python爬取百度⽹盘分享动态
我之前写的⼀份爬⾍，在百度⽹盘没有改版之前，有很多资源达⼈在他们的百度⽹盘动态分享⾃⼰的资源，后来我关注了⼀批分享影视资源的账号，程序定时去爬取他们的动
态，将他们分享出来的百度⽹盘链接收⼊⾃⼰的数据库，写⼊数据库之前查询资源是否重复和不良关键词过滤，然后在另⼀端⽹页或APP，将数据库的资源展⽰出来，早期市⾯
上的⽹盘资源搜索就是运⽤了这个原理，因为后来百度⽹盘改版，取消动态分享，程序⽬前已经⽆法正常运⾏，本⽂做个思路记录。
程序主⼊⼝，实现爬取百度⽹盘动态分享的功能都写在这个⽂件了，还负责调⽤其他⽂件函数，运⾏这个脚本就可以不间断的执⾏
# 主程序
import requests,re, json, time
import random
from mysql_db import *
import threading
from aidy_pc import *
from yszx import *
from defs import *
header = {
"Cookie": "",
"Host": "pan.baidu",
"Referer": "pan.baidu/pcloud/friendpage?type=follow&uk=2489863899&self=1",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.87 Safari/537.36",
"X-Requested-With": "XMLHttpRequest"
}
# 获取账号订阅的id
list_uk = ['2489863899']
def getShareUser():
start = 0
for star in range(100):
try:
url = 'pan.baidu/pcloud/friend/getfollowlist?query_uk=2489863899&limit=24&start=%d' % start
follows_json = ((url, headers=header)).json()
if len(follows_json['follow_list']) == 0: # 如果没有返回数据侧退出
break
lists = follows_json['follow_list'] # 全部信息列表
for i in lists: # 遍历分离出每个订阅⽤户的信息
list_uk.append(i['follow_uk']) # 添加uk到列表
start = start + 24
time.sleep(random.randint(10, 25))
except:
continue
# if list_uk == '':
# return False
# else:
# return list_uk
# 程序开始
def gethtml(): # 爬取⽹盘资源函数
tu = getShareUser() # 这⾥是去获取我订阅的账号id
if tu == False: # 如果获取不到订阅列表，则退出
pass
else:
start = 0交易担保网站源码
for uk in list_uk: # 循环订阅id
for n in range(2): # 循环翻页
url = "pan.baidu/pcloud/feed/getdynamiclist?auth_type=1&filter_types=11000&query_uk=
%s&category=0&limit=25&start=%s&bdstoken=29b0093f2c23b7afd5f41c39f57be34e&channel=chunlei&clienttype=0&web=1 uk, start)
filelist_json = (url, headers=header).json()
if filelist_json['errno'] != 0:
break
list_records = filelist_json['records'] # 本次请求的所有资源列表
for data_vaule in list_records: # 遍历资源列表⾥的所有字典
if data_vaule['category'] == 3: # 不要图⽚
pass
if gjc_gl(data_vaule['title'])==False: # 关键词过滤
pass
else:
#print(data_vaule['title'])
print(data_vaule)
#mysql_into(data_vaule) # 开始写⼊数据库
##print(data_vaule) # ⽂件类型：category(⽂件夹6，视频1，图⽚3) 链接：shorturl 标题：title 时间：feed_time
start = start + 25
time.sleep(random.randint(10, 25))
if__name__ == '__main__':
while True:
try:
gethtml() # ⽹盘爬⾍函数
t1 = threading.Thread(target=bdsl) # ⽹盘失效连接检测函数
#t2 = threading.Thread(target=aidy) # 爱电影⽹站爬⾍函数
#t3 = threading.Thread(target=main_ys)
t1.start()
#t2.start()
#t3.start()
time.sleep(10800) # 每3个⼩时爬⼀次，⼀天爬4次
except:
continue
View Code
数据写⼊数据库和百度⽹盘失效链接检测删除函数，将爬取到的数据传⼊函数即可写⼊数据库，还有⼀个链接失效检测函数，链接失效很正常，这个函数对整个数据库的链接进
⾏检测，如果失效的链接删除。
# 对数据库进⾏连接与数据⼊库
import pymysql,time
import requests,re
import random
def pysql():
try:
mysql = t('127.0.0.1', 'bdwp', 'xDnwLnjSEXLbGJYa', 'bdwp', charset="utf8")
#mysql = t('127.0.0.1', 'root', 'root', 'bdwp', charset="utf8")
return mysql
except:
print("数据库连接失败！")
exit()
def mysql_into(data_vaule): # ⽹盘数据添加数据库函数
mysql = pysql()
db = mysql.cursor()
sqlcx = "select title from data_zy WHERE title='%s'"%data_vaule['title']
data = db.fetchall()
if not data: # 没有的时候执⾏
sqlcxid = "select max(id) from data_zy"
dataid = db.fetchall()
ids = (int(dataid[0][0])) + 1 # 获取最后⼀个⼊库id
time_time = time.strftime("%Y-%m-%d %H:%M", time.localtime()) # 获取⼊库时间
timeStamp = data_vaule['feed_time'] # 转换资源分享时间
timeStamp = float(timeStamp / 1000)
timeArray = time.localtime(timeStamp)
otherStyleTime = time.strftime("%Y-%m-%d %H:%M:%S", timeArray)
try:
sqltj = "insert into data_zy (id,category,shorturl,title,feed_time,rk_time) VALUES ('%d','%d','%s','%s','%s','%s')" % (ids,data_vaule['category'], data_vaule['shorturl'],data_vaule['title'],otherStyleTime,time_time) db.execute(sqltj)
mysqlmit()
except:
pass
else:
return False # 数据库⾥存在⽂件时
python入门教程网盘mysql.close()
# 百度链接失效检测函数
def bdsl():
header = {美国总统大选2020结果
"Host": "pan.baidu",
"Referer": "pan.baidu/pcloud/friendpage?type=follow&uk=2489863899&self=1",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.87 Safari/537.36",
"X-Requested-With": "XMLHttpRequest"
}
mysql = pysql()
db = mysql.cursor()
sqlcx = "select id,shorturl from data_zy"
data = db.fetchall()
#查询完成
for r in data:
url = "pan.baidu/s/"+r[1]
id = r[0]
html = ((url, headers=header).text).encode('iso-8859-1').decode('utf-8')
srt = "此链接分享内容可能因为涉及侵权、⾊情、反动、低俗等信息，⽆法访问！"
if srt in html:
sqlde = "DELETE FROM data_zy WHERE id = %s" % id
time.sleep(random.randint(10, 25))
else:
pass
View Code
这⾥还有个⼩函数，如果我们爬取的资源标题包含敏感词则不写⼊数据库，主要过滤⼴告
from mysql_db import pysql
def gjc_gl(title):
mysql = pysql()
db = mysql.cursor()
sql = "select * from gjc_gl WHERE id=1"
data = db.fetchall()[0][1]
data = data.split(',')
for trs in data:树形控件
if trs in title:
return Falsematlab傅里叶曲线拟合
else:
pass
return True
# import os
# import binascii
# cats = {
# u'video': u'视频',
# u'image': u'图⽚',
# u'document': u'书籍',
# u'music': u'⾳乐',
# u'package': u'压缩',
# u'software': u'软件',
# }
#
# def get_label(name):
# if name in cats:
# return cats[name]
# return u'其它'
#
# # 函数⽤途，根据传⼊的⽂件名后缀⽽判断⽂件类型
# def get_category(ext):
# ext = ext + '.'
# cats = {
# u'video': '.vb.m2ts.wmv.mkv.v.vob.asf.3gp.mpg.mpeg.m4v.f4v.',
# u'image': '.jpg.bmp.jpeg.png.gif.tiff.',
# u'document': '.pdf.pub.bc!.doc.docx.xlsx.xls.pptx.ppt.',
# u'music': '.mp3.wma.ape.wav.dts.mdf.flac.',
# u'package': '.zip.rar.iso.dmg.pkg.',
# u'software': '.exe.app.msi.apk.',
# u'torrent': '.torrent.'
# }
# for k, v in cats.items():
# if ext in v:
# return get_label(k) # 调⽤
# return '其他'
View Code
这⾥写了⼀个拓展函数，去爬取其他⽹站的函数，动态分享获取到的资源或许不够，这⾥可以多渠道爬取其他⽹站，从⽽可以建⽴⼀个更加全⾯的百度⽹盘资源搜索import requests,re,time
import random
import pymysql
from mysql_db import pysql
def aidy():
for i in range(11, 24): # 1000
for r in range(1, 6):
try:
url = "520.58801hn/%d/page/%d" % (i, r)
header = {
"User-Agent": "Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.88 Mobile Safari/537.36"}
html = (url, headers=header).text
re_url = re.findall('<div class="entry-meta">.*?<a href="(.*?)" rel="bookmark">', html, re.S)
times = re.findall('<div class="entry-meta">.*?itemprop="datePublished">(.*?)</time></a>', html, re.S)
t=0
for for_url in re_url:
html_wp = (for_url, headers=header).text
re_wp = re.findall('<p>.*?href="pan.baidu/s/(.*?)">百度云盘</a>.*?：(.*?)</p>', html_wp,
re.S)
if re_wp:
h1 = re.findall('<h1 class="entry-title" itemprop="name headline">(.*?)</h1>', html_wp, re.S)
# 开始连接数据库
mysql = pysql()
db = mysql.cursor()
# # 查询是否有重复标题
sqlcx = "select title from data_zy WHERE title='%s'" % h1[0]
data = db.fetchall()
# # 没有重复标题时添加数据
if not data: # 没有的时候执⾏
sqlcxid = "select max(id) from data_zy"
dataid = db.fetchall()
ids = (int(dataid[0][0])) + 1 # 获取最后⼀个⼊库id
time_time = time.strftime("%Y-%m-%d %H:%M", time.localtime()) # 获取⼊库时间
try:
sqltj = "insert into data_zy (id,category,shorturl,title,feed_time,rk_time,wpmm) VALUES ('%d','6','%s','%s','%s','%s','%s')" % (
ids, re_wp[0][0], h1[0], times[t], time_time, re_wp[0][1])
mysqlmit()
t = t + 1
except:
pass
else:
pass
time.sleep(random.randint(2, 10))教师之家
time.sleep(random.randint(2, 10))
except:
time.sleep(60)
continue
if__name__ == '__main__':
while True:
try:
aidy()
time.sleep(10800) # 每3个⼩时爬⼀次，⼀天爬4次
except:
continue
View Code
数据库的设计⽐较简单，只做了两个表，可以看看写⼊数据库函数那部分。
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