Python3實現的爬蟲爬取數據并存入mysql數據庫操作示例
本文實例講述了Python3實現的爬蟲爬取數據并存入mysql數據庫操作。分享給大家供大家參考,具體如下:
爬一個電腦客戶端的訂單。羅總推薦,抓包工具用的是HttpAnalyzerStdV7,與chrome自帶的F12類似。客戶端有接單大廳,羅列所有訂單的簡要信息。當單子被接了,就不存在了。我要做的是新出訂單就爬取記錄到我的數據庫zyc里。
設置每10s爬一次。
抓包工具頁面如圖:
首先是爬蟲,先找到數據存儲的頁面,再用正則爬出。
# -*- coding:utf-8 -*- import re import requests import pymysql #Python3的mysql模塊,Python2 是mysqldb import datetime import time def GetResults(): requests.adapters.DEFAULT_RETRIES = 5 #有時候報錯,我在網上找的不知道啥意思,好像也沒用。 reg = [r'"id":(.*?),', r'"order_no":"(.*?)",', r'"order_title":"(.*?)",', r'"publish_desc":"(.*?)",', r'"game_area":"(.*?)\\/(.*?)\\/(.*?)",', r'"order_current":"(.*?)",', r'"order_content":"(.*?)",', r'"order_hours":(.*?),', r'"order_price":"(.*?)",', r'"add_price":"(.*?)",', r'"safe_money":"(.*?)",', r'"speed_money":"(.*?)",', r'"order_status_desc":"(.*?)",', r'"order_lock_desc":"(.*?)",', r'"cancel_type_desc":"(.*?)",', r'"kf_status_desc":"(.*?)",', r'"is_show_pwd":(.*?),', r'"game_pwd":"(.*?)",', r'"game_account":"(.*?)",', r'"game_actor":"(.*?)",', r'"left_hours":"(.*?)",', r'"created_at":"(.*?)",', r'"account_id":"(.*?)",', r'"mobile":"(.*?)",', r'"contact":"(.*?)",', r'"qq":"(.*?)"},'] results=[] try: for l in range(1,2): #頁碼 proxy = {'HTTP':'61.135.155.82:443'} #代理ip html = requests.get('https://www.dianjingbaozi.com/api/dailian/soldier/hall?access_token=3ef3abbea1f6cf16b2420eb962cf1c9a&dan_end=&dan_start=&game_id=2&kw=&order=price_desc&page=%d'%l+'&pagesize=30&price_end=0&price_start=0&server_code=000200000000&sign=ca19072ea0acb55a2ed2486d6ff6c5256c7a0773×tamp=1511235791&type=public&type_id=%20HTTP/1.1',proxies=proxy) # 用get的方式訪問。網頁解碼成中文。接單大廳頁。 # html=html.content.decode('utf-8') outcome_reg_order_no = re.findall(r'"order_no":"(.*?)","game_area"', html) #獲取訂單編號,因為訂單詳情頁url與訂單編號有關。 for j in range(len(outcome_reg_order_no)): html_order = requests.get('http://www.lpergame.com/api/dailian/order/detail?access_token=eb547a14bad97e1ee5d835b32cb83ff1&order_no=' +outcome_reg_order_no[j] + '&sign=c9b503c0e4e8786c2945dc0dca0fabfa1ca4a870×tamp=1511146154 HTTP/1.1',proxies=proxy) #訂單詳細頁 html_order=html_order.content.decode('utf-8') # print(html_order) outcome_reg = [] for i in range(len(reg)):#每條訂單 outcome = re.findall(reg[i], html_order) if i == 4: for k in range(len(outcome)): outcome_reg.extend(outcome[k]) else: outcome_reg.extend(outcome) results.append(outcome_reg) #結果集 return results except: time.sleep(5) #有時太頻繁會報錯。 print("失敗") pass
根據爬蟲結果建表,這里變量名要準確。并且要設置唯一索引,使每次爬的只有新訂單入庫。
def mysql_create(): mysql_host = '' mysql_db = 'zyc' mysql_user = 'zyc' mysql_password = '' mysql_port = 3306 db = pymysql.connect(host=mysql_host, port=mysql_port, user=mysql_user, password=mysql_password, db=mysql_db,charset='utf8') # 連接數據庫編碼注意是utf8,不然中文結果輸出會亂碼 sql_create = "CREATE TABLE DUMPLINGS (id CHAR(10),order_no CHAR(50),order_title VARCHAR(265),publish_desc VARCHAR(265),game_name VARCHAR(265),"\ "game_area VARCHAR(265),game_area_distinct VARCHAR(265),order_current VARCHAR(3908),order_content VARCHAR(3908),order_hours CHAR(10)," \ "order_price FLOAT(10),add_price FLOAT(10),safe_money FLOAT(10),speed_money FLOAT(10),order_status_desc VARCHAR(265),"\ "order_lock_desc VARCHAR(265),cancel_type_desc VARCHAR(265),kf_status_desc VARCHAR(265),is_show_pwd TINYINT,game_pwd CHAR(50),"\ "game_account VARCHAR(265),game_actor VARCHAR(265),left_hours VARCHAR(265),created_at VARCHAR(265),account_id CHAR(50),"\ "mobile VARCHAR(265),mobile2 VARCHAR(265),contact VARCHAR(265),contact2 VARCHAR(265),qq VARCHAR(265),"\ "PRIMARY KEY (`id`),UNIQUE KEY `no`(`order_no`))ENGINE=InnoDB AUTO_INCREMENT=12 DEFAULT CHARSET=utf8" sql_key="CREATE UNIQUE INDEX id ON DUMPLINGS(id)" cursor = db.cursor() cursor.execute("DROP TABLE IF EXISTS DUMPLINGS") cursor.execute(sql_create)# 執(zhí)行SQL語句 cursor.execute(sql_key) db.close() # 關閉數據庫連
把數據導入Mysql,注意編碼和字段之間的匹配。
def IntoMysql(results): mysql_host = '' mysql_db = 'zyc' mysql_user = 'zyc' mysql_password = '' mysql_port = 3306 db = pymysql.connect(host=mysql_host, port=mysql_port, user=mysql_user, password=mysql_password, db=mysql_db,charset='utf8') # 連接數據庫編碼注意是utf8,不然中文結果輸出會亂碼 cursor = db.cursor() for j in range(len(results)): try: sql = "INSERT INTO DUMPLINGS(id,order_no,order_title,publish_desc ,game_name," \ "game_area,game_area_distinct,order_current,order_content,order_hours," \ "order_price,add_price,safe_money,speed_money,order_status_desc," \ "order_lock_desc,cancel_type_desc,kf_status_desc,is_show_pwd,game_pwd," \ "game_account,game_actor,left_hours,created_at,account_id," \ "mobile,mobile2,contact,contact2,qq) VALUES (" for i in range(len(results[j])): sql = sql + "'" + results[j][i] + "'," sql = sql[:-1] + ")" sql = sql.encode('utf-8') cursor.execute(sql) db.commit() except:pass db.close()
每十秒運行一次。
mysql_create() i=0 while True: results = GetResults() IntoMysql(results) i=i+1 print("爬蟲次數:",i) time.sleep(10)
結果如圖:
更多關于Python相關內容可查看本站專題:《Python Socket編程技巧總結》、《Python正則表達式用法總結》、《Python數據結構與算法教程》、《Python函數使用技巧總結》、《Python字符串操作技巧匯總》、《Python+MySQL數據庫程序設計入門教程》及《Python常見數據庫操作技巧匯總》
希望本文所述對大家Python程序設計有所幫助。
相關文章
計算機二級python學習教程(3) python語言基本數據類型
這篇文章主要為大家詳細介紹了計算機二級python學習教程的第3篇,python語言基本數據類型,具有一定的參考價值,感興趣的小伙伴們可以參考一下2019-05-05