python爬虫爬取百度网盘-怎么做一个百度网盘搜索引擎

摘要：因为要做去转盘网，所以一定要爬取网盘资源，本来想自己写一个爬虫挺不容易的，不想分享出来，但最后还是决定了拿给大家一起看吧，毕竟有交流才有进步，有兴趣的朋友也可以看看我写的其他日志或者关注我，会发现去转盘网的大部分技术现在可以说是公开状态，如

因为要做去转盘网，所以一定要爬取网盘资源，本来想自己写一个爬虫挺不容易的，不想分享出来，但最后还是决定了拿给大家一起看吧，毕竟有交流才有进步，有兴趣的朋友也可以看看我写的其他日志或者关注我，会发现去转盘网,的大部分技术现在可以说是公开状态，如有对你有帮助还是认真读读吧，下面是爬虫代码，我立马公开：

ps：不会python的孩子先去学学python，代码是python写的

我附上点资料：
点我 或者点我

Tell:很高心该博客得到大量的网友好评，为了回馈大家，本人今天又公开了百度图片爬虫代码，下面是链接，喜欢的可以看看
地址：http://5912119.blog.51cto.com...

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#####coding: utf8
"""
author:haoning
create time: 2015-8-15
"""
import re #####正则表达式模块
import urllib2 #####获取URLs的组件
import time
from Queue import Queue
import threading, errno, datetime
import json
import requests #Requests is an Apache2 Licensed HTTP library
import MySQLdb as mdb
 
DB_HOST = "127.0.0.1"
DB_USER = "root"
DB_PASS = ""
#####以下是正则匹配规则
re_start = re.compile(r"start=(d+)") #d 表示0-9 任意一个数字 后面有+号 说明这个0-9单个数位出现一到多次 比如21312314
re_uid = re.compile(r"query_uk=(d+)") #查询编号
re_urlid = re.compile(r"&urlid=(d+)") #url编号
 
ONEPAGE = 20 #一页数据量
ONESHAREPAGE = 20 #一页分享连接量
 
#####缺少专辑列表
URL_SHARE = "http://yun.baidu.com/pcloud/feed/getsharelist?auth_type=1&start={start}&limit=20&query_uk={uk}&urlid={id}" #获得分享列表
"""
{"feed_type":"share","category":6,"public":"1","shareid":"1541924625","data_id":"2418757107690953697","title":"u5723u8bdeu58c1u7eb8u5927u6d3eu9001","third":0,"clienttype":0,"filecount":1,"uk":1798788396,"username":"SONYcity03","feed_time":1418986714000,"desc":"","avatar_url":"http://himg.bdimg.com/sys/portrait/item/1b6bf333.jpg","dir_cnt":1,"filelist":[{"server_filename":"u5723u8bdeu58c1u7eb8u5927u6d3eu9001","category":6,"isdir":1,"size":1024,"fs_id":870907642649299,"path":"%2F%E5%9C%A3%E8%AF%9E%E5%A3%81%E7%BA%B8%E5%A4%A7%E6%B4%BE%E9%80%81","md5":"0","sign":"1221d7d56438970225926ad552423ff6a5d3dd33","time_stamp":1439542024}],"source_uid":"871590683","source_id":"1541924625","shorturl":"1dDndV6T","vCnt":34296,"dCnt":7527,"tCnt":5056,"like_status":0,"like_count":60,"comment_count":19},
public:公开分享
title:文件名称
uk:用户编号
"""
URL_FOLLOW = "http://yun.baidu.com/pcloud/friend/getfollowlist?query_uk={uk}&limit=20&start={start}&urlid={id}" #获得订阅列表
"""
{"type":-1,"follow_uname":"u597du55e8u597du55e8u554a","avatar_url":"http://himg.bdimg.com/sys/portrait/item/979b832f.jpg","intro":"u9700u8981u597du8d44u6599u52a0994798392","user_type":0,"is_vip":0,"follow_count":2,"fans_count":2276,"follow_time":1415614418,"pubshare_count":36,"follow_uk":2603342172,"album_count":0},
follow_uname:订阅名称
fans_count：粉丝数
"""
URL_FANS = "http://yun.baidu.com/pcloud/friend/getfanslist?query_uk={uk}&limit=20&start={start}&urlid={id}" # 获取关注列表
"""
{"type":-1,"fans_uname":"u62e8u52a8u795eu7684u5fc3u7eea","avatar_url":"http://himg.bdimg.com/sys/portrait/item/d5119a2b.jpg","intro":"","user_type":0,"is_vip":0,"follow_count":8,"fans_count":39,"follow_time":1439541512,"pubshare_count":15,"fans_uk":288332613,"album_count":0}
avatar_url：头像
fans_uname：用户名
"""
 
QNUM = 1000
hc_q = Queue(20) #请求队列
hc_r = Queue(QNUM) #接收队列
success = 0
failed = 0
 
def req_worker(inx): #请求
    s = requests.Session() #请求对象
    while True:
        req_item = hc_q.get() #获得请求项
        
        req_type = req_item[0] #请求类型，分享?订阅？粉丝？
        url = req_item[1] #url
        r = s.get(url) #通过url获得数据
        hc_r.put((r.text, url)) #将获得数据文本和url放入接收队列
        print "req_worker#", inx, url #inx 线程编号； url 分析了的 url
        
def response_worker(): #处理工作
    dbconn = mdb.connect(DB_HOST, DB_USER, DB_PASS, "baiduyun", charset="utf8")
    dbcurr = dbconn.cursor()
    dbcurr.execute("SET NAMES utf8")
    dbcurr.execute("set global wait_timeout=60000") #以上皆是数据库操作
    while True:
        """
        #正则备注
        match() 决定 RE 是否在字符串刚开始的位置匹配
        search() 扫描字符串，找到这个 RE 匹配的位置
        findall() 找到 RE 匹配的所有子串，并把它们作为一个列表返回
        finditer() 找到 RE 匹配的所有子串，并把它们作为一个迭代器返回
                  百度页面链接：http://pan.baidu.com/share/link?shareid=3685432306&uk=1798788396&from=hotrec
        uk 其实用户id值
        """
        metadata, effective_url = hc_r.get() #获得metadata（也就是前面的r.text）和有效的url
        #print "response_worker:", effective_url
        try:
            tnow = int(time.time()) #获得当前时间
            id = re_urlid.findall(effective_url)[0] #获得re_urlid用户编号
            start = re_start.findall(effective_url)[0] #获得start用户编号
            if True:
                if "getfollowlist" in effective_url: #type = 1，也就是订阅类
                    follows = json.loads(metadata) #以将文本数据转化成json数据格式返回
                    uid = re_uid.findall(effective_url)[0] #获得re_uid，查询编号
                    if "total_count" in follows.keys() and follows["total_count"]>0 and str(start) == "0": #获得订阅数量
                        for i in range((follows["total_count"]-1)/ONEPAGE): #开始一页一页获取有用信息
                            try:
                                dbcurr.execute("INSERT INTO urlids(uk, start, limited, type, status) VALUES(%s, %s, %s, 1, 0)" % (uid, str(ONEPAGE*(i+1)), str(ONEPAGE)))
                                #存储url编号，订阅中有用户编号，start表示从多少条数据开始获取，初始status=0为未分析状态
                            except Exception as ex:
                                print "E1", str(ex)
                                pass
                    
                    if "follow_list" in follows.keys(): #如果订阅者也订阅了，即拥有follow_list
                        for item in follows["follow_list"]:
                            try:
                                dbcurr.execute("INSERT INTO user(userid, username, files, status, downloaded, lastaccess) VALUES(%s, "%s", 0, 0, 0, %s)" % (item["follow_uk"], item["follow_uname"], str(tnow)))
                                #存储订阅这的用户编号，用户名，入库时间
                            except Exception as ex:
                                print "E13", str(ex)
                                pass
                    else:
                        print "delete 1", uid, start
                        dbcurr.execute("delete from urlids where uk=%s and type=1 and start>%s" % (uid, start))
                elif "getfanslist" in effective_url: #type = 2,也就是粉丝列表
                    fans = json.loads(metadata)
                    uid = re_uid.findall(effective_url)[0]
                    if "total_count" in fans.keys() and fans["total_count"]>0 and str(start) == "0":
                        for i in range((fans["total_count"]-1)/ONEPAGE):
                            try:
                                dbcurr.execute("INSERT INTO urlids(uk, start, limited, type, status) VALUES(%s, %s, %s, 2, 0)" % (uid, str(ONEPAGE*(i+1)), str(ONEPAGE)))
                            except Exception as ex:
                                print "E2", str(ex)
                                pass
                    
                    if "fans_list" in fans.keys():
                        for item in fans["fans_list"]:
                            try:
                                dbcurr.execute("INSERT INTO user(userid, username, files, status, downloaded, lastaccess) VALUES(%s, "%s", 0, 0, 0, %s)" % (item["fans_uk"], item["fans_uname"], str(tnow)))
                            except Exception as ex:
                                print "E23", str(ex)
                                pass
                    else:
                        print "delete 2", uid, start
                        dbcurr.execute("delete from urlids where uk=%s and type=2 and start>%s" % (uid, start))
                else: #type=0，也即是分享列表
                    shares = json.loads(metadata)
                    uid = re_uid.findall(effective_url)[0]
                    if "total_count" in shares.keys() and shares["total_count"]>0 and str(start) == "0":
                        for i in range((shares["total_count"]-1)/ONESHAREPAGE):
                            try:
                                dbcurr.execute("INSERT INTO urlids(uk, start, limited, type, status) VALUES(%s, %s, %s, 0, 0)" % (uid, str(ONESHAREPAGE*(i+1)), str(ONESHAREPAGE)))
                            except Exception as ex:
                                print "E3", str(ex)
                                pass
                    if "records" in shares.keys():
                        for item in shares["records"]:
                            try:
                                dbcurr.execute("INSERT INTO share(userid, filename, shareid, status) VALUES(%s, "%s", %s, 0)" % (uid, item["title"], item["shareid"])) #item["title"]恰好是文件名称
                                #返回的json信息：
                            except Exception as ex:
                                #print "E33", str(ex), item
                                pass
                    else:
                        print "delete 0", uid, start
                        dbcurr.execute("delete from urlids where uk=%s and type=0 and start>%s" % (uid, str(start)))
                dbcurr.execute("delete from urlids where id=%s" % (id, ))
                dbconn.commit()
        except Exception as ex:
            print "E5", str(ex), id
    dbcurr.close()
    dbconn.close() #关闭数据库
    
def worker():
    global success, failed
    dbconn = mdb.connect(DB_HOST, DB_USER, DB_PASS, "baiduyun", charset="utf8")
    dbcurr = dbconn.cursor()
    dbcurr.execute("SET NAMES utf8")
    dbcurr.execute("set global wait_timeout=60000")
    #以上是数据库相关设置
    while True:
 
        #dbcurr.execute("select * from urlids where status=0 order by type limit 1")
        dbcurr.execute("select * from urlids where status=0 and type>0 limit 1") #type>0,为非分享列表
        d = dbcurr.fetchall()
        #每次取出一条数据出来
        #print d
        if d: #如果数据存在
            id = d[0][0] #请求url编号
            uk = d[0][1] #用户编号
            start = d[0][2]
            limit = d[0][3]
            type = d[0][4] #哪种类型
            dbcurr.execute("update urlids set status=1 where id=%s" % (str(id),)) #状态更新为1，已经访问过了
            url = ""
            if type == 0: #分享
                url = URL_SHARE.format(uk=uk, start=start, id=id).encode("utf-8") #分享列表格式化
                #query_uk uk 查询编号
                #start
                #urlid id url编号
            elif  type == 1: #订阅
                url = URL_FOLLOW.format(uk=uk, start=start, id=id).encode("utf-8") #订阅列表格式化
            elif type == 2: #粉丝
                url = URL_FANS.format(uk=uk, start=start, id=id).encode("utf-8") #关注列表格式化
            if url:
                hc_q.put((type, url)) #如果url存在，则放入请求队列，type表示从哪里获得数据
                #通过以上的url就可以获得相应情况下的数据的json数据格式，如分享信息的，订阅信息的，粉丝信息的
                
            #print "processed", url
        else: #否则从订阅者或者粉丝的引出人中获得信息来存储，这个过程是爬虫树的下一层扩展
            dbcurr.execute("select * from user where status=0 limit 1000")
            d = dbcurr.fetchall()
            if d:
                for item in d:
                    try:
                        dbcurr.execute("insert into urlids(uk, start, limited, type, status) values("%s", 0, %s, 0, 0)" % (item[1], str(ONESHAREPAGE)))
                        #uk 查询号，其实是用户编号
                        #start 从第1条数据出发获取信息
                        #
                        dbcurr.execute("insert into urlids(uk, start, limited, type, status) values("%s", 0, %s, 1, 0)" % (item[1], str(ONEPAGE)))
                        dbcurr.execute("insert into urlids(uk, start, limited, type, status) values("%s", 0, %s, 2, 0)" % (item[1], str(ONEPAGE)))
                        dbcurr.execute("update user set status=1 where userid=%s" % (item[1],)) #做个标志，该条数据已经访问过了
                        #跟新了分享，订阅，粉丝三部分数据
                    except Exception as ex:
                        print "E6", str(ex)
            else:
                time.sleep(1)
                
        dbconn.commit()
    dbcurr.close()
    dbconn.close()
        
def main():
    print "starting at:",now()
    for item in range(16):    
        t = threading.Thread(target = req_worker, args = (item,))
        t.setDaemon(True)
        t.start() #请求线程开启，共开启16个线程
    s = threading.Thread(target = worker, args = ())
    s.setDaemon(True)
    s.start() #worker线程开启
    response_worker()  #response_worker开始工作
    print "all Done at:", now()  

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