python爬虫 爬取超清壁纸代码实例

'''在学习过程中有什么不懂得可以加我的python学习交流扣扣qun，934109170群里有不错的学习教程、开发工具与电子书籍。与你分享python企业当下人才需求及怎么从零基础学习好python，和学习什么内容。'''# -*- coding:utf-8 -*- from requests import getfrom filetype import guessfrom os import renamefrom os import makedirsfrom os.path import existsfrom json import loadsfrom contextlib import closing # 文件下载器def Down_load(file_url, file_full_name, now_photo_count, all_photo_count):  headers = {"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36"}   # 开始下载图片  with closing(get(file_url, headers=headers, stream=True)) as response:    chunk_size = 1024 # 单次请求最大值    content_size = int(response.headers['content-length']) # 文件总大小    data_count = 0 # 当前已传输的大小    with open(file_full_name, "wb") as file:      for data in response.iter_content(chunk_size=chunk_size):        file.write(data)        done_block = int((data_count / content_size) * 50)        data_count = data_count + len(data)        now_jd = (data_count / content_size) * 100        print("/r %s：[%s%s] %d%% %d/%d" % (file_full_name, done_block * '', ' ' * (50 - 1 - done_block), now_jd, now_photo_count, all_photo_count), end=" ")  # 下载完图片后获取图片扩展名，并为其增加扩展名  file_type = guess(file_full_name)  rename(file_full_name, file_full_name + '.' + file_type.extension)  # 爬取不同类型图片def crawler_photo(type_id, photo_count):   # 最新 1, 最热 2, 女生 3, 星空 4  if(type_id == 1):    url = 'https://service.paper.meiyuan.in/api/v2/columns/flow/5c68ffb9463b7fbfe72b0db0?page=1&per_page=' + str(photo_count)  elif(type_id == 2):    url = 'https://service.paper.meiyuan.in/api/v2/columns/flow/5c69251c9b1c011c41bb97be?page=1&per_page=' + str(photo_count)  elif(type_id == 3):    url = 'https://service.paper.meiyuan.in/api/v2/columns/flow/5c81087e6aee28c541eefc26?page=1&per_page=' + str(photo_count)  elif(type_id == 4):    url = 'https://service.paper.meiyuan.in/api/v2/columns/flow/5c81f64c96fad8fe211f5367?page=1&per_page=' + str(photo_count)   # 获取图片列表数据  headers = {"User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36"}  respond = get(url, headers=headers)  photo_data = loads(respond.content)  # 已经下载的图片张数  now_photo_count = 1   # 所有图片张数  all_photo_count = len(photo_data)  # 开始下载并保存5K分辨率壁纸  for photo in photo_data:    # 创建一个文件夹存放我们下载的图片    if not exists('./' + str(type_id)):      makedirs('./' + str(type_id))    # 准备下载的图片链接    file_url = photo['urls']['raw']     # 准备下载的图片名称,不包含扩展名    file_name_only = file_url.split('/')    file_name_only = file_name_only[len(file_name_only) -1]     # 准备保存到本地的完整路径    file_full_name = './' + str(type_id) + '/' + file_name_only     # 开始下载图片    Down_load(file_url, file_full_name, now_photo_count, all_photo_count)    now_photo_count = now_photo_count + 1  if __name__ == '__main__':   # 最新 1, 最热 2, 女生 3, 星空 4  # 爬取类型为3的图片(女生),一共准备爬取20000张  wall_paper_id = 1  wall_paper_count = 10  while(True):    # 换行符    print('/n/n')     # 选择壁纸类型    wall_paper_id = input("壁纸类型：最新壁纸 1, 最热壁纸 2, 女生壁纸 3, 星空壁纸 4/n请输入编号以便选择5K超清壁纸类型：")    # 判断输入是否正确    while(wall_paper_id != str(1) and wall_paper_id != str(2) and wall_paper_id != str(3) and wall_paper_id != str(4)):      wall_paper_id = input("壁纸类型：最新壁纸 1, 最热壁纸 2, 女生壁纸 3, 星空壁纸 4/n请输入编号以便选择5K超清壁纸类型：")    # 选择要下载的壁纸数量    wall_paper_count = input("请输入要下载的5K超清壁纸的数量：")    # 判断输入是否正确    while(int(wall_paper_count) <= 0):      wall_paper_count = input("请输入要下载的5K超清壁纸的数量：")     # 开始爬取5K高清壁纸    print("正在下载5K超清壁纸，请稍等……")    crawler_photo(int(wall_paper_id), int(wall_paper_count))    print('/n下载5K高清壁纸成功!')