• 利用python脚本(re)抓取美空mm图片


    很久没有写博客了,这段时间一直在搞风控的东西,过段时间我把风控的内容整理整理发出来大家一起研究研究。

    这两天抽空写了两个python爬虫脚本,一个使用re,一个使用xpath。

    直接上代码——基于re:

    spider.py

    # -*- coding:utf-8 -*-
    
    import urllib.request
    import re
    import tool
    import os
    import http.cookiejar
    
    
    # 抓取MOKO_MM
    class Spider:
        # 页面初始化
        def __init__(self):
            self.siteURL = 'http://www.moko.cc/focus|list.action'
            self.tool = tool.Tool()
    
        # 获取索引页面的内容
        def getPage(self, pageIndex):
            url = self.siteURL + "?type=4&curPage=" + str(pageIndex)
            request = urllib.request.Request(url)
            response = urllib.request.urlopen(request)
            return response.read().decode('utf-8')
    
        # 获取索引界面所有MM的信息,list格式
        def getContents(self, pageIndex):
            page = self.getPage(pageIndex)
            pattern = re.compile(
                '<div class="subMainContent".*?<a href="(.*?)".*?subFocus-07.*?<img src="(.*?)".*?subFocus-08.*?<h1>(.*?)</h1>',
                re.S)
            items = re.findall(pattern, page)
            # item[0]   详情页链接
            # item[1]   缩略图
            # item[2]   标题
            contents = []
            for item in items:
                contents.append([item[0], item[1], item[2].replace(" ", "-").replace("|", "-").replace(".", "-").replace(":", "-")])
            return contents
    
        # 获取MM个人详情页面
        def getDetailPage(self, infoURL):
            def makeMyOpener(head={
                'accept-encoding': 'deflate, sdch',
                'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
                'Accept-Language': 'zh-CN,zh;q=0.8',
                'Cookie': 'JSESSIONID=58C82905AD36B5DFA8D4F1C98A2559DC; Hm_lvt_8d82e75c6168ba4bc0135a08edae2a2e=1488505496; Hm_lpvt_8d82e75c6168ba4bc0135a08edae2a2e',
                'Referer': 'https://mm.taobao.com/687471686.htm',
                'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:51.0) Gecko/20100101 Firefox/51.0'
            }):
                cookie = http.cookiejar.CookieJar()
                opener = urllib.request.build_opener(urllib.request.HTTPCookieProcessor(cookie))
                header = []
                for key, value in head.items():
                    elem = (key, value)
                    header.append(elem)
                opener.addheaders = header
                return opener
    
            oper = makeMyOpener()
            uop = oper.open(infoURL)
            data = uop.read().decode('utf-8')
            return data
            # response = urllib.request.urlopen(infoURL)
            # return response.read().decode('utf-8')
    
        # 获取个人文字简介
        def getBrief(self, page):
            pattern = re.compile(
                '<div class="infoShow-12".*?<p align="center".*?<strong>(.*?)</strong>.*?<strong>(.*?)</strong>.*?<strong>(.*?)</strong>.*?<strong>(.*?)</strong>',
                re.S)
    
            items = re.findall(pattern, page)
            # item[0]   主页地址
            # item[1]   头像
            # item[2]   姓名
            contents = []
            for item in items:
                contents.append([item[0], item[1], item[2]])
            return contents
    
            # result = re.search(pattern, page)
            # print(result.group())
            # return self.tool.replace(result.group(1))
    
        # 获取页面所有图片
        def getAllImg(self, page):
            pattern = re.compile('<div class="infoShow-12">(.*?)<div class="infoShow-13">', re.S)
            # 个人信息页面所有代码
            content = re.search(pattern, page)
            # 从代码中提取图片
            patternImg = re.compile('<img.*?src="(.*?)"', re.S)
            images = re.findall(patternImg, content.group(1))
            return images
    
        # 保存多张写真图片
        def saveImgs(self, images, name):
            number = 1
            print(u"发现", name, u"共有", len(images), u"张照片")
            for imageURL in images:
                splitPath = imageURL.split('.')
                splitPath = splitPath
                fTail = splitPath.pop()
                if len(fTail) > 3:
                    fTail = "jpg"
                fileName = name + "/" + str(number) + "." + fTail
                self.saveImg(imageURL, fileName)
                number += 1
    
        # 保存头像
        def saveIcon(self, iconURL, name):
            splitPath = iconURL.split('.')
            fTail = splitPath.pop()
            fileName = name + "/icon." + fTail
            self.saveImg(iconURL, fileName)
    
        # 保存个人简介
        def saveBrief(self, content, name):
            fileName = name + "/" + name + ".txt"
            f = open(fileName, "w+")
            print(u"正在保存信息为", fileName)
            # f.write(content.decode('utf-8'))
            f.write(content)
    
        # 保存图片地址页到各文件夹中
        def saveToLocal(self, Li, name):
            fileName = name + "/" + "urlPage.txt"
            print(u"正在保存图片地址页:", fileName)
            # f.write(content.decode('utf-8'))
            # pre=pre.replace("[","")
            # pre=pre.replace("]","")+"
    "
            # print (pre)
            f = open(fileName, "w")
            f.write(Li)
            f.close()
    
            # 追加方式写入当前爬行的名字,后续调用
            content = name + " "
            with open('url.txt', 'a') as url:
                url.write(content)
                url.close()
            print(name + u"追加完成!
    ")
    
        # 传入图片地址,文件名,保存单张图片
        def saveImg(self, imageURL, fileName):
            try:
                u = urllib.request.urlopen(imageURL)
                data = u.read()
                f = open(fileName, 'wb')
                f.write(data)
                print(u"正在保存的一张图片为", fileName)
                f.close()
            except urllib.request.URLError as e:
                print(e.reason)
    
        # 创建新目录
        def mkdir(self, path):
            path = path.strip()
            # 判断路径是否存在
            # 存在     True
            # 不存在   False
            isExists = os.path.exists(path)
            # 判断结果
            if not isExists:
                # 如果不存在则创建目录
                print(u"新建了名字叫做", path, u'的文件夹')
                # 创建目录操作函数
                os.makedirs(path)
                return True
            else:
                # 如果目录存在则不创建,并提示目录已存在
                print(u"名为", path, '的文件夹已经创建成功')
                return False
    
        # 将一页MOKO MM的信息保存起来
        def savePageInfo(self, pageIndex):
            # 获取第一页MOKO MM列表
            contents = self.getContents(pageIndex)
            for item in contents:
                # item[0]个人详情URL,item[1]头像URL,item[2]姓名
                print(u"发现一位名叫", item[2], u"的信息")
                print(u"正在保存", item[2], "的信息")
    
                print(u"个人详情地址是", "http://www.moko.cc" + str(item[0]))
                # 个人详情页面的URL
                detailURL = "http://www.moko.cc" + str(item[0])
                # 得到个人详情页面代码
                detailPage = self.getDetailPage(detailURL)
                # 获取个人简介
                # brief = self.getBrief(detailPage)
                # 获取所有图片列表
                self.mkdir(item[2])
                images = self.getAllImg(detailPage)
                spider.saveImgs(images, item[2])
                # 保存个人简介
                # self.saveBrief(brief.encode('utf-8'), item[2])
                # self.saveBrief(brief, item[2])
                # 保存图片地址页到本地
                # self.saveToLocal(detailPage, item[2])
                # 保存头像
                self.saveIcon("https:" + str(item[1]), item[2])
    
        # 删除旧名单(如果有)
        def deleteOldTxt(self):
            filename = 'url.txt'
            if os.path.exists(filename):
                os.remove(filename)
                print("
    发现旧名单,已删除
    采集开始
    ")
    
        # 传入起止页码,获取MM页面保存
        def savePagesInfo(self, start, end):
            for i in range(start, end + 1):
                print(u"正在寻找第", i, u"个地方")
                self.savePageInfo(i)
                # 保存图片
                # self.saveImgs(images,item[2])
    
        # 读取名字list
        def openNameList(self):
            with open("url.txt", "r") as f:
                for line in f:
                    line = line.strip()
                    # line.split(",")
                    # result.append(line)
                    # result.append(line.split(","))
                # s匹配空格与tab,s+表示至少一个
                result = re.split(r's+', line)
            return result
    
        # 逐个调取文件夹下页面中地址来保存
        def saveAll(self):
            i = spider.openNameList()
            for name in i:
                print("当前正在保存的是" + name + "的图片")
                filepath = name + "/urlPage.txt"
                with open(filepath, "r") as urlContent:
                    urlContent = urlContent.read()
                images = spider.getAllImg(urlContent)
                spider.saveImgs(images, name)
    
    
    # 传入起止页码即可,在此传入了6,10,表示抓取第6到10页的MM
    spider = Spider()
    spider.deleteOldTxt()
    spider.savePagesInfo(1, 10)

    tool.py

    # -*- coding:utf-8 -*-
    import re
    
    # 处理页面标签类
    class Tool:
        # 去除img标签,1-7位空格,
        removeImg = re.compile(r'<img.*?>| {1,7}| ')
        # 删除超链接标签
        removeAddr = re.compile(r'<a.*?>|</a>')
        # 把换行的标签换为
    
        replaceLine = re.compile(r'<tr>|<div>|</div>|</p>')
        # 将表格制表<td>替换为	
        replaceTD = re.compile(r'<td>')
        # 将换行符或双换行符替换为
    
        replaceBR = re.compile(r'<br><br>|<br>')
        # 将其余标签剔除r
        removeExtraTag = re.compile(r'<.*?>')
        # 将多行空行删除
        removeNoneLine = re.compile(r'
    +')
        # 删除
        removeSpace = re.compile(r' ')
    
        def replace(self, x):
            x = re.sub(self.removeImg, "", x)
            x = re.sub(self.removeAddr, "", x)
            x = re.sub(self.replaceLine, "
    ", x)
            x = re.sub(self.replaceTD, "	", x)
            x = re.sub(self.replaceBR, "
    ", x)
            x = re.sub(self.removeExtraTag, "", x)
            x = re.sub(self.removeNoneLine, "
    ", x)
            x = re.sub(self.removeSpace, "", x)
            # strip()将前后多余内容删除
            return x.strip()
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  • 原文地址:https://www.cnblogs.com/hunttown/p/6703777.html
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