多sku对应的市场销量---非多线程

ebay_ebayno.py

import randomfrom http.cookiejar import CookieJarimport requestsfrom bs4 import BeautifulSoupimport csvimport numpy as npimport reimport xlrdfrom my_feedback_ebayno import Feedback_ebaynoclass EbaySpider(object):    def __init__(self):        self.SESSION = requests.session()        self.SESSION.cookies = CookieJar()        # print(self.SESSION.cookies)        self.HEAD = self.randHeader()    def randHeader(self):        head_connection = ['Keep-Alive', 'close']        head_accept = ['text/html, application/xhtml+xml, */*']        head_accept_language = ['zh-CN,fr-FR;q=0.5', 'en-US,en;q=0.8,zh-Hans-CN;q=0.5,zh-Hans;q=0.3']        head_user_agent = ['Mozilla/5.0 (Windows NT 6.3; WOW64; Trident/7.0; rv:11.0) like Gecko',                           'Mozilla/5.0 (Windows NT 5.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/28.0.1500.95 Safari/537.36',                           'Mozilla/5.0 (Windows NT 6.1; WOW64; Trident/7.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; .NET4.0C; rv:11.0) like Gecko)',                           'Mozilla/5.0 (Windows; U; Windows NT 5.2) Gecko/2008070208 Firefox/3.0.1',                           'Mozilla/5.0 (Windows; U; Windows NT 5.1) Gecko/20070309 Firefox/2.0.0.3',                           'Mozilla/5.0 (Windows; U; Windows NT 5.1) Gecko/20070803 Firefox/1.5.0.12',                           'Opera/9.27 (Windows NT 5.2; U; zh-cn)',                           'Mozilla/5.0 (Macintosh; PPC Mac OS X; U; en) Opera 8.0',                           'Opera/8.0 (Macintosh; PPC Mac OS X; U; en)',                           'Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.8.1.12) Gecko/20080219 Firefox/2.0.0.12 Navigator/9.0.0.6',                           'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; Win64; x64; Trident/4.0)',                           'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.1; Trident/4.0)',                           'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; InfoPath.2; .NET4.0C; .NET4.0E)',                           'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Maxthon/4.0.6.2000 Chrome/26.0.1410.43 Safari/537.1 ',                           'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0; SLCC2; .NET CLR 2.0.50727; .NET CLR 3.5.30729; .NET CLR 3.0.30729; Media Center PC 6.0; InfoPath.2; .NET4.0C; .NET4.0E; QQBrowser/7.3.9825.400)',                           'Mozilla/5.0 (Windows NT 6.1; WOW64; rv:21.0) Gecko/20100101 Firefox/21.0 ',                           'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/21.0.1180.92 Safari/537.1 LBBROWSER',                           'Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0; BIDUBrowser 2.x)',                           'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.11 (KHTML, like Gecko) Chrome/20.0.1132.11 TaoBrowser/3.0 Safari/536.11']        header = {            'Connection': head_connection[0],            'Accept': head_accept[0],            'Accept-Language': head_accept_language[1],            'User-Agent': head_user_agent[random.randrange(0, len(head_user_agent))]        }        return header    def getBeautifulSoup(self, query_rl):        r = self.SESSION.get(url=query_rl, headers=self.HEAD)        # print(self.SESSION.cookies)        soup = BeautifulSoup(r.text, 'html.parser')        return soup    def getRates(self, query_url):        r = self.SESSION.get(url=query_url, headers=self.HEAD)        # print(self.SESSION.cookies)        soup = BeautifulSoup(r.text, 'html.parser')        content = soup.find("span", "rcnt")        str(content.string).replace(",","")        itemSize = int(str(content.string).replace(",",""))        print("初次查询：" + str(itemSize) + "项")        #获取第一个ebayno，将收货地址更改        itm = soup.find("div", "lvpic pic img left")['iid']        print("设置shippingandpayments为美国US")        getrates_url = "http://www.ebay.com/itm/getrates?item=" + itm + "&country=1&co=0&cb=jQuery1705349737076189762_1501724760425"        r = self.SESSION.get(url=getrates_url, headers=self.HEAD) #发请求，保存cookie    #从ebay上抓取关键字搜索到的相关的ebayno,ebayprice,将ebayno ebayprice数组返回    def search(self, serchWords):        serchWords = str(serchWords).replace(" ", "%20")        # _ipg=100每页100 ，        query_rl = "https://www.ebay.com/sch/i.html?_from=R40&_sacat=0&_ipg=100&rt=nc&_nkw=" + serchWords + "&_pgn=1&_skc=0"        self.getRates(query_url=query_rl) #默认情况是china收货地址,搜索的结果条数少，将收货地址改为US，搜索条数全        soup = self.getBeautifulSoup(query_rl)        content = soup.find("span", "rcnt")  # 抓取网页上总共条数        itemSize = int(content.string.replace(",", "")) #处理1,000有“，”的情况        pageSize = int(itemSize / 100)        if itemSize % 100 != 0:            pageSize += 1        print("总计" + str(itemSize) + "项，共" + str(pageSize) + "页（每页100条）")        print("第1页....")        result = []        # 抓取每一个商品        content = soup.find_all(attrs={'class': re.compile('^sresult lvresult clearfix li')})        for i in content:            # 抓取商品的eBayno            ebayno = i.find_all("div", "lvpic pic img left")[0]['iid']            # 抓取商品的价格            price_content = i.li.find("span", "bold")            cur = price_content.b.string  # 币种            s = str(price_content)            price_ = re.findall('\d*,?\d*,?\d+\.\d+', s)            price = str(price_[0]).replace(",", "")  # 价格            result.append([ebayno, cur, price])        #考虑有的关键词搜索的条数上千条时，只截取前600个ebayno即可        if pageSize >= 6 :            fpage = 6            print("查询条数超过600，截取前600条")        else:            fpage = pageSize        for _pgn in range(2, fpage + 1):            print("第" + str(_pgn) + "页....")            query_rl = "https://www.ebay.com/sch/i.html?_from=R40&_sacat=0&_ipg=100&rt=nc&_nkw=" + serchWords + "&_pgn=" + str(                _pgn) + "&_skc=" + str((_pgn - 1) * 100)            soup = self.getBeautifulSoup(query_rl)            # 抓取每一个商品            content = soup.find_all(attrs={'class': re.compile('^sresult lvresult clearfix li')})            for i in content:                # 抓取商品的eBayno                ebayno = i.find_all("div", "lvpic pic img left")[0]['iid']                # 抓取商品的价格                price_content = i.li.find("span", "bold")                cur = price_content.b.string  # 币种                s = str(price_content)                price_ = re.findall('\d*,?\d*,?\d+\.\d+', s)                price = str(price_[0]).replace(",", "")  # 价格                result.append([ebayno, cur, price])        return result    # 从文件中读到sku对应的关键字，返回sku 关键字 种类数组    def getSkuAndKeyWord(self):        data = xlrd.open_workbook("window regulator_test.xlsx")  # 打开excel        table = data.sheet_by_index(0)  # 读sheet        nrows = table.nrows  # 获得行数        result = []        for i in range(1, nrows):  #            rows = table.row_values(i)  # 行的数据放在数组里            sku = rows[0]            keyword = str(rows[1]).split("-")[1] + " " + str(rows[2]).replace("|", " ") + " window regulator"            kind = rows[3]            result.append([sku, keyword, kind])        return result    def writeEbaynoTocsv(self):        sku_keyword = self.getSkuAndKeyWord()        resultsku = []        for i in range(len(sku_keyword)):            sku = sku_keyword[i][0]            resultsku.append([sku])            keyword = sku_keyword[i][1]            kind = sku_keyword[i][2]            print(keyword)            result = ebay.search(keyword)            out = open("sku\\" + str(sku) + ".csv", "w", newline="")            csv_writer = csv.writer(out)            csv_writer.writerow(["sku", "kind", "ebayno", "ebay_closest_currency", "ebay_closest_price"])            for i in range(len(result)):                # print(str(i), end="\t")                # print(result[i])                csv_writer.writerow([sku, kind, result[i][0], result[i][1], result[i][2]])        return resultskuif __name__ == '__main__':    ebay = EbaySpider()    skuarray = ebay.writeEbaynoTocsv()    print(skuarray)    for i in range(len(skuarray)):        sku = skuarray[i][0]        print(sku)        feed = Feedback_ebayno(sku)        feed.feedbackWriteToCsv()

2：

my_feedback_ebayno.py

import pymysqlimport numpy as npimport csvclass Feedback_ebayno():    def __init__(self, sku):        self.sku = sku    #传入一个ebayno,返回数据库中对应的数据    def connectViogidata(self,ebayno):        db = pymysql.connect(host='', user='', passwd='', db='', port=3306, charset='utf8')        cursor = db.cursor()        sql = ' select  id, ebayno, product_name, price, currency, when_time,shop_name from feedback where ebayno = %s'        cursor.execute(sql,(ebayno))        db.commit()        cursor.close()        db.close()        result = cursor.fetchall()        return result    def feedbackWriteToCsv(self):        # 写入到csv表中        out = open("sku\\feedback_"+str(self.sku)+".csv", "w", newline="")        csv_writer = csv.writer(out)        csv_writer.writerow(["sku","kind","ebayno","product_name","price","currency","when_time","shop_name","ebay_closest_price","ebay_closest_currency"])        # 从csv文件中读取数据        with open("sku\\"+str(self.sku)+".csv", newline="") as f:            reader = csv.reader(f)            k = 0            for row1 in reader:                if k == 0:  # 去掉列名                    k = 1                    continue                k = k + 1                if len(row1) == 0:                    break                kind = row1[1]                ebayno = row1[2]                currency = row1[3]                price = row1[4]                feedback = self.connectViogidata(ebayno)  # 得到元组数据                if feedback is not None:                    for row in feedback:  # 去掉外层括号                        csv_writer.writerow([self.sku , kind,str(row[1]), str(row[2]), str(row[3]), str(row[4]), str(row[5]), str(row[6]) ,price,currency])# if __name__ == '__main__':##     feed = Feedback_ebayno("A80050-740-485")#     feed.feedbackWriteToCsv()