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…
#####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()
本人建个qq群,欢迎大家一起交流技术, 群号:512245829 喜欢微博的朋友关注:转盘娱乐即可