Python网络爬虫获取Wallhaven壁纸图片(源码)

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话不多说，直接附源码，可运行！

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import requests
from lxml import etree
from fake_useragent import UserAgent
import timeclass wallhaven(object):def __init__(self):# yellow# self.url = "https://wallhaven.cc/search?colors=cc6633&page={}"# girlself.url = "https://wallhaven.cc/search?q=girl&categories=111&purity=110&sorting=date_added&order=desc&ai_art_filter=0&page={}"ua = UserAgent()for i in range(1, 50):self.headers = {'User-Agent': ua.random,}def get_page(self, url):res = requests.get(url=url, headers=self.headers)html = res.content.decode("utf-8")return htmldef parse_page(self, html):parse_html = etree.HTML(html)image_src_list = parse_html.xpath('//figure//a/@href')print("当前图片Url列表:", image_src_list)for image_src in image_src_list:html1 = self.get_page(image_src)  # 二级页面发生请求parse_html1 = etree.HTML(html1)filename = parse_html1.xpath('//div[@class="scrollbox"]//img/@src')if filename is None:continuefor img in filename:dirname = "./images/other/" + img[32:]html2 = requests.get(url=img, headers=self.headers).contentwith open(dirname, 'wb') as f:f.write(html2)print(f"图片{filename}下载成功：")def main(self):startPage = 12endPage = 99for page in range(startPage, endPage + 1):print("获取当前页面图片，页码：", page)url = self.url.format(page)html = self.get_page(url)self.parse_page(html)time.sleep(1.4)if __name__ == '__main__':imageSpider = wallhaven()imageSpider.main()