如何多线程下载图片,需要调用down函数

复制代码
import requests
from bs4 import BeautifulSoup
from concurrent.futures import ThreadPoolExecutor,ProcessPoolExecutor

# url = 'https://www.umei.cc/meinvtupian/meinvxiezhen/'
def down(url):
    headers = {
        'authority': 'www.umei.cc',
        'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
        'accept-language': 'zh-CN,zh;q=0.9',
        'cache-control': 'max-age=0',
   
        'referer': 'https://www.umei.cc/bizhitupian/',
        'sec-ch-ua': '"Chromium";v="122", "Not(A:Brand";v="24", "Google Chrome";v="122"',
        'sec-ch-ua-mobile': '?0',
        'sec-ch-ua-platform': '"Windows"',
        'sec-fetch-dest': 'document',
        'sec-fetch-mode': 'navigate',
        'sec-fetch-site': 'same-origin',
        'sec-fetch-user': '?1',
        'upgrade-insecure-requests': '1',
        'user-agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.6261.95 Safari/537.36',
    }

    response = requests.get(url, cookies=cookies, headers=headers)
    response.encoding="utf-8"

    soup =BeautifulSoup(response.text,'lxml')
    photos = soup.select("div.title a")

    for p in photos:
         p_url = p['href'].split("=")[-1]
         pnurl = "https://www.umei.cc/"+p_url
         p_name =p.text
         print(pnurl,p_name)
         res = requests.get(url=pnurl,cookies=cookies, headers=headers)
         res.encoding=("utf-8"),
         soup = BeautifulSoup(res.text, 'lxml')
         pp = soup.select("div.big-pic a img")[-1]
         pp_url=pp.get('src')
         res1 = requests.get(url=pp_url, cookies=cookies, headers=headers)
         open(f'img/{p_name}.jpg','wb').write(res1.content)

if __name__ == "__main__":
    with ThreadPoolExecutor(10) as t:
        for i in range(1,217):
            url = f'https://www.umei.cc/meinvtupian/rentiyishu/index_{i}.htm'
            t.submit(down,url)
相关推荐
Q_Q5110082853 分钟前
python+django/flask的在线学习系统的设计与实现 积分兑换礼物
spring boot·python·django·flask·node.js·php
Q_Q5110082851 小时前
python+django/flask的车辆尾气检测排放系统-可视化大屏展示
spring boot·python·django·flask·node.js·php
汤姆yu1 小时前
2026版基于python大数据的旅游可视化及推荐系统
python·旅游·大数据旅游
angleoldhen1 小时前
简单的智能数据分析程序
python·信息可视化·数据分析
youzj09252 小时前
docker网站配置
python
snowfoootball2 小时前
python函数及面向过程高级特性
开发语言·python
DP+GISer2 小时前
基于站点数据进行遥感机器学习参数反演-以XGBOOST反演LST为例(附带数据与代码)试读
人工智能·python·机器学习·遥感与机器学习
工业互联网专业3 小时前
基于协同过滤算法的小说推荐系统_django+spider
python·django·毕业设计·源码·课程设计·spider·协同过滤算法
星星的月亮叫太阳3 小时前
large-scale-DRL-exploration 代码阅读 总结
python·算法
Q_Q19632884754 小时前
python+django/flask基于Echarts+Python的图书零售监测系统设计与实现(带大屏)
spring boot·python·django·flask·node.js·php