宝马5系图片分类下载自动创建文件夹并保存

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import os
import requests
from lxml import etree
from urllib import request


headers = {
  'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
  'Accept-Language': 'en',
  'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.88 Safari/537.36'
}

def parse(url):
    """解析网页，提取数据封装为列表返回"""
    page_source = requests.get(url,headers=headers).text
    html = etree.HTML(page_source)

    uiboxs = html.xpath("//div[@class='uibox']")[1:]
    items = []
    for uibox in uiboxs:
        category = uibox.xpath("./div[@class='uibox-title']/a/text()")[0]
        img_urls = uibox.xpath(".//li//img/@src")
        img_urls = list(map(lambda url : "https:"+url, img_urls))#将map对象转换成list对象# for img_url in img_urls:#     img_url = "https"+img_url
        
        item = {'category':category, 'img_urls': img_urls}#将数据封装为字典加入列表并返回
        items.append(item)
    return items

def pipeline(url):
    """自动创建分类文件夹保存图片"""
    abspath = os.path.dirname(__file__)#获取当前文件所在的父路径
    imgpath = os.path.join(abspath,"images")#拼接当前路径
    
    if not os.path.exists(imgpath):#不存在则创建
        os.mkdir(imgpath)
        
    for item in parse(url):
        category = item['category']
        img_urls = item['img_urls']
    
        category_path = os.path.join(imgpath, category)#分类列表不存在则创建
        if not os.path.exists(category_path):
            os.mkdir(category_path)
            
        for img_url in img_urls:
            img_name = img_url.split('_')[-1]
            savepath = os.path.join(category_path, img_name)
            request.urlretrieve(img_url, savepath)
            print(img_name, "下载完成")


if __name__ == "__main__":
    url = "https://car.autohome.com.cn/pic/series/65.html#pvareaid=3454507"
    pipeline(url)

宝马5系图片分类下载自动创建文件夹并保存

标签：python   safari   parse   ret   lan   获取   apple   ems   page   

原文地址：https://www.cnblogs.com/zxfei/p/12148817.html