–– coding:utf-8 ––

from requests import get
from filetype import guess
from os import rename
from os import makedirs
from os.path import exists
from json import loads
from 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  # 单次申请最大值
    content_size = int(response.headers['content-length'])  # 文件总大小
    data_count = 0 # 以后已传输的大小
    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，并为其减少扩展名
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, [Skrill 下载](https://www.gendan5.com/wallet/Skrill.html) 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)
# 曾经下载的图片张数
now_photo_count = 1
# 所有图片张数
all_photo_count = len(photo_data)
# 开始下载并保留 5K 分辨率壁纸
for photo in photo_data:
    # 创立一个文件夹寄存咱们下载的图片
    if not exists('./' + str(type_id)):
        makedirs('./' + str(type_id))
    # 筹备下载的图片链接
    file_url = photo['urls']['raw']
    # 筹备下载的图片名称, 不蕴含扩展名
    file_name_only = file_url.split('/')
    file_name_only = file_name_only[len(file_name_only) -1]
    # 筹备保留到本地的残缺门路
    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), 一共筹备爬取 20000 张
wall_paper_id = 1
wall_paper_count = 10
while(True):
    # 换行符
    print('\n\n')
    # 抉择壁纸类型
    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 请输出编号以便抉择 5K 超清壁纸类型：")
    # 判断输出是否正确
    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 请输出编号以便抉择 5K 超清壁纸类型：# 抉择要下载的壁纸数量
    wall_paper_count = input("请输出要下载的 5K 超清壁纸的数量：")
    # 判断输出是否正确
    while(int(wall_paper_count) <= 0):
        wall_paper_count = input("请输出要下载的 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 高清壁纸胜利!')