Python爬虫实战 使用线程池批量爬取必应1080P高清壁纸

本文纯粹为了技术学习，内容如有侵权，请告知！
目标URL：https://bing.ioliu.cn
爬取的图片


Python用到的主要模块

import requests
from lxml import etree
from concurrent.futures import ThreadPoolExecutor

代码实现

# coding: utf-8
import datetime
import time
import random
import requests
from lxml import etree
from concurrent.futures import ThreadPoolExecutor

user_agent = [
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/22.0.1207.1 Safari/537.1",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1092.0 Safari/536.6",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6",
    "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/19.77.34.5 Safari/537.1",
    "Mozilla/5.0 (Windows NT 6.0) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.36 Safari/536.5",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3",
    "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24"
]
# 随机选择UA
header = {
     "User-Agent": random.choice(user_agent)}

# 设置图片保存路径
path = r"C:\Spider\bing\ "

# 开始计时，统计任务的总耗时
start = datetime.datetime.now()

# 爬取方法，传入多个页面的url
def get_images(url):

    # 发送请求获取响应
    response = requests.get(url, headers=header)

    # 使用lxml模块提供的xpath提取图片链接地址
    html = etree.HTML(response.text)

    # 获取图片链接地址
    img_link = html.xpath('//a[@class="ctrl download"]/@href')
    # 获取到的图片链接需要拼接上get页面url->"https://bing.ioliu.cn"
    img_link = ['https://bing.ioliu.cn' + x for x in img_link]

    # 使用for循环从图片链接列表中提取图片内容并保存到本地
    for img in img_link:
        # img_content图片内容
        # img_name图片名，这里直接图片链接地址中抽取一部分作为图片名，再加上后缀'.jpg'
        img_content = requests.get(img, headers=header).content
        img_name = img.split('?')[0][-6:-1] + '.jpg'

        # 打印一下图片名，便于查看爬取情况
        print(img_name)

        # 保存图片，同时设置一下间隔时间(也可以不用设置)
        with open(path + img_name, 'wb') as f:
            f.write(img_content)
            time.sleep(random.randint(1, 2))


if __name__ == '__main__':

    """
    # 根据每一页的url可以看出https://bing.ioliu.cn/?p=的等号后面加上数字就是对应的页数
    # https://bing.ioliu.cn/?p=1，https://bing.ioliu.cn/?p=2，https://bing.ioliu.cn/?p=3
    # 使用列表推导式，从第1页爬取到50页(需要爬取的总页数可以调整)
    """
    url_list = [f'https://bing.ioliu.cn/?p={x}' for x in range(1, 51)]

    # 使用线程池提高爬取速度
    with ThreadPoolExecutor(max_workers=8) as executor:
        executor.map(get_images, url_list)

# 计时结束，打印任务完成后耗费的总时间
delta = (datetime.datetime.now() - start).total_seconds()
print(f'用时{delta}秒')

提示
代码只是实现简单的图片下载功能，目标url具有反爬机制，代码中并没有反反爬功能，如若copy运行，请自行斟酌。