爬取一款Mac下的小清新壁纸神器超清唯美壁纸

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# 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)

    
    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"}
    # 获取图片链接列表数据，json格式
    respond = requests.get(url, headers=headers)
    # 对json格式转化为python对象
    photo_data = json.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(若存在则不用重新创建)
        if not os.path.exists('./' + str(type_id)):
            os.makedirs('./' + str(type_id))

        # 准备下载的图片链接，5K超清壁纸链接
        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)
        
        # 已经下载的图片数量加1
        now_photo_count = now_photo_count + 1

根据不同类型的壁纸，创建不同的文件夹编号进行分类。
上面的Down_load()函数是下载文件的意思，调用requests库，具体代码如下：

# 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(requests.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 = filetype.guess(file_full_name)
    os.rename(file_full_name, file_full_name + '.' + file_type.extension)

chunk_size指的是单次请求的最大值，content_size指的就是我们下载5K超清壁纸的大小，为了能够直观显示下载情况，所以添加了下载进度条的显示效果。核心代码为file.write(data)。
下载完毕后，为了方便我们查看文件，所以需要给图片添加对应的扩展名，比如jpg,png,gif，这里使用到filetype库对文件进行解析，判断其类型。
最后，开始在main中爬取5K高清壁纸：

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100张
    print("程序已经开始运行,请稍等……")
    crawler_photo(1, 100)
    crawler_photo(2, 100)
    crawler_photo(3, 100)
    crawler_photo(4, 100)

# -*- 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!')