安装 requests、beautifulsoup4 库
# 安装 requests、beautifulsoup4 库 pip install requests beautifulsoup4 -i https://pypi.tuna.tsinghua.edu.cn/simple
完成代码
# pip install requests beautifulsoup4 -i https://pypi.tuna.tsinghua.edu.cn/simple import os import requests from bs4 import BeautifulSoup from urllib.parse import urlparse, urljoin def download_images(url): headers = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/88.0.4324.96 Safari/537.36" } # 发送HTTP请求并获取网页源代码 response = requests.get(url, headers=headers) if response.status_code == 200: # 使用 BeautifulSoup 解析 HTML 内容 soup = BeautifulSoup(response.text, "html.parser") # 创建一个目录来保存下载的图片 download_dir = os.path.join(os.getcwd(), 'download_images') # 创建保存图片的文件夹 os.makedirs(download_dir, exist_ok=True) # 获取图片链接 image_links = [] img_tags = soup.find_all('img') for img_tag in img_tags: # 获取图片的 URL img_url = img_tag.get('src') if img_url: if img_url.startswith("http"): image_links.append(img_url) else: # 将相对路径转换为绝对路径 img_url = urljoin(url, img_url) image_links.append(img_url) # 下载图片并保存到文件夹 for i, image_link in enumerate(image_links): img_response = requests.get(image_link, headers=headers) if img_response.status_code == 200: # 提取图片文件名 img_filename = os.path.basename(urlparse(image_link).path) # 保存图片到本地 with open(os.path.join(download_dir, img_filename), 'wb') as img_file: img_file.write(img_response.content) print(f"Downloaded: {img_filename}") else: print(f"Failed to download image from: {img_url}") if __name__ == "__main__": # url = input("Enter the URL to scrape images from: ") url = "http://www.vipsoft.com.cn" download_images(url)
