python实现爬取图书封面

这篇文章主要为大家详细介绍了python实现爬取图书封面的方法,具有一定的参考价值,感兴趣的小伙伴们可以参考一下

本文实例为大家分享了python实现爬取图书封面的具体代码,供大家参考,具体内容如下

kongfuzi.py

利用更换代理ip,延迟提交数据,设置请求头破解网站的反爬虫机制

 import requests import random import time class DownLoad(): def __init__(self): self.ip_list = ['191.33.179.242:8080', '122.72.108.53:80', '93.190.142.214:80', '189.8.88.125:65301', '36.66.55.181:8080', '170.84.102.5:8080', '177.200.72.214:20183', '115.229.115.190:9000'] self.user_agent_list = [ 'User-Agent:Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50', 'User-Agent:Mozilla/5.0 (Windows; U; Windows NT 6.1; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50', 'User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_0) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11' ] def get(self, url, proxy=None, timeout=20, num=5): print("正在请求%s" % url) UA = random.choice(self.user_agent_list) headers = {'User-Agent': UA} if proxy == None: try: return requests.get(url, headers=headers, timeout=timeout) except: if num > 0: time.sleep(10) return self.get(url, num=num - 1) else: time.sleep(10) IP = ''.join(random.choice(self.ip_list).strip()) proxy = {'http': IP} return self.get(url, proxy=proxy, timeout=timeout) else: try: IP = ''.join(random.choice(self.ip_list).strip()) proxy = {'http': IP} return requests.get(url, headers=headers, proxy=proxy, timeout=timeout) except: if num > 0: time.sleep(10) IP = ''.join(random.choice(self.ip_list).strip()) proxy = {'http': IP} print("正在更换代理") print("当前代理%s" % proxy) return self.get(url, proxy=proxy, num=num - 1)

main.py

将爬取的图片保存到本地,然后展示到界面

 import kongfuzi import os import requests import bs4 from tkinter import * from PIL import Image, ImageTk # 下载图片,生成图片地址列表和图书信息列表 def download(): baseUrl = "http://search.kongfz.com" keyword = e1.get() url = baseUrl + "/product_result/?select=0&key=" + keyword print("下载链接:" + url) show(url) # bs4处理 def changesoup(html): htm = html.content html_doc = str(htm, 'utf-8') soup = bs4.BeautifulSoup(html_doc, "html.parser") return soup # 图书信息集合 def bookinfo(soup): # 图书价格列表 price = [] soupprice = soup.select(".first-info .f_right .bold") for i in soupprice: price.append(i.string) # 书店名列表 storename = [] soupstorename = soup.select(".text a span") for each in soupstorename: if each.string == None: soupstorename.remove(each) for i in soupstorename: storename.append(i.string) # 商家地区列表 place = [] soupplace = soup.select(".user-place") for i in soupplace: place.append(i.string) # 书名列表 bookname = [] bookname1 = soup.select( ".search-wrap .search-main .search-main-result .result-content .result-list .item .item-info .title .link") # print(len(bookname1)) # print(bookname1) for each in bookname1: print(each) # a = bs4.BeautifulSoup(each, "html.parser") a = each.get_text() print(a) # type(a) # a = bs4.BeautifulSoup(a, "html.parser") # b = a.get_text() bookname.append(a) # print(bookname) # print(len(bookname)) return bookname, price, place, storename # 保存图片 def imgsave(soup): dirName = "image" os.makedirs(dirName, exist_ok=True) filePathList = [] imgUrl = soup.select(".search-main-result .result-content .result-list .item .item-img .img-box img") # print(imgUrl) if not imgUrl: print("没有找到当前节点下图片") else: i = 0 for imageUrls in imgUrl: # 找到图片地址 获取它 downloadUrl = imageUrls.get('src') # if downloadUrl == "/searchfront/img/error.jpg-600": #   downloadUrl = "http://book.kongfz.com/img/pc/error.jpg-600" print("打印要下载的图片地址:", downloadUrl) #   http://book.kongfz.com/img/pc/error.jpg-600 # 分割字符 split = downloadUrl.split("/") # 只保留最后一个元素 fileName = str(i) + "-" + os.path.basename(split[len(split) - 1]) print("文件名:" + fileName) # 建立一个新路径 filePath = os.path.join(dirName, fileName) filePathList.append(filePath) if not os.path.exists(filePath): imageUrlPath = requests.get(downloadUrl) # 检查当前网络是否请求成功 imageUrlPath.raise_for_status() # 'wb'二进制模式打开img适用 imageFile = open(filePath, 'wb') for image in imageUrlPath.iter_content(10000): # 把每次遍历的文件图像都存储进文件夹中 imageFile.write(image) # 关闭文件 imageFile.close() i = i + 1 return filePathList # 图片展示 def show(url): xz = kongfuzi.DownLoad() html = xz.get(url) # 添加代理ip到ip_list add_ip = e2.get() xz.ip_list.append(add_ip) soup = changesoup(html) bookname, price, place, storename = bookinfo(soup) # print(bookname) # print(price) # print(place) # print(storename) filePathList = imgsave(soup) root1 = Toplevel() root1.geometry("1720x800") root1.title("孔网图片爬取") # 处理图片,转换成可以显示 photo = [] temp = [] for each in filePathList: temp = Image.open(each) photo.append(ImageTk.PhotoImage(temp)) canvas = Canvas(root1, width=1700, height=800, scrollregion=(0, 0, 0, 4000)) # 创建canvas canvas.place(x=10, y=10) # 放置canvas的位置 frame = Frame(canvas) # 把frame放在canvas里 frame.place(width=1680, height=800) for i in range(50): # 图片行列 rownum = int(i / 5) columnnum = i % 5 # photo = ImageTk.PhotoImage(Image.open(filePathList[i])) imgLabel1 = Label(frame, image=photo[i], width=280, height=280) imgLabel1.grid(row=rownum * 5, column=columnnum, padx=10, pady=5) infoLabel1 = Label(frame, text="书名:" + bookname[i], bg="#FFF8DC", justify=LEFT) infoLabel1.grid(row=rownum * 5 + 1, column=columnnum, padx=45, pady=2, sticky=W) infoLabel2 = Label(frame, text="价格:" + price[i] + "元", bg="#FFF8DC", justify=LEFT) infoLabel2.grid(row=rownum * 5 + 2, column=columnnum, padx=45, pady=2, sticky=W) infoLabel3 = Label(frame, text="发货地区:" + place[i], bg="#FFF8DC", justify=LEFT) infoLabel3.grid(row=rownum * 5 + 3, column=columnnum, padx=45, pady=2, sticky=W) infoLabel4 = Label(frame, text="书店:" + storename[i], bg="#FFF8DC", justify=LEFT) infoLabel4.grid(row=rownum * 5 + 4, column=columnnum, padx=45, pady=2, sticky=W) vbar = Scrollbar(canvas, orient=VERTICAL) # 竖直滚动条 vbar.place(x=1680, width=20, height=800) vbar.configure(command=canvas.yview) canvas.config(yscrollcommand=vbar.set) # 设置 canvas.create_window((800, 2000), window=frame) mainloop() if __name__ == '__main__': # 界面 root = Tk() root.title("孔网图片爬取") e1 = Entry(root) e2 = Entry(root) e1.grid(row=0, column=0, padx=20, pady=20) e2.grid(row=0, column=2, padx=20, pady=20) label1 = Label(root, text="关键字", width=10).grid(row=0, column=1, padx=10, pady=5) label2 = Label(root, text="添加代理ip", width=10).grid(row=0, column=3, padx=10, pady=5) btn1 = Button(root, text="搜索", width=10, command=download).grid(row=1, column=1, padx=10, pady=5) # print(e1.get()) mainloop()

以上就是python实现爬取图书封面的详细内容,更多请关注0133技术站其它相关文章!

赞(0) 打赏
未经允许不得转载:0133技术站首页 » python