读取不同的text1和text2文件中的内容，获取不同Cookie1和Cookie2信息，爬取相关网页图片，并存入本地文件image1和image2python完整代码

在Python中，你可以使用`requests`库来发送HTTP请求，包括获取Cookie，以及`BeautifulSoup`库来解析HTML并提取图片链接，然后用`urllib`或`wget`下载图片。这里是一个基本的示例，假设你已经有了text1和text2文件，它们分别包含了Cookie1和Cookie2的信息：

import requests
from bs4 import BeautifulSoup
import os

# 读取cookie信息
def get_cookies(file_name):
    with open(file_name, 'r') as f:
        cookies = f.read().strip()
    return cookies

# 爬取图片并保存
def download_images(url, cookie, image_name):
    response = requests.get(url, headers={'Cookie': cookie})
    
    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')
        img_tags = soup.find_all('img')  # 这里假设目标页面只有img标签包含图片
        for img in img_tags:
            img_url = img['src']
            try:
                local_img_path = os.path.join(os.getcwd(), image_name + '_' + img_url.split('/')[-1])
                with open(local_img_path, 'wb') as img_file:
                    img_data = requests.get(img_url).content
                    img_file.write(img_data)
                print(f"Image {img_url} downloaded to {local_img_path}")
            except Exception as e:
                print(f"Error downloading {img_url}: {e}")

# 使用cookies爬取并保存图片
for file_name, cookie_prefix in [('text1', 'Cookie1'), ('text2', 'Cookie2')]:
    cookie = get_cookies(file_name)
    url = "http://example.com"  # 替换为你需要爬取的实际网址
    image_name = f"{cookie_prefix}_images"
    download_images(url, cookie, image_name)