某网站的图片:
通过“https://photo.fengniao.com/#p=4”(人像)进入某一主题。
显示的是几十张缩略的小图片以及相应的跳转地址,点击小图片后获取大图片。
想获取小图片背后的大图片,如果通过串行方法依次访问大图链接后保存,会非常耗时。
1,使用多线程获取图片
import requests
from lxml import etree
from concurrent.futures import ThreadPoolExecutor
from functools import partial
def get_paths(path, regex, code):
"""
:param path: 网页
:param regex: 解析规则
:param code: 编码
:return: 根据解析规则,解析网页后返回内容列表
"""
resp = requests.get(path)
if resp.status_code == 200:
content = resp.content.decode(code)
select = etree.HTML(content)
paths = select.xpath(regex)
return paths
def save_pic(path, pic_name, directory):
"""
:param pic_name: 保存的图片名称
:param path: 图片的地址
:param directory: 保存的图片目录
"""
resp = requests.get(path, stream=True)
if resp.status_code == 200:
with open(‘{}/{}.jpg‘.format(directory, pic_name), ‘wb‘) as f:
f.write(resp.content)
if __name__ == ‘__main__‘:
paths = get_paths(‘https://photo.fengniao.com/#p=4‘, ‘//a[@class="pic"]/@href‘, ‘utf-8‘)
paths = [‘https://photo.fengniao.com/‘ + p for p in paths]
# 获取所有大图片路径
p = partial(get_paths, regex=‘//img[@class="picBig"]/@src‘, code=‘utf-8‘) # 冻结规则和编码
with ThreadPoolExecutor() as excutor:
res = excutor.map(p, paths)
big_paths = [i[0] for i in res] # 拿到所有图片的路径
# 保存图片
p = partial(save_pic, directory=‘fn_pics‘) # 冻结保存目录
with ThreadPoolExecutor() as excutor:
res = excutor.map(p, range(len(big_paths)), big_paths)
[r for r in res] # res是个迭代器,需要遍历触发
原文:https://www.cnblogs.com/guxh/p/10351655.html