python 抓取alexa数据

　　要抓取http://www.alexa.cn/rank/baidu.com网站的排名信息：例如抓取以下信息：

　　

　　　需要微信扫描登录

　 　　因为这个网站抓取数据是收费，所以就利用网站提供API服务获取json信息：

　　

　　

　　

　　上面的API KEY值需要花钱买的（注意开通会员的方式不行，必须以10000次查询 49.00 元这种方式，比较坑爹啊）

　　具体python代码

　　

# coding=utf-8
import json
import httplib2
import json
import xlrd
import xlwt
import os
import datetime
import time
class alexa:

    def __init__(self,key="7Z4ddd6ywaQuo6RkKfI3SzGeKn8Mavde"):
        self.key = key

    def WriteLog(self, message,date):
        fileName = os.path.join(os.getcwd(), 'alexa/' + date  +   '.txt')
        with open(fileName, 'a') as f:
            f.write(message)

    def WriteSheetRow(self,sheet, rowValueList, rowIndex, isBold):
        i = 0
        style = xlwt.easyxf('font: bold 1')
        # style = xlwt.easyxf('font: bold 0, color red;')#红色字体
        style2 = xlwt.easyxf('pattern: pattern solid, fore_colour yellow; font: bold on;') # 设置Excel单元格的背景色为黄色，字体为粗体
        for svalue in rowValueList:
            if isBold:
                sheet.write(rowIndex, i, svalue, style2)
            else:
                sheet.write(rowIndex, i, svalue)
            i = i + 1

    def save_Excel(self,headList,valuelist,fileName):
        wbk = xlwt.Workbook()
        sheet = wbk.add_sheet('sheet1', cell_overwrite_ok=True)
        # headList = ['周期', '全球网站排名', '变化趋势', '日均UV']
        rowIndex = 0
        self.WriteSheetRow(sheet, headList, rowIndex, True)
        for lst in valuelist:
            rowIndex+=1
            self.WriteSheetRow(sheet, lst, rowIndex, False)
        wbk.save(fileName)

    def getAlexaData(self,domain):
        url="http://api.alexa.cn/alexa/details?site=%s&key=%s"%(domain,self.key)
        try:
            h = httplib2.Http(".cache")
            (resp_headers, content) = h.request(url, "GET")
            data = json.loads(content.decode('utf8'))
            self.parserData(data)
            # print(data)

        except Exception as e1:
            error = "ex"

    def parserData(self,data):
        # f = open("alexa.txt", "r")
        # txt = f.read()
        # data = json.loads(txt)

        traffic_dict = data["result"]["traffic_data"]
        day = traffic_dict["day"]

        week = traffic_dict["week"]
        month = traffic_dict["month"]
        three_month = traffic_dict["three_month"]

        trafic_headList = ['周期', '全球网站排名', '变化趋势', '日均UV', '日均PV']
        traffic_data_list =[]
        day_list = ["当日"]
        week_list = ["周平均"]
        month_list = ["月平均"]
        three_month_list = ["三月平均"]
        trafic = ["time_range", "traffic_rank", "traffic_rank_delta", "avg_daily_uv", "avg_daily_pv"]
        length = len(trafic)
        for i in range(1,length):
            day_list.append(day[trafic[i]])
            week_list.append(week[trafic[i]])
            month_list.append(month[trafic[i]])
            three_month_list.append(three_month[trafic[i]])

        traffic_data_list.append(day_list)
        traffic_data_list.append(week_list)
        traffic_data_list.append(month_list)
        traffic_data_list.append(three_month_list)

        fileName = datetime.datetime.now().strftime('%Y-%m-%d')+"_traffic.xlsx"
        fileName = os.path.join(os.getcwd(),fileName)
        self.save_Excel(trafic_headList,traffic_data_list,fileName)

        country_headList = ['国家/地区名称', '国家/地区代码', '国家/地区排名', '网站访问比例', '页面浏览比例']
        country_data_list = []
        country_data = data["result"]["country_data"]
        col_list = ["country","code","rank","per_users","per_pageviews"]
        length = len(col_list)
        for item in country_data:
            lst =[]
            for i in range(0,length):
                lst.append(item[col_list[i]])
            country_data_list.append(lst)

        fileName = datetime.datetime.now().strftime('%Y-%m-%d') + "_country.xlsx"
        fileName = os.path.join(os.getcwd(), fileName)
        self.save_Excel(country_headList, country_data_list, fileName)

        subdomains_headList = ['被访问网址', '近月网站访问比例', '近月页面访问比例', '人均页面浏览量']
        subdomains_data_list = []
        subdomains_data = data["result"]["subdomains_data"]
        sub_col_list = ["subdomain", "reach_percentage", "pageviews_percentage", "pageviews_peruser"]
        length = len(sub_col_list)
        for item in subdomains_data:
            lst = []
            for i in range(0, length):
                lst.append(item[sub_col_list[i]])
            subdomains_data_list.append(lst)

        fileName = datetime.datetime.now().strftime('%Y-%m-%d') + "_subdomains.xlsx"
        fileName = os.path.join(os.getcwd(), fileName)
        self.save_Excel(subdomains_headList, subdomains_data_list, fileName)

        # print(("%s,%s,%s,%s,%s") % (day[trafic[0]], day[trafic[1]], day[trafic[2]], day[trafic[3]], day[trafic[4]]))
        # print(("%s,%s,%s,%s,%s") % (week[trafic[0]], week[trafic[1]], week[trafic[2]], week[trafic[3]], week[trafic[4]]))
        # print(("%s,%s,%s,%s,%s") % (month[trafic[0]], month[trafic[1]], month[trafic[2]], month[trafic[3]], month[trafic[4]]))
        # print(("%s,%s,%s,%s,%s") % (three_month[trafic[0]], three_month[trafic[1]], three_month[trafic[2]], three_month[trafic[3]], three_month[trafic[4]]))
        # print("\n")

        # print("country_data")
        # country_data =  data["result"]["country_data"]
        # for item in country_data:
        #     print(("%s,%s,%s,%s,%s") % (item["country"], item["code"], item["rank"], item["per_users"], item["per_pageviews"]))
        #
        # print("\n")
        # print("subdomains_data")
        # subdomains_data = data["result"]["subdomains_data"]
        # for item in subdomains_data:
        #     print(("%s,%s,%s,%s") % (item["subdomain"], item["reach_percentage"], item["pageviews_percentage"], item["pageviews_peruser"]))

obj = alexa()
obj.getAlexaData("baidu.com")
# obj.parserData("")