1、引入html
這段時間一直在學習Python的東西,之前就據說Python爬蟲多厲害,正好如今學到這裏,跟着小甲魚的Python視頻寫了一個爬蟲程序,能實現簡單的網頁圖片下載。算法
2、代碼dom
__author__ = "JentZhang" import urllib.request import os import random import re def url_open(url): ''' 打開網頁 :param url: :return: ''' req = urllib.request.Request(url) req.add_header('User-Agent', 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/49.0.2623.75 Safari/537.36') # 應用代理 ''' proxyies = ["111.155.116.237:8123","101.236.23.202:8866","122.114.31.177:808"] proxy = random.choice(proxyies) proxy_support = urllib.request.ProxyHandler({"http": proxy}) opener = urllib.request.build_opener(proxy_support) urllib.request.install_opener(opener) ''' response = urllib.request.urlopen(url) html = response.read() return html def save_img(folder, img_addrs): ''' 保存圖片 :param folder: 要保存的文件夾 :param img_addrs: 圖片地址(列表) :return: ''' # 建立文件夾用來存放圖片 if not os.path.exists(folder): os.mkdir(folder) os.chdir(folder) for each in img_addrs: filename = each.split('/')[-1] try: with open(filename, 'wb') as f: img = url_open("http:" + each) f.write(img) except urllib.error.HTTPError as e: # print(e.reason) pass print('完畢!') def find_imgs(url): ''' 獲取所有的圖片連接 :param url: 鏈接地址 :return: 圖片地址的列表 ''' html = url_open(url).decode("utf-8") img_addrs = re.findall(r'src="(.+?\.gif)', html) return img_addrs def get_page(url): ''' 獲取當前一共有多少頁的圖片 :param url: 網頁地址 :return: ''' html = url_open(url).decode('utf-8') a = html.find("current-comment-page") + 23 b = html.find("]</span>", a) return html[a:b] def download_mm(url="http://jandan.net/ooxx/", folder="OOXX", pages=1): ''' 主程序(下載圖片) :param folder:默認存放的文件夾 :param pages: 下載的頁數 :return: ''' page_num = int(get_page(url)) for i in range(pages): page_num -= i page_url = url + "page-" + str(page_num) + "#comments" img_addrs = find_imgs(page_url) save_img(folder, img_addrs) if __name__ == "__main__": download_mm()
3、總結學習
因爲代碼中訪問的網址已經運用了反爬蟲的算法。因此已經爬不到想要的圖片啦,so,就當是記了個爬蟲的筆記吧。僅供學習參考[捂臉]。。。。ui
最後:我把jpg格式換成gif,還能爬到可憐的一張gif圖:url
第一張正是反爬蟲機制的一個圖片佔位符,徹底沒有任何內容spa