python爬取百度网盘
发布于 6 年前 作者 haoning7788 5130 次浏览 来自 分享

因为要做去转盘网(分类模式点我),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:点我下载1 点我下载2

其实还有个磁力站,不过暂时技术不想公开出来,之后也想公开,喜欢的看看:ok搜搜

TEL:继本篇之后,以下是其他所有重要的博客,喜欢的可以看看:

中文分词算法

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js分页部分代码

数据库备份

ok搜搜爬虫源代码

[#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":"\u5723\u8bde\u58c1\u7eb8\u5927\u6d3e\u9001","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":"\u5723\u8bde\u58c1\u7eb8\u5927\u6d3e\u9001","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":"\u597d\u55e8\u597d\u55e8\u554a","avatar_url":"http:\/\/himg.bdimg.com\/sys\/portrait\/item\/979b832f.jpg","intro":"\u9700\u8981\u597d\u8d44\u6599\u52a0994798392","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":"\u62e8\u52a8\u795e\u7684\u5fc3\u7eea","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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2 回复

想问下,ratelimit 是怎么突破的?

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