这篇文章将为大家详细讲解有关Python轻松爬取写真网站全部图片,小编觉得挺实用的,因此分享给大家做个参考,希望大家阅读完这篇文章后可以有所收获。
准备工作
- 安装Python 3.x及必要库(如requests和BeautifulSoup)
- 获取目标写真网站的URL
步骤 1:使用requests获取HTML
import requests
url = "https://example.com/photos"
response = requests.get(url)
步骤 2:使用BeautifulSoup解析HTML
from bs4 import BeautifulSoup
soup = BeautifulSoup(response.text, "html.parser")
步骤 3:获取所有图像链接
image_links = []
for img in soup.find_all("img"):
link = img.get("src")
image_links.append(link)
步骤 4:保存图像
import os
if not os.path.exists("photos"):
os.makedirs("photos")
for link in image_links:
image_name = link.split("/")[-1]
with open(f"photos/{image_name}", "wb") as f:
f.write(requests.get(link).content)
高级用法
多线程下载
import threading
def download_image(link):
image_name = link.split("/")[-1]
with open(f"photos/{image_name}", "wb") as f:
f.write(requests.get(link).content)
threads = []
for link in image_links:
thread = threading.Thread(target=download_image, args=(link,))
thread.start()
threads.append(thread)
for thread in threads:
thread.join()
过滤特定图像大小
import re
desired_width = 1280
desired_height = 720
filtered_image_links = []
for link in image_links:
if re.search(f"_{desired_width}x{desired_height}.", link):
filtered_image_links.append(link)
处理分页
next_page_link = soup.find("a", text="Next")
while next_page_link:
response = requests.get(next_page_link.get("href"))
soup = BeautifulSoup(response.text, "html.parser")
for img in soup.find_all("img"):
link = img.get("src")
image_links.append(link)
next_page_link = soup.find("a", text="Next")
注意事项
- 确保遵守网站的服务条款和使用规则。
- 尊重版权并仅下载用于个人用途的图像。
- 使用代理或VPN来绕过任何地理限制(如适用)。
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