# -*- codeing = utf-8 -*- # @Time : 2021/4/14 13:30 # @Author : Clown # @File : 美团曝光(新).py # @Software : PyCharm from time import sleep import requests import csv import random import xlrd import os import sys from datetime import datetime,timedelta import json import pymysql def linkTomySql(host, passwd, db_name, port): '''连接至数据库返回【db】,v2新增local_infile=1 打开文件导入权限''' try: # 本地连接为：localhost 服务器连接为：124.222.188.59 db = pymysql.connect ( host=host, user="root", passwd=passwd, db=db_name, charset='utf8mb4', local_infile=1, port=port) # print ('\nconnect to mysql server 成功') # print ('---------------------------------------') except: print ("\ncould not connect to mysql server") db = "连接失败" return db def read_key_value_pair(db, brand_name, wm_plate, owner): '''按条件读取，数据库中all_key_table表里的key_value_pair字段中的值，以键值对的形式输出 db:数据库， brand_name：品牌名， wm_plate:外卖平台MEITUAN或ELEME， owner:账号权限all或one ''' cursor = db.cursor () sql = f'SELECT key_value_pair FROM all_key_table WHERE brand_name = "{brand_name}" AND wm_plate = "{wm_plate}" AND owner = "{owner}";' cursor.execute (sql) pair = json.loads (cursor.fetchall ()[0][0]) return pair def get_shops_info_to_list(db, brand_name, wm_plate, key_name): '''获取门店信息表【shops_info_to_list】中的信息， 并返回表单shops_info_df【shop_id，shop_name，update_datetime，info_for_script】 db：数据库信息 brand_name：品牌 wm_plate：外卖平台 key_name：关键信息字段名，如无填‘’，如有填对应键值对的key ''' cursor = db.cursor () if key_name == '': sql = f'SELECT shop_id,shop_name,update_datetime FROM shops_info_for_script WHERE brand_name = "{brand_name}" AND wm_plate = "{wm_plate}";' cursor.execute (sql) shops_info = cursor.fetchall () shops_info_df = [] for shop_info in shops_info: shop_info_dict = {'shop_id': shop_info[0], 'shop_name': shop_info[1]} shops_info_df.append (shop_info_dict) return shops_info_df else: sql = f'SELECT shop_id,shop_name,update_datetime,info_for_script -> "$.{key_name}" FROM shops_info_for_script WHERE brand_name = "{brand_name}" AND wm_plate = "{wm_plate}";' cursor.execute (sql) shops_info = cursor.fetchall () shops_info_df = [] for shop_info in shops_info: shop_info_dict = {'shop_id': shop_info[0], 'shop_name': shop_info[1], 'update_datetime': shop_info[2], f'{key_name}': shop_info[3]} shops_info_df.append (shop_info_dict) return shops_info_df if __name__ == '__main__': host = '124.222.188.59' passwd = '111...Clown' db_name = 'zuzu_data' port = 63306 db = linkTomySql(host, passwd, db_name, port) brand_name = '浆小白' owner = 'all' keys_dict = {'elm':'', 'elm_shops':'', 'mt':'', 'mt_shops':''} keys_dict['elm'] = read_key_value_pair(db, brand_name, 'ELEME', owner) keys_dict['elm_shops'] = get_shops_info_to_list(db,brand_name,'ELEME','') keys_dict['mt'] = read_key_value_pair (db, brand_name, 'MEITUAN', owner) keys_dict['mt_shops'] = get_shops_info_to_list (db, brand_name, 'MEITUAN', '') try: ksid = keys_dict['elm'] ['data']['session']['ksid'] elm_shops = keys_dict['elm_shops'] script_name = os.path.basename(sys.argv[0]) beginTime = (datetime.today() + timedelta(days=-1)).strftime('%Y-%m-%d') #2022-06-23 endTime = (datetime.today() + timedelta(days=-1)).strftime('%Y-%m-%d') #2022-06-23 beginTime_int =int((datetime.today() + timedelta(days=-1)).strftime('%Y%m%d')) #20220623 endTime_int = int((datetime.today() + timedelta(days=-1)).strftime('%Y%m%d')) #20220623 title = ["门店id", "时段", "点击次数", "时段竞价花费", "单次点击花费", "曝光次数", "点击率%", "店名", "数据日期"] with open ("F:/cppc/cppc_数据表/3每日爬虫数据/饿了么分时竞价数据/%s饿了么分时竞价数据.csv" % str (beginTime_int), 'a', newline='', encoding="utf-8-sig") as t: # encoding= "utf-8" writer = csv.writer (t) # 这一步是创建一个csv的写入 writer.writerow (title) # 写入标签 for shop in elm_shops: shop_id = shop['shop_id'] shop_name = shop['shop_name'] # print(shop_name) sleep(random.uniform(0.5, 1.5)) try: url1 = 'https://httpizza.ele.me/vas.gateway/one_route/call_one_bp?method=findUserTotalReport&service=oneReportService' params ={"service":"oneReportService", "method":"findUserTotalReport", "params":[{"loginId":shop_id,"bizCode":"eleCpc"},{"reportEndDate":endTime,"reportStartDate":beginTime,"showDetail":True}], "ksid":ksid} headers = {'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.85 Safari/537.36','content-type':'application/json'} resp =requests.post(url1,json=params,headers=headers)#post类型的网页数据 data = resp.json() data_json = data['result']#分时数据 for list in data_json['list']: timeSign = list['time']#时段 totalCount = list['click']#点击次数 totalCost = list['cost']#时段竞价花费 averageCost = list['ppc']#单次点击花费 exposureAmount = list['impression']#曝光次数 clickRate = list['ctr']#点击率 list_data= [shop_id,timeSign,totalCount,totalCost,averageCost,exposureAmount,clickRate,shop_name,beginTime] writer.writerow(list_data) # 写入样本数据 print(script_name,shop_id, shop_name,'inputing') except: list_data = [shop_id, "error", "error", "error", "error", "error", "error", shop_name,beginTime] writer.writerow(list_data) # 写入样本数据 print(script_name,shop_id,shop_name,'error') except Exception as e: print(e) ''' #需要修改时间注意！注意！ workbook = xlrd.open_workbook(r'F:/cppc/cppc_数据表/门店信息表.xlsx') sheet_list = ["浆小白"] for sheet in sheet_list: table = workbook.sheet_by_name(sheet)#袁阿姨 浆小白 id_data = table.col_values(1,10)#第2列第11行 row = 9#行号 a = str( table.cell_value(1,1))#开始时间 b = str( table.cell_value(2,1))#结束时间 ksid = table.cell_value(0,1)#'MDBMNDMTA1Mjc0Mzc5NjQzNTAxTmRSZWZYaTJQ' pin = table.cell_value(3,1)#第4行 第2列 day = int(table.cell_value(4,1))#第5行 第2列 for i in id_data: row += 1 cell = table.cell_value(row, 2) # 第row行第3列 sleep(random.uniform(0.5, 1.5)) try: n = int(i) url1 = 'https://app-api.shop.ele.me/alchemy/invoke/?method=wager.getUVSummary' params ={'id':'3CF8E83EF1FE4D299B2E44E83328B50D|1619496050955','metas':{'appName':'bs-river-bid','appVersion':'4.4.0','ksid':ksid,'biz_type':'seiya'},'service':'wager','method':'getUVSummary','params':{'restaurantId':n,'type':'','beginTime':a,'endTime':b},'ncp':'2.0.0'} headers = {'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.85 Safari/537.36','content-type':'application/json'} resp =requests.post(url1,json=params,headers=headers)#post类型的网页数据 data = resp.json() data_json = data['result']#分时数据 for list in data_json['details']: timeSign = list['timeSign']#时段 totalCount = list['totalCount']#点击次数 totalCost = list['totalCost']#时段竞价花费 averageCost = list['averageCost']#单次点击花费 exposureAmount = list['exposureAmount']#曝光次数 clickRate = list['clickRate']#点击率 list_data= [[n,timeSign,totalCount,totalCost,averageCost,exposureAmount,clickRate,cell,a]] title = ["门店id","时段","点击次数","时段竞价花费","单次点击花费","曝光次数","点击率%","店名","数据日期"] with open("F:/cppc/cppc_数据表/3每日爬虫数据/饿了么分时竞价数据/%s饿了么分时竞价数据.csv"%str(day), 'a', newline='', encoding="utf-8-sig") as t: # encoding= "utf-8" writer = csv.writer(t) # 这一步是创建一个csv的写入 writer.writerow(title) # 写入标签 writer.writerows(list_data) # 写入样本数据 print(sheet,n, "第%s行"%str(row+1),'inputing') except: list_data = [[n, "error", "error", "error", "error", "error", "error", cell,a]] title = ["门店id", "时段", "点击次数", "时段竞价花费", "单次点击花费", "曝光次数", "点击率%", "店名","数据日期"] with open("F:/cppc/cppc_数据表/3每日爬虫数据/饿了么分时竞价数据/%s饿了么分时竞价数据.csv" %str(day), 'a', newline='', encoding="utf-8-sig") as t: # encoding= "utf-8" writer = csv.writer(t) # 这一步是创建一个csv的写入 writer.writerow(title) # 写入标签 writer.writerows(list_data) # 写入样本数据 print(sheet,n,"第%s行"%str(row+1),'error') '''