Python轻松爬取写真网站全部图片

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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("class="lazy" data-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("class="lazy" data-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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