Python爬取 | 唯美女生图片

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Python爬取 | 唯美女生图片

from selenium import webdriver
from fake_useragent import UserAgent
from pyquery import PyQuery as pq
import winreg
from time import sleep
import time
import requests
import re
import os


header = {
    'User-Agent': UserAgent().random
}

'''
获取单个id的HTML代码并解析，返回id的分类、名字、包含图片链接的list
'''


def html_id(id_url):
    r = requests.get(id_url, headers=header)
    time.sleep(0.3)
    doc = pq(r.text)
    classical = doc('.d-md-inline-block').eq(0).children('a').text() # 获取id的分类
    if len(classical) != 0: # 判断id的分类是否获取成功，即判断该id的源码是否获取成功
        name = doc('.post-title').text() # id 名字
        lists = doc('.nc-light-gallery a').items() # id的图片所在标签
        links = ['https:' + i.attr('href') for i in lists if '.' in i.attr('href')] # 解析标签，获取图片链接
        if len(links) == 0: # 几年前的id,图片所在的标签与前面的不同，所以需要重新解析
            lists = doc('.nc-light-gallery img').items()
            links = ['https:' + i.attr('src') for i in lists if '.' in i.attr('src')]
        return [classical, name, links]
    else: # id 对应链接源码获取失败
        d = id_url.split('/')[-1].split('.')[0] # 获取为成功获取源码的id
        print(f'{d} 获取失败，等待下一次循环')
        return 0


'''
下载图片
'''


def download(id, con, path, path3):
    num = 1  # 用于下载的图片计数
    classical = con[0] # id 分类
    name = con[1] # id 名字
    links = con[2] # id 所含图片链接
    print(f'{id} {classical} {name} 下载中...', end=' ')
    img_path = path + '\\' + classical # 创建对应分类的文件夹
    if not os.path.exists(img_path): # 判断文件夹是否创建
        os.mkdir(img_path)
    print(f'共{len(links)}张 ——> ', end='')
    for j in links: # 遍历列表，下载
        names = img_path + '\\' + name + str(num) + os.path.splitext(j)[1] # 文件名变量
        if 't.cdn.ink' not in j: # 判断图片链接是否规范，后面有些图片的链接是不规范的
            j = j[:6] + '//t.cdn.ink/' + j[6:]
        try:
            with open(names, 'wb') as f: # 下载
                f.write(requests.get(j, headers=header).content)
            print(f'{num} ', end='')
        except Exception as e:
            print(f'\n第{num}张下载错误，错误来自：{e} ')
        num = num + 1  # 计数
    # 将下载过的ID写入id_haven.txt 文件中
    with open(path3, 'a+', encoding='utf-8') as f:
        s = classical + ',' + name + ',' + id + '\n'
        f.write(s)
        print('下载完成！！！')


'''
从TXT文件里获取ID，并返回列表
'''


def txt_id(path):
    if 'haven' in path: # 从id_haven.txt TXT文件里获取已下载的ID
        id_haven = []
        if os.path.exists(path):
            with open(path, 'r', encoding="ISO-8859-1") as f:
                a = f.readlines()
            for i in a:
                id_haven.append(i.split(',')[-1].strip())
        return id_haven
    else:
        with open(path, 'r') as f: # 从id_all.txt 和 id_not.txt TXT文件里获取已下载的ID
            id_all = f.readlines()
        id_all = [int(i.rstrip()) for i in id_all]
        id_all.sort(reverse=True) # 排序
        id_all = [str(i) for i in id_all]
        return id_all


'''
保存html页面源代码，并获取html里的所有id
'''


def get_id(html, path):
    # 保存HTML源代码
    path_html = path + r'\html源代码'  # 源代码保存路径
    if not os.path.exists(path_html): # 创建路径文件夹
        os.mkdir(path_html)
    with open(path_html + r'\vm_girls.html', 'w', encoding='utf-8') as f: # 写入vm_girls.html文件中
        f.write(html)

    # 开始解析源代码里的id
    doc = pq(html)
    a_html = doc('.media-3x2 a') # 解析的id存在于每个a标签的href属性里，所有的属性值解析到一个列表里
    ids = []
    for i in a_html:
        url = pq(i).attr('href')
        id = re.search('\d+', url.split('/')[-1]).group() # 用正则表达式读取id
        ids.append(int(id))
    ids.sort() # 将id从小到大排序
    ids = [str(i) for i in ids]
    with open(path + r'\ID_all.txt', 'w') as f:
        f.write('\n'.join(ids))
    with open(path + r'\ID_not.txt', 'w') as f:
        f.write('\n'.join(ids))


'''
获取加载页面全部源代码
'''


def get_html(url, chromedriver_path):
    wb = webdriver.Chrome(executable_path=chromedriver_path)
    wb.implicitly_wait(5)
    wb.get(url)
    start_time = time.time()
    # wb.find_element_by_class_name('nwmb-vdprs-close').click() #用于初次加载界面时弹出的广告框
    flag = True     # 如果等得不耐烦，任意按下键盘的一个按键，即可加载终止，开始后面的程序
    wb.execute_script('''
        document.body.addEventListener("keypress", function(){ document.getElementsByClassName('dposts-ajax-load')[0].innerText='加载终止'; });
        ''')
    while flag:
        try:
            end = wb.find_element_by_class_name('dposts-ajax-load').text
            if end in ['没有更多内容', '加载终止']:
                print(end)
                flag = False
            else:
                wb.find_element_by_class_name('dposts-ajax-load').click()
        except:
            sleep(1)
        finally:
            wb.execute_script("window.scrollTo(0, document.body.scrollHeight-1532)")  # 这里的1532，可能需要对于不同窗口的电脑，做适度调整
    html = wb.page_source
    print(wb.title)
    wb.quit()
    end_time = time.time()
    times = end_time - start_time
    print(f'加载内容总耗时{times // 60:.0f}分{times % 60:.2f}秒！')
    return html


'''
获取当前电脑桌面路径
'''


def get_desktop():
    key = winreg.OpenKey(winreg.HKEY_CURRENT_USER,
                         r'Software\Microsoft\Windows\CurrentVersion\Explorer\Shell Folders') # 利用系统的链表
    zm = winreg.QueryValueEx(key, "Desktop")[0] # 获取的是Unicode类型数据
    return str(zm) # Unicode转化为str并返回


def main():
    url = 'https://www.vmgirls.com/'  # url链接
    path = get_desktop() + r'\vmGirls'
    if not os.path.exists(path): # 创建路径文件夹
        os.mkdir(path)
    chromedriver_path = get_desktop() + r'\chromedriver.exe'  # 浏览器驱动器路径
    judge = True
    if os.path.exists(path + r'\html源代码\vm_girls.html'):
        judge = input('html源代码已存在，是否需要重新加载：')
        if judge == '否':
            judge = False
        else:
            judge = True
    if judge:
        html = get_html(url, chromedriver_path) # 自动获取html源代码
        get_id(html, path) # 保存源代码并解析源代码里的所有id

    path1 = path + '\\ID_all.txt'  # 保存解析的所有id
    path2 = path + '\\ID_not.txt'  # 保存未下载的所有id
    path3 = path + '\\ID_haven.txt'  # 保存已下载的所有id

    # 全ID自动遍历下载
    id_not = txt_id(path2)
    id_haven = txt_id(path3)
    cycle = 0  # 计循环次数
    start_time = time.time()
    while len(id_not) > 5:
        cycle += 1
        id_all_1 = txt_id(path1)
        id_all_2 = txt_id(path1)
        for i in set(id_haven): # 在存在列表里检查ID是否已存在
            id_all_1.remove(i)
        for i in id_all_1: # 下载未下载的ID
            id_url = url + i + '.html'
            con = html_id(id_url)
            if con: # 判断此id的HTML界面是否获取成功
                download(i, con, path, path3)
        all_haven = txt_id(path3)
        remain = len(id_all_2) - len(all_haven)
        print(f'第{cycle}次循环，还剩下{remain}个ID未下载！')
        for i in set(all_haven): # 在存在列表里检查ID是否已存在
            id_all_2.remove(i)
        with open(path2, 'w') as f: # 未下载的ID存入id_not.txt文件
            f.write('\n'.join(id_all_2))
        time.sleep(2)
    else:
        print('结束')
    end_time = time.time()
    times = end_time - start_time
    print(f'下载总耗时{times // 60:.0f}分{times % 60:.2f}秒！')


if __name__ == '__main__':
    main()

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