标签：python python爬虫 百度网盘爬虫 怎么爬取百度网盘
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
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
#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()
本文出自 “黄歇” 博客，请务必保留此出处http://5912119.blog.51cto.com/5902119/1771391
标签：python python爬虫 百度网盘爬虫 怎么爬取百度网盘
原文地址：http://5912119.blog.51cto.com/5902119/1771391
