首页/技术代码/ Python爬虫之社区团购某团、某心、某多、某马微信小程序商品数据


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[Python] # -*- coding: utf-8 -*-# !/usr/bin/env python# [url=home.php?mod=space&uid=686208]@AuThor[/url] : 好东西来分享# [url=home.php?mod=space&uid=267492]@file[/url] : 美团.pyimport warningsfrom spider import utils as utimport datetimefrom copy import deepcopyimport jsonimport timefrom urllib.parse import quotewarnings.filterwarnings("ignore")def GetCity(token): headers = { "t": token, "User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36 MicroMessenger/7.0.9.501 NetType/WIFI MiniProgramEnv/Windows WindowsWechat" } url = "https://grocery-gh.meituan.com/api/g/grouphead/gw/mini/exclusiveGroupChat" content = ut.parse_url(url=url,headers=headers,method="get") data = content.get("data") city_df = ut.get_city_info() if data is not None: name = data["cityName"] city_df = city_df.loc[city_df["city_name"].str.contains(name)] num = city_df.shape[0] if num == 1: return city_df else: return "=========城市没判断准确!=========" else: return "=======获取城市信息失败!=========="def extract_father_info(token): """获取大类信息""" # todo 这里可能需要修改 headers = { "t": token, "User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36 MicroMessenger/7.0.9.501 NetType/WIFI MiniProgramEnv/Windows WindowsWechat" } url = "https://grocery-gh.meituan.com/api/g/grouphead/service/market/products/tabs" content = ut.parse_url(url=url, headers=headers, method="get") print(content) tabs = content.get("data").get("tabs") data_list = list() for i in tabs: text = i["text"] href = "https://grocery-gh.meituan.com" + i["href"] data_list.append((text,href)) return data_listdef extract_data(token,url,item): res = deepcopy(item) headers = { "t": token, "User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36 MicroMessenger/7.0.9.501 NetType/WIFI MiniProgramEnv/Windows WindowsWechat" } i = 0 while 1: print("开始获取【%s-%s】商品第【%s】页" % (res["app_name"], res["column"],i+1)) if res["column"] == "今日推荐": newurl = url + "?pageSize=20&pageNo=%s&lastCachePosition=%s&sortType=0"%(i,20*i) elif res["column"] == "附近热卖": newurl = url + "?pageSize=20&pageNo=%s&scene=0&utm_medium"%i else: newurl = url + "?pageSize=20&pageNo=%s&utm_medium"%i content = ut.parse_url(url=newurl, headers=headers, method="get") data = content["data"] productList = data["productList"] if productList: # 有数据 转化存储 insert_item(res, productList) # 翻页 i += 1 else: breakdef insert_item(res,productList): item = deepcopy(res) data_list = list() for product in productList: print(product) item["app_sku_id"] = product["skuBaseId"] item["app_sku"] = product["skuName"] item["share_rate"] = format(float(product["rate"]),'.2f') item["sell_price"] = format(float(product["promotionPrice"]),'.2f') if product["originPrice"] == "": item["origin_price"] = 0.00 else: item["origin_price"] = format(float(product["originPrice"]),'.2f') item["price"] = format(float(product["promotionPrice"]) * (1 - (float(product["rate"]) / 100)),'.2f') item["pic_url"] = product["picture"] item["limitcount"] = product["promotionLimitCount"] if "start_time" in item.keys(): item["start_time"] = item["start_time"] else: item["start_time"] = item["update_date"] + " 00:00:00" item["stop_time"] = item["update_date"] + " 23:00:00" item["share_path"] = "pages/skuDetail/index.html?__RST=xxxxxxxxxxxxx&skuCardPicUrl=%s&need_preload=1&skuId=%s&originalPoiId=142932237183389" % (quote(product["picture"], "utf-8"), product["skuBaseId"]) item["data_source"] = json.dumps(product, ensure_ascii=False) sql_data = eval('("""{}""","""{}""","""{}""","""{}""","""{}""","""{}""","""{}""","""{}""","""{}""","""{}""","""{}""","""{}""",None,None,None,"""{}""", None,{},"""{}""","""{}""","""{}""","""{}""")'.format( str(item["app_id"]), item["app_name"], str(item["app_sku_id"]), item["app_sku"], item["column"], str(item["city_id"]),item["city_name"],item["update_date"],item["share_rate"], item["sell_price"], item["origin_price"],item["price"], item["pic_url"], int(item["limitcount"]), item["start_time"], item["stop_time"], item["share_path"], item["data_source"])) data_list.append(sql_data) ut.insert_data(data_list)def second_kill(token, info_url, item): res = deepcopy(item) url = info_url + "?utm_term=2.91.1&sysName=Windows&sysVersion=10&business=gh&debug=false&utm_medium=wxapp&bizId=4&fulfillmentOrderGrayScale=false&batchPickupV0=false&orderListSearchOptGrayScale=true" headers = { "t": token, "mp-mtgsig":'{"a1":"1.0","a2":1621323513286,"a3":"589z9ywx28y65vw8y75u56835w5yxz238212xx310xx989884wzu4xx5","a4":"8ac7a91c334ad77d1ab78c7fcd4b50a998a67bc6dbf69400","a5":"sf1beiELhz+Xyg7Bjrt4WiBfaY5vpkGrCD+xaMHm/GCzgF68kRlDwseX15HeKmD427O8RPN/0//e0hrVLpmTQyIrFn4KfC7lgSnpz1mkANwQ/S+bsOushq0ovjgnpcc7ODCBkY6lOAMLRsx5ZfUQXRXhZLYjrVTEbmWCXbVzNuTvB/KN52FJ/l4oT9rj2aPoSrBeTjLl6JNCJ9bvGyObkkIiL1rFJ6fwNG5uOrr2i+xtucj8jhhjDRraXxuoZVot3quW8FjADvzE6nizxtyrr+KQgll01XLKbSWZM3OFYoI9eOQEeHSGKX69","a6":"w1.0wZD6pex7gKE7BSbNaRNg2mxDIZYZmtB0FRfg0HOH4zk1TGYNLhg3u4NCzb7d+/FIUF4/QGJAVn/svXkS0YDatsFqXQX7AqpLWEtmR3kq0zhwh12faHtXFe7OV79vZn1S4xSS6vPWFQy6tM9gfoG71uAC2r2Y5Z8RiTssEFYvtU3CK8+Js5FxQiO/Ukdu3aqNerp0kItkY14/5EqOTdPwoNDepRAMvzrPCgHuEtOTlIMkWsugTC+DZmDQPoUkETBkopzxIR6eRnA0dg+NKNxNAPHefxOtK7zZyzhOwG7MW7OsrmKZonoLjdy8+f8Ka71eIl1LYLUHibVssomM4TulG1vG0SXEHezm5sQZ5RcsA2DN3IMia21gAT96owpRI48tzvWQadsr+1B66xgBRlAbosGuBLWiSaCbUkCKkkxb8B+aWerlHsHVReGCtz2tHt9aHpx0fO4eEHGN3Nk1sF6ak9PWhk/rzHi61Sav59KUFl4=","a7":"wx4474ed752dbe0955"}', "User-Agent": "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.143 Safari/537.36 MicroMessenger/7.0.9.501 NetType/WIFI MiniProgramEnv/Windows WindowsWechat" } content = ut.parse_url(url=url, headers=headers, method="get") data_list = content["data"] for i in data_list: productList = i["productList"] startTime = i["startTime"]/1000 timeValue = time.localtime(startTime) res["start_time"] = time.strftime("%Y-%m-%d %H:%M:%S", timeValue) insert_item(res, productList) print("【%s-%s】插入成功"%(res["app_name"], res["column"]))def main(): # todo 可能需要修改的 token = "xxxxxxxxx" # 1 数据详情 item = dict() # # 2 日期和app item["update_date"] = str(datetime.datetime.today())[0:10] item["app_id"] = 101 item["app_name"] = "美团优选" # # 3 城市 city_df = GetCity(token) item["city_id"] = city_df["city_id"].values[0] item["city_name"] = city_df["city_name"].values[0] # 分类信息 father_list = extract_father_info(token) if father_list: for i in father_list: item["column"],info_url = i if item["column"] == "限时秒杀": # 秒杀单独提出来 second_kill(token, info_url, item) elif item["column"] == "拉新有奖": continue else: extract_data(token, info_url, item) else: print("========大类信息获取失败,应该需要调整参数") print("====================【%s %s】商品信息获取完毕"%(item["update_date"],item["app_name"]))if __name__ == '__main__': main()
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