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python多进程实战——4k图片抓取_怎么爬取4k图片

作者：Monodyee | 2024-04-11 06:47:21

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怎么爬取4k图片

技术交流贴：不可用于违法违规用途

成果图：

在这里插入图片描述

背景：疫情宅家太无聊了，练习了一下爬虫，里面用到了伪装请求头、多进程、代理IP等技术

开始：
首先我们来分析一下网页，只要找到我们需要的清析度的图片真实网址，再模仿正常的访问就能拿到图片了
!

在这里插入图片描述

我们先来看看图片的链接有没有藏在html里面，经过验证这个是缩略图，在点开一张高清的看看

在这里插入图片描述
在这里插入图片描述

对比发现，高清的图和缩略的图网址很接近，所以我们可以通过筛选出缩略图的网址，然后拼接成高清图片网址

其实就是一个big和-1920的区别，我们通过批量操作字符串可以很容易实现，这样我们就得到了真实的网址.

接下来就是模拟请求了，我们来查看一下高清图片的请求头信息

在这里插入图片描述

经过测试，这个网站几乎没有什么反爬措施，简单伪装一下请求头就能拿到数据，我也尝试用异步爬虫，但是请求过快服务器就之间断开连接了

我之所以要用代理IP和多进程，是为了提升爬取速度，每一页有30张图片，他这个栏目下有一万多张图片呢,

代理IP获取方法过于简单，我就不讲了，直接在代码里体现

import requests
from bs4 import BeautifulSoup
import time

class Proiex:
    def __init__(self,urls):
        self.urls = urls

    def get_ip(self):
        headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:98.0) Gecko/20100101 Firefox/98.0',
                   'Referer': 'http://www.ip3366.net/?page=1'}
        priexy = []
        for url in self.urls:
            r = requests.get(url, headers=headers)
            print('正在请求{}...{}'.format(url, r.status_code))
            r.encoding = r.apparent_encoding
            soup = BeautifulSoup(r.text, 'lxml')
            tobdy = soup.select('.table > tbody:nth-child(2) > tr')
            for tr in tobdy:
                ip = {}
                Str = tr.text.split('\n')
                # print(Str)
                pro = Str[2]
                add = Str[1]
                head = Str[4]
                # if head == 'HTTP':
                # ip = head + '://' + add + ':' + pro
                ip[head] = head + '://' + add + ':' + pro
                priexy.append(ip)

            time.sleep(1)
        return priexy


    def get_good_ip(self):
        headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:98.0) Gecko/20100101 Firefox/98.0',
                   'Referer': 'http://www.ip3366.net/?page=1'}
        Url = 'https://www.baidu.com'
        priexy = self.get_ip()
        good_ip = []
        for IP in priexy:
            try:
                res = requests.get(Url, headers=headers, proxies=IP)
                print('正在验证{}...'.format(IP))
                if res.status_code == 200:
                    good_ip.append(IP)
                else:
                    pass
            except:
                pass
        return good_ip

    def run(self):
        good_ip = self.get_good_ip()
        print('可用IP有{}个'.format(len(good_ip)))
        with open('代理IP.txt', 'a+', encoding='utf-8') as file:
            for ip in good_ip:
                file.write(str(ip) + ',')
            print('代理IP保存成功')

if __name__ == '__main__':
    urls = ['http://www.ip3366.net/?page={}'.format(i) for i in range(10)]
    pro = Proiex(urls)
    pro.run()


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最后，我把代码封装起来了
**

上完整代码

**

import requests
from bs4 import BeautifulSoup
from multiprocessing import Pool
import time
import os
import random

class Spider:
    '''
    这是一个图片爬虫类，
    目标地址是：https://wall.alphacoders.com/by_category.php?id=10&name=%E8%87%AA%E7%84%B6+%E5%A3%81%E7%BA%B8&lang=Chinese
    爬取该分类页面下1920*1080的爬虫，可根据自己的需求爬取相应的页数
    里面应用了伪装请求头、代理IP、多进程
    最后封装成类
    '''

    # 定义构造函数
    def __init__(self,start_page,end_page):
        self.start_page = start_page
        self.end_page = end_page

    # 随机获取一个请求头
    def get_headers(self):
        user_agent = [
            "Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50",
            "Mozilla/5.0 (Windows; U; Windows NT 6.1; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50",
            "Mozilla/5.0 (Windows NT 10.0; WOW64; rv:38.0) Gecko/20100101 Firefox/38.0",
            "Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; .NET4.0C; .NET4.0E; .NET CLR 2.0.50727; .NET CLR 3.0.30729; .NET CLR 3.5.30729; InfoPath.3; rv:11.0) like Gecko",
            "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)",
            "Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0)",
            "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0)",
            "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1)",
            "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.6; rv:2.0.1) Gecko/20100101 Firefox/4.0.1",
            "Mozilla/5.0 (Windows NT 6.1; rv:2.0.1) Gecko/20100101 Firefox/4.0.1",
            "Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; en) Presto/2.8.131 Version/11.11",
            "Opera/9.80 (Windows NT 6.1; U; en) Presto/2.8.131 Version/11.11",
            "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_0) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11",
            "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Maxthon 2.0)",
            "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; TencentTraveler 4.0)",
            "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)",
            "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; The World)",
            "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; SE 2.X MetaSr 1.0; SE 2.X MetaSr 1.0; .NET CLR 2.0.50727; SE 2.X MetaSr 1.0)",
            "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; 360SE)",
            "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Avant Browser)",
            "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)",
            "Mozilla/5.0 (iPhone; U; CPU iPhone OS 4_3_3 like Mac OS X; en-us) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8J2 Safari/6533.18.5",
            "Mozilla/5.0 (iPod; U; CPU iPhone OS 4_3_3 like Mac OS X; en-us) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8J2 Safari/6533.18.5",
            "Mozilla/5.0 (iPad; U; CPU OS 4_3_3 like Mac OS X; en-us) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8J2 Safari/6533.18.5",
            "Mozilla/5.0 (Linux; U; Android 2.3.7; en-us; Nexus One Build/FRF91) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1",
            "MQQBrowser/26 Mozilla/5.0 (Linux; U; Android 2.3.7; zh-cn; MB200 Build/GRJ22; CyanogenMod-7) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1",
            "Opera/9.80 (Android 2.3.4; Linux; Opera Mobi/build-1107180945; U; en-GB) Presto/2.8.149 Version/11.10",
            "Mozilla/5.0 (Linux; U; Android 3.0; en-us; Xoom Build/HRI39) AppleWebKit/534.13 (KHTML, like Gecko) Version/4.0 Safari/534.13",
            "Mozilla/5.0 (BlackBerry; U; BlackBerry 9800; en) AppleWebKit/534.1+ (KHTML, like Gecko) Version/6.0.0.337 Mobile Safari/534.1+",
            "Mozilla/5.0 (hp-tablet; Linux; hpwOS/3.0.0; U; en-US) AppleWebKit/534.6 (KHTML, like Gecko) wOSBrowser/233.70 Safari/534.6 TouchPad/1.0",
            "Mozilla/5.0 (SymbianOS/9.4; Series60/5.0 NokiaN97-1/20.0.019; Profile/MIDP-2.1 Configuration/CLDC-1.1) AppleWebKit/525 (KHTML, like Gecko) BrowserNG/7.1.18124",
            "Mozilla/5.0 (compatible; MSIE 9.0; Windows Phone OS 7.5; Trident/5.0; IEMobile/9.0; HTC; Titan)",
            "UCWEB7.0.2.37/28/999",
            "NOKIA5700/ UCWEB7.0.2.37/28/999",
            "Openwave/ UCWEB7.0.2.37/28/999",
            "Mozilla/4.0 (compatible; MSIE 6.0; ) Opera/UCWEB7.0.2.37/28/999",
            # iPhone 6
            "Mozilla/6.0 (iPhone; CPU iPhone OS 8_0 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) Version/8.0 Mobile/10A5376e Safari/8536.25",
            # 新版移动ua
            "Mozilla/5.0 (Linux;u;Android 4.2.2;zh-cn;) AppleWebKit/534.46 (KHTML,like Gecko) Version/5.1 Mobile Safari/10600.6.3 (compatible; Baiduspider/2.0; +http://www.baidu.com/search/spider.html)"
        ]

        return {
            'Referer': 'https://wall.alphacoders.com/by_category.php?id=10&name=%E8%87%AA%E7%84%B6+%E5%A3%81%E7%BA%B8&filter=4K+Ultra+HD&lang=Chinese',
            'User-Agent': random.choice(user_agent),
            # 'Host':'wall.alphacoders.com',
            'Cookie': '_ga_HL65XQTV30=GS1.1.1647389732.1.1.1647391529.0; _ga=GA1.2.420384196.1647389733; _gid=GA1.2.698323620.1647389733; bfp_sn_rf_8b2087b102c9e3e5ffed1c1478ed8b78=Direct/External; bfp_sn_rt_8b2087b102c9e3e5ffed1c1478ed8b78=1647389744622; bafp=36b8b960-a4be-11ec-bfda-c9dda86621eb; __gads=ID=a88d3f8639452fd5-22504efc01d100bb:T=1647389743:S=ALNI_MZUA8rg6eS6ZHqexIHYatVptp7Rkg; trc_cookie_storage=taboola%2520global%253Auser-id%3D1d921eb9-1ade-445e-8797-ff6f04b4520d-tuct92ab1f4; cto_bundle=paAq4V9XbGZSODlEOUhoOVoyakUlMkJLY3dXVWJpazNuQUdLeHNJMUxaR3YzcTRMWUZDVmFZWG9MdE42YjN5T21COSUyQk5ybEx1Wjd6aEJRTTQ3SnZ1bFhyWEFHZm1pYTRCRm9heFdPaEVaJTJCeGRYJTJGU2hXVnJaNld2a3h1NU9QcXNFT0daOVFNUzBjcENwRzNkM1hkR0ZLcnVCUVloZyUzRCUzRA; bfp_sn_pl=1647389739|8_792043541195; session_depth=wall.alphacoders.com%3D8%7C881384258%3D16',

        }

    # 获取图片缩略图的url，后面处理它得到高清图的url
    def get_src(self):
        # 设置一个空列表，用于存放缩略图url
        srcs = []
        # page = 2
        for i in range(self.start_page,self.end_page):
            params = {
                'scheme': 'https',
                'host': 'wall.alphacoders.com',
                'filename': '/by_category.php',
                'id': '10',
                'name': '自然 壁纸',
                'filter': '4K Ultra HD',
                'lang': 'Chinese',
                'quickload': '11199',
                'page': i,
            }
            headers = {
                'Referer': 'https://wall.alphacoders.com/by_category.php?id=10&name=%E8%87%AA%E7%84%B6+%E5%A3%81%E7%BA%B8&filter=4K+Ultra+HD&lang=Chinese',
                'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:98.0) Gecko/20100101 Firefox/98.0',
                'Host': 'wall.alphacoders.com',
                'Cookie': '_ga_HL65XQTV30=GS1.1.1647389732.1.1.1647391529.0; _ga=GA1.2.420384196.1647389733; _gid=GA1.2.698323620.1647389733; bfp_sn_rf_8b2087b102c9e3e5ffed1c1478ed8b78=Direct/External; bfp_sn_rt_8b2087b102c9e3e5ffed1c1478ed8b78=1647389744622; bafp=36b8b960-a4be-11ec-bfda-c9dda86621eb; __gads=ID=a88d3f8639452fd5-22504efc01d100bb:T=1647389743:S=ALNI_MZUA8rg6eS6ZHqexIHYatVptp7Rkg; trc_cookie_storage=taboola%2520global%253Auser-id%3D1d921eb9-1ade-445e-8797-ff6f04b4520d-tuct92ab1f4; cto_bundle=paAq4V9XbGZSODlEOUhoOVoyakUlMkJLY3dXVWJpazNuQUdLeHNJMUxaR3YzcTRMWUZDVmFZWG9MdE42YjN5T21COSUyQk5ybEx1Wjd6aEJRTTQ3SnZ1bFhyWEFHZm1pYTRCRm9heFdPaEVaJTJCeGRYJTJGU2hXVnJaNld2a3h1NU9QcXNFT0daOVFNUzBjcENwRzNkM1hkR0ZLcnVCUVloZyUzRCUzRA; bfp_sn_pl=1647389739|8_792043541195; session_depth=wall.alphacoders.com%3D8%7C881384258%3D16',

            }
            url = 'https://wall.alphacoders.com/by_category.php?id=10&name=自然 壁纸&filter=4K Ultra HD&lang=Chinese&quickload=11199&page=' + str(
                i)
            print('开始请求第{}页'.format(i))
            r = requests.get(url, headers=headers, data=params)
            # print(r.status_code,r.text)
            soup = BeautifulSoup(r.text, 'lxml')
            img = soup.select('img.img-responsive')

            for i in img:
                src = i['src']
                srcs.append(src)
            time.sleep(1)
        print('----------------------   页面请求已完成   ----------------------')
        return srcs

    def url_chuli(self,srcs):
        print('开始处理srcs')
        urls = []
        for src in srcs:
            s = src.split('thumbbig')[0]
            s1 = src.split('-')[1]
            zhong = 'thumb-1920-'
            url = s + zhong + s1
            urls.append(url)
        print('srcs处理已完成')
        return urls

    # 读入代理IP
    def read_ip(self):
        f = open('代理IP.txt', 'r', encoding='utf-8').read()
        good_id = f.split(',')
        num = len(f.split(','))
        return good_id,num

    def download(self,url):
        filename = url.split('com')[1]
        host = url.split('/')[2]
        params = {
            'scheme': 'https',
            'host': host,
            'filename': filename,
        }

        headers = self.get_headers()
        params = {
            'scheme': 'https',
            'host': host,
            'filename': filename,
        }
        good_id,num = self.read_ip()
        pro = eval(good_id[random.randint(0, num-2)])
        path = 'D:\\量化交易策略\\代码部分\\4k图片爬虫\\风景'
        # 如果没有path文件夹，将生成path文件夹
        if not os.path.exists(path):
            os.mkdir(path)
        res = requests.get(url, headers=headers, data=params, proxies=pro)
        if res.status_code == 200:
            with open(path + '\\' + '{}'.format(url.split('-')[-1]), 'wb') as file:
                file.write(res.content)
                print('{}下载成功'.format(url))
        else:
            print('下载失败，错误原因：{}'.format(res.status_code))

    # 定义主函数，调用各个函数
    def main(self):
        Start_time = time.time()
        pool = Pool(processes=6)
        urls = self.url_chuli(self.get_src())
        pool.map(self.download,urls)
        End_time = time.time()
        M = (End_time - Start_time) // 60
        S = (End_time - Start_time) % 60
        print('耗时{}分{:.2f}秒'.format(M, S))

class Proiex:
    '''
    这个类主要用来获取代理IP
    目标地址是：http://www.ip3366.net/
    这个网站没什么反爬，倒是很好获取，秉承着避免重复造轮子的思想将他封装成类
    '''

    def __init__(self,urls):
        self.urls = urls

    def get_ip(self):
        headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:98.0) Gecko/20100101 Firefox/98.0',
                   'Referer': 'http://www.ip3366.net/?page=1'}
        priexy = []
        for url in self.urls:
            r = requests.get(url, headers=headers)
            print('正在请求{}...{}'.format(url, r.status_code))
            r.encoding = r.apparent_encoding
            soup = BeautifulSoup(r.text, 'lxml')
            tobdy = soup.select('.table > tbody:nth-child(2) > tr')
            for tr in tobdy:
                ip = {}
                Str = tr.text.split('\n')
                # print(Str)
                pro = Str[2]
                add = Str[1]
                head = Str[4]
                # if head == 'HTTP':
                # ip = head + '://' + add + ':' + pro
                ip[head] = head + '://' + add + ':' + pro
                priexy.append(ip)
            time.sleep(1)
        return priexy

    def get_good_ip(self):
        headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:98.0) Gecko/20100101 Firefox/98.0',
                   'Referer': 'http://www.ip3366.net/?page=1'}
        Url = 'https://www.baidu.com'
        priexy = self.get_ip()
        good_ip = []
        for IP in priexy:
            try:
                res = requests.get(Url, headers=headers, proxies=IP)
                print('正在验证{}...'.format(IP))
                if res.status_code == 200:
                    good_ip.append(IP)
                else:
                    pass
            except:
                pass
        return good_ip

    def run(self):
        good_ip = self.get_good_ip()
        print('可用IP有{}个'.format(len(good_ip)))
        with open('代理IP.txt', 'a+', encoding='utf-8') as file:
            for ip in good_ip:
                file.write(str(ip) + ',')
            print('代理IP保存成功')


if __name__ == '__main__':
    '''
    代理IP类在第一次使用之后就可以注释掉了，不然每次运行都要先爬取一下代理网站，会造成资源的浪费
    '''
    # # 获取代理IP的前5页，得到可用的IP，并保存在本地，因为使用的是追加写，每次执行前，需要把’代理IP.txt‘清空
    # urls = ['http://www.ip3366.net/?page={}'.format(i) for i in range(5)]
    # pro = Proiex(urls)
    # pro.run()
    # Spider(起始页，结束页）
    start = int(input('请输入需要下载的起始页：'))
    end = int(input('请输入需要下载的结束页：'))
    spider = Spider(start,end)
    spider.main()





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用了多进程，效率提升不是一点点啊

感谢阅读，下次再见

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