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# -*- coding=utf-8 -*-
'''
人生苦短,我用Python
'''
###以此怀念###
import re
import os
import time
import lxml
import random
import requests
import multiprocessing
from bs4 import BeautifulSoup
###################### 全局变量 ##############################
url = 'https://www.mzitu.com/all' # 需要爬取的网页地址
ua = ['Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:70.0) Gecko/20100101 Firefox/70.0',
'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/535.1 (KHTML, like Gecko) Chrome/14.0.835.163 Safari/535.1',
'Opera/9.80 (Windows NT 6.1; U; zh-cn) Presto/2.9.168 Version/11.50',
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.86 Safari/537.36',
'Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; WOW64; Trident/5.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; InfoPath.3; .NET4.0C; .NET4.0E)'
]
Usera = random.choice(ua) #随机一个ua
headers = {'User-Agent':Usera,
'Accept': "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
'Accept-Encoding': 'gzip',
"Referer": "https://www.mzitu.com/all"} # 创建头部信息
##############################################################
def get(url): # 发送网络请求
a = requests.get(url, headers=headers)
html = a.text
return html
def main():
soup = BeautifulSoup(get(url), 'lxml') # 解析爬取网址
all_url = soup.find('div', class_='all').find_all('a') # 过滤数据到all_url列表中
for mulu in all_url: # 遍历url列表
if mulu.get_text() == '早期图片':
continue
else:
dict_mulu = {
'title': mulu.get_text(),
'link': mulu.get('href'),
'ID': re.findall('\d+', mulu.get('href'))
} # 过滤出字典
mulu_id = dict_mulu['ID'] #读字典ID开始过滤已下载内容
with open('已下载列表.txt','a+') as file:
file.seek(0)
txt = file.read().splitlines()
aa = list(txt)
wancheng = [True for a in mulu_id if a not in aa]
if wancheng:
mulu_url = dict_mulu['link']
print('开始下载当前图帖链接:', mulu_url)
soup2 = BeautifulSoup(get(mulu_url), 'lxml') # 解析字典中的目录地址
img_mulu = soup2.find("div", {"class": "main-image"}).find("img")['src'] # 匹配图片地址
page = soup2.find_all("span")[9] # 取图贴页数
max_page = page.get_text()
os.chdir(img_dir)
new_dir(dict_mulu['title'])
imgs = []
for j in range(1, int(max_page) + 1):
pages = str(j).zfill(2)
img_url = img_mulu[0:-6]+pages+'.jpg' # 图片链接
# 图片名
img_name = dict_mulu['title'] + str(j)
img = (img_name, img_url)
imgs.append(img)
cores = multiprocessing.cpu_count()
p = multiprocessing.Pool(processes=cores)
p.map(down, imgs)
p.close()
p.join()
get_end(str(dict_mulu['ID']))
else:
print(str(dict_mulu['ID'])+'正在跳过已下载内容....')
def down(imgs):
name = imgs[0]
image = imgs[1]
f = open(name + '.jpg', 'wb+')
img = requests.get(image, headers=headers)
if str(img) == '<Response [200]>':
print('下载图片...',name,image)
f.write(img.content)
f.close()
def new_dir(name): # 创建文件夹
if os.path.exists(name):
print('"%s" 文件夹已存在'%name)
os.chdir(name)
else:
print('创建文件夹: {}'.format(name))
os.mkdir(name)
os.chdir(name)
def get_end(id): #写出已下载列表
os.chdir(img_dir)
ftxt = open('已下载列表.txt', 'a+')
txt = id.strip("[']")
ftxt.write(txt+'\n')
ftxt.close()
if __name__ == '__main__':
print("####################################################################")
print("# 开始执行脚本... #")
print("# 支持断点续传,重新执行脚本即可... #")
print("# 以此怀念 2019.11.30 #")
print("####################################################################")
img_dir = 'D:\学习资料' # 设定存储爬取图片的路径
new_dir(img_dir)
yanshi = 0.3 # 设定抓取图片延时(0.3秒)
main()
############################## End 2019.11.30 ###################################### |
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楼主: 尘封记忆
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发表于 2019-12-1 14:12
