本帖最后由 huguo002 于 2019-6-13 14:15 编辑
超简单！python多线程采集头像图片
超简单！python多线程采集头像图片
1.使用到的库requests、etree、re、os、ThreadPool
2.网页编码为utf-8需要转码：html.encoding="utf-8"
3.使用xpath获取图片链接
4.使用了多线程
5.需要输入页面n，具体可以看动态图片
6.头像首页为栏目页，没有页面，这里用了if判断
7.py打包exe命令：pyinstaller -F 目录文件.py
[Python] 纯文本查看 复制代码 #www.woyaogexing.com头像采集
# -*- coding: utf-8 -*-
import requests
from lxml import etree
import re
import os
from multiprocessing.dummy import Pool as ThreadPool
def hqlj(n):
urls = []
for x in range(2,n+1):
url=f'https://www.woyaogexing.com/touxiang/index_{x}.html'
if x==1:
url='https://www.woyaogexing.com/touxiang/index.html'
print(url)
html=requests.get(url)
html.encoding="utf-8"
html=html.text
con=etree.HTML(html)
'''href=con.xpath('//div[@class="txList "]/a')
print(href)
for urls in href:
print(urls.attrib['href'])'''
href=con.xpath('//div[@class="txList "]/a/@href')
print(href)
for lj in href:
lj=f'https://www.woyaogexing.com{lj}'
print(lj)
urls.append(lj)
print(urls)
return urls
def hqtx(url):
#url="https://www.woyaogexing.com/touxiang/qinglv/2019/800160.html"
html=requests.get(url)
html.encoding="utf-8"
html=html.text
con=etree.HTML(html)
h1=con.xpath('//h1/text()')
h1=h1[0]
h1 = re.sub(r'[\|\/\<\>\:\*\?\\\"]', "_", h1) # 剔除不合法字符
print(h1)
os.makedirs(f'./touxiang/{h1}/',exist_ok=True)
imgs=con.xpath('//img[@class="lazy"]/@src')
print(imgs)
i=1
for img in imgs:
img_url=f'https:{img}'
if 'jpeg' in img_url:
img_name=img_url[-5:]
else:
img_name = img_url[-4:]
n=str(i)
img_name='%s%s'%(n,img_name)
print(img_name)
print(img_url)
r=requests.get(img_url)
with open(f'./touxiang/{h1}/{img_name}','ab+') as f:
f.write(r.content)
print(f"保存{img_name}图片成功！")
i=i+1
#hqlj("https://www.woyaogexing.com/touxiang/")
if __name__ == '__main__':
n=input("请输入要采集的页码数：",)
n=int(n)
urls=(hqlj(n))
try:
# 开4个 worker，没有参数时默认是 cpu 的核心数
pool = ThreadPool()
results = pool.map(hqtx, urls)
pool.close()
pool.join()
print("采集所有头像完成！")
except:
print("Error: unable to start thread")
最后附上exe打包程序，需要的可以试试！
链接: https://pan.baidu.com/s/12--cjhgy_emKhx5-pEg5sA 提取码: fuas
爬取了500页数据，分享给大家吧！总共1.71g！
链接：https://pan.baidu.com/s/1kS-wDMc9yqaRl1m2qxKfCA
提取码：trrz
看了下有部分数据编码好像有问题，大家凑合着用吧，不想改了！
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发表于 2019-6-12 21:37
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发表于 2019-6-12 21:39
