''
argv ={ all[len(all) - 2] + "#" + title + "#" + all[len(all) - 2].split(".")[1]+str(i) + "#" + str(i-1) + "/" + str(size-18) }
results = pool.map(Download,(argv)) #使用map添加线程进线程池
print(title , " download successfull;")
return
if __name__ == '__main__':
'''自定义下载路径。若输入.,则下载至当前目录,跳过则下载到/home/hdd/picDl/(这是我)
自己的硬盘挂载点。。。可自定义)'''
input1 = input("input a folder(. as ./ , none as /home/hdd/picDl/):")
if input1==".":
path = "./"
elif input1=="":
path = "/home/hdd/picDl/"
else:
path = input1
print("Path seted to " + path)
#选择一个下载类别。在网站最上方有,我是手动找出来的,有时效性
for i in range(0,len(types)-1):
print("| " + str(i)+ " | " + types[i] + " | ")
print("select a type to download , ")
index = input(" or input nothing to download index page:")
if index == "":
intrance = intrance
else:
index1 = int(index)
if index1 < len(types)-1 and index1 > 0 :
intrance = baseDomain + tags[index1]
else:
print("something wrong , setting download tartget as default")
intrance = intrance
print( intrance + " is going to download.")
'''
自定义下载线程数。注意,函数中每个线程用于下载一张图片,
所以只能说是多个图片并行下载。
'''
maxThreadCount_ = input("input a number if you want to modify default thread number:")
if maxThreadCount_ == "" :
print("using default number:" , maxThreadCount)
else :
print("Modified number to:" , maxThreadCount_)
maxThreadCount = int(maxThreadCount_)
req = urllib.request.Request(url=intrance,headers=header)
response = urllib.request.urlopen(req)
html = response.read().decode('utf-8','ignore')
#解码 得到这个网页的html源代码
soup = BeautifulSoup(html, 'html.parser')
Divs = soup.find_all('a',attrs={'class':'a1' })
for div in Divs:
if div["href"] is None:
print("没有图集了")
# return
elif div['href'] is None or div['href']=="": #有链接,但是是 空链接
print("图集没有连接")
# return
else:
targetUrl= baseDomain + div['href']
title=div["title"]
print("正在下载套图:" + title)
run(targetUrl,title)

缺点(改进方向):

  1. 目前只下载分类第一页的图集
  2. 不能保存下载进度。
  3. 没了吧。。欢迎批评指正
版权声明
本文为[行8]所创,转载请带上原文链接,感谢
https://blog.csdn.net/Apheal/article/details/100839211

  1. 利用Python爬虫获取招聘网站职位信息
  2. Using Python crawler to obtain job information of recruitment website
  3. Several highly rated Python libraries arrow, jsonpath, psutil and tenacity are recommended
  4. Python装饰器
  5. Python实现LDAP认证
  6. Python decorator
  7. Implementing LDAP authentication with Python
  8. Vscode configures Python development environment!
  9. In Python, how dare you say you can't log module? ️
  10. 我收藏的有关Python的电子书和资料
  11. python 中 lambda的一些tips
  12. python中字典的一些tips
  13. python 用生成器生成斐波那契数列
  14. python脚本转pyc踩了个坑。。。
  15. My collection of e-books and materials about Python
  16. Some tips of lambda in Python
  17. Some tips of dictionary in Python
  18. Using Python generator to generate Fibonacci sequence
  19. The conversion of Python script to PyC stepped on a pit...
  20. Python游戏开发,pygame模块,Python实现扫雷小游戏
  21. Python game development, pyGame module, python implementation of minesweeping games
  22. Python实用工具,email模块,Python实现邮件远程控制自己电脑
  23. Python utility, email module, python realizes mail remote control of its own computer
  24. 毫无头绪的自学Python,你可能连门槛都摸不到!【最佳学习路线】
  25. Python读取二进制文件代码方法解析
  26. Python字典的实现原理
  27. Without a clue, you may not even touch the threshold【 Best learning route]
  28. Parsing method of Python reading binary file code
  29. Implementation principle of Python dictionary
  30. You must know the function of pandas to parse JSON data - JSON_ normalize()
  31. Python实用案例,私人定制,Python自动化生成爱豆专属2021日历
  32. Python practical case, private customization, python automatic generation of Adu exclusive 2021 calendar
  33. 《Python实例》震惊了,用Python这么简单实现了聊天系统的脏话,广告检测
  34. "Python instance" was shocked and realized the dirty words and advertisement detection of the chat system in Python
  35. Convolutional neural network processing sequence for Python deep learning
  36. Python data structure and algorithm (1) -- enum type enum
  37. 超全大厂算法岗百问百答(推荐系统/机器学习/深度学习/C++/Spark/python)
  38. 【Python进阶】你真的明白NumPy中的ndarray吗?
  39. All questions and answers for algorithm posts of super large factories (recommended system / machine learning / deep learning / C + + / spark / Python)
  40. [advanced Python] do you really understand ndarray in numpy?
  41. 【Python进阶】Python进阶专栏栏主自述:不忘初心,砥砺前行
  42. [advanced Python] Python advanced column main readme: never forget the original intention and forge ahead
  43. python垃圾回收和缓存管理
  44. java调用Python程序
  45. java调用Python程序
  46. Python常用函数有哪些?Python基础入门课程
  47. Python garbage collection and cache management
  48. Java calling Python program
  49. Java calling Python program
  50. What functions are commonly used in Python? Introduction to Python Basics
  51. Python basic knowledge
  52. Anaconda5.2 安装 Python 库(MySQLdb)的方法
  53. Python实现对脑电数据情绪分析
  54. Anaconda 5.2 method of installing Python Library (mysqldb)
  55. Python implements emotion analysis of EEG data
  56. Master some advanced usage of Python in 30 seconds, which makes others envy it
  57. python爬取百度图片并对图片做一系列处理
  58. Python crawls Baidu pictures and does a series of processing on them
  59. python链接mysql数据库
  60. Python link MySQL database