一、爬取百度的图片

1.代码

import requests
url = 'http://g.hiphotos.baidu.com/image/pic/item/5366d0160924ab18014cefd83bfae6cd7a890b82.jpg'
response = requests.get(url)
# 获取bytes类型的响应
data = response.content
with open('风景.jpg','wb') as f:
    f.write(data)

2.结果

风景.jpg

二、豆瓣TOP250爬虫

1.代码

# 豆瓣TOP250爬虫
import requests
from lxml import etree
def spider_douban_top250():
    movie_list_info = []
    headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.142 Safari/537.36"}
    for i in range(0, 250, 25):
        url = 'https://movie.douban.com/top250?start={}&filter='.format(i)

        # 获取bytes类型响应
        data = requests.get(url, headers=headers).content
        html = etree.HTML(data)



        ol_list = html.xpath('//div[@id="content"]//div[@class="article"]/ol/li')

        for movie in ol_list:
            # 影片序号
            serial_number = movie.xpath('./div[@class="item"]/div[@class="pic"]/em/text()')
            if len(serial_number) == 0:
                serial_number = ''
            else:
                serial_number = serial_number[0]
            # print(serial_number)
            # 电影的名字
            movie_name = movie.xpath('./div[@class="item"]/div[@class="info"]/div[@class="hd"]/a/span[1]/text()')[0]
            # print(movie_name)
            # 电影的介绍
            movie_introduce = movie.xpath('./div[@class="item"]/div[@class="info"]/div[@class="bd"]/p[1]/text()')[
                0].strip()
            # print(movie_introduce)
            # 电影的星级
            star = \
            movie.xpath('./div[@class="item"]/div[@class="info"]/div[@class="bd"]/div[@class="star"]/span[2]/text()')[0]
            # print(star)
            # 电影的评价
            evalute = movie.xpath(
                './div[@class="item"]/div[@class="info"]/div[@class="bd"]/div[@class="star"]/span[4]/text()')
            evalute = evalute[0].replace('人评价', '')
            # print(evalute)
            # 电影的描述
            describe = movie.xpath('./div[@class="item"]/div[@class="info"]/div[@class="bd"]/p[@class="quote"]/span[1]/text()')
            # print(describe)
            # 电影封面的地址
            movie_img_url = movie.xpath('./div[@class="item"]/div[@class="pic"]/a/img/@src')[0]
            # print(movie_img_url)

            movie_list_info.append({
                'serial_number': serial_number,
                'movie_name': movie_name,
                'movie_introduce': movie_introduce,
                'star': star,
                'evalute': evalute,
                'describe': describe,
                'movie_img_url': movie_img_url
            })
    for movie in movie_list_info:
        print(movie)

        # 下载图片
    for movie in movie_list_info:
        url = movie['movie_img_url']
        resp = requests.get(url)
        if resp.status_code == 200:
            img_name = '0000000{}.jpg'.format(movie['serial_number'])
            with open('./imgs/{}'.format(img_name), 'wb') as f:
                f.write(resp.content)


spider_douban_top250()

2.结果

控制台输出

爬取的图片

爬取图片中的一张-00000001.jpg

三、总结方法

1.在要爬取的网站点击F12查看网页代码，选择图片元素查找其代码的位置然后鼠标右键选择编辑HTML，把图片的名称复制一下；
2.然后在网页鼠标右键选择查看页面源代码>按ctrl加F打开搜索栏把刚刚复制的图片名称放进去；
3.这个<img>标签里面的src所存的地址就是我们要找的图片地址，下面开始把图片地址爬取下来；
4.观察图片地址的规律，start=(这一页从第几开始)，然后开始实现爬取十个页面的电影图片地址；
5.把所有图片的地址都爬取下来了，然后把图片下载到本地，

 urllib.request.urlretrieve(res[i],filename="./movie/"+str(start+i)+".jpg")
#filename=(自己要存图片的目录)，后面加的是图片的命名