利用爬到的数据，基于Django搭建的一个最新电影信息网站：
n1celll.xyz
今天想利用所学知识来爬取电影天堂所有最新电影信息，用到的模块：
requests：用于获取网页信息
re：获取网页中具体想要的信息
Beautifulsoup：便于标签搜索，获取想要信息
threading：使用多线程大幅度缩短爬取时间
queue：使用线程队列来写入文件（实际上我是把数据全部存入了数据库）
大概差不多就这些模块。
欢迎各位大牛指点。
# Author : 'n1celll'
import requests
import JSON
import re
from bs4 import BeautifulSoup
import threading
import queue,time
header = header = {
'User-Agent': 'Mozilla/5.0 (windows NT 10.0; Win64; x64) AppleWEBKit/537.36 (Khtml, like Gecko) Chrome/73.0.3683.86 Safari/537.36'}
url = 'Http://www.ygdy8.net/html/gndy/dyzz/index.html'
def get_page(url):
index = requests.get(url, headers=header)
index.enconding = 'GBK'# 将编码转为与HTML一致
t = index.text
index_soup = BeautifulSoup(t, 'html.parser')# 将获得的网页信息 转成soup对象
all_pages = index_soup.find('select', attrs={'name': 'sldd'}).find_all('option')[-1] # 获得总页数
page = int(all_pages.string)
return page
def get_data(page):
page_url = 'http://www.ygdy8.net/html/gndy/dyzz/list_23_%s.html' % (page) # 获取每一页数据
print(page)
# page_url = 'http://www.ygdy8.net/html/gndy/dyzz/list_23_30.html'
res = requests.get(page_url, headers=header)
res.encoding = 'GBK' # 'gb2312'
a = res.text
soup = BeautifulSoup(a, 'html.parser')
name = soup.find_all('a', attrs={'class': 'ulink'})
# print(name)测试
for i in name:
try:
moive_name = re.search('《(.*?)(》|】)', i.string).group()
# 有两个坑，这个里面有个电影名字不是用的书名号，还有一个电影有两个a标签
except:
continue
html = 'http://www.ygdy8.net' + i['href']
da = requests.get(html, headers=header)
da.encoding = 'GBK' # da.apparent_encoding
db = da.text
# f = open('test2.txt','w',encoding='utf8')
# f.write(a.text)
# f.close()
dr = BeautifulSoup(db, 'html.parser')
span = dr.find('span', attrs={'style': 'FONT-SIZE: 12px'})
if span:
dc = span.text.split()
data = ''
for i in dc:
data += i
print(data)
msg = {}
if data:
msg['mname'] = moive_name
try:
show_t = re.search(r'(?<=(◎年代|◎时间|品年代|年代】|播时间|播】：))(.*?)(?=◎|年|【)', data).group()
except:
show_t = re.search(r'(?<=日期|份：)(.*?)(?=(-|剧))', data).group()
msg['mtime'] = show_t
try:
country = re.search(r'(?<=(◎国家|◎产地|◎地区|◎国别|国家】))(.*?)(?=◎|【类)', data).group()
except:
try:
country = re.search(r'(?<=地区)(.*?)(?=语言)', data).group()
except:
country = '未知'
msg['mcountry'] = country
try:
time = re.search(r'(?<=◎片长|长度】)(.*?)(?=◎|【)', data).group()
except:
time = '未知'
msg['mtime'] = time
try:
mtype = re.search(\
r'(?<=(◎类别|别类型|影类型|◎类型|集类型|◎分类|类型：|类别】|片类型|型】：))(.*?)(?=(◎|级别|【出品|【主演))', \
data).group()
except:
try:
mtype = re.search(r'(?<=类型:)(.*?)(?=国)', data).group()
except:
mtype = re.search(r'动作|爱情|战争', data).group()
#以上的正则表达式，感觉用的很笨拙，希望有技术大牛提点建议
# with open('test4.txt','a+',encoding='utf8') as f:测试
# f.write('%s: %s,%s,%s,%s\n' % (moive_name, country, mtype, time, show_t))测试
q.put('%s: %s,%s,%s,%s,%s\n' % (moive_name, country, mtype, time, show_t,html))
q = queue.Queue(maxsize=10000)
t_obj = []
lock = threading.Lock()#加上线程锁
# semaphore = threading.BoundedSemaphore(200)
def writing(f):
# semaphore.acquire()
data = q.get()
lock.acquire()
f.write(data)
lock.release()
# semaphore.release()
# if not q.get():
# f.close()
# break
# print('写入完成')
all_page = get_page(url)
f = open('test4.txt', 'w', encoding='utf8')
print(all_page+1)
for i in range(1,all_page+1):
t = threading.Thread(target=get_data,args=(i,))
t.start()
t_obj.append(t)
for t in t_obj:
t.join()#保证所有线程结束后开始写入
print('%s over'%t)
while q.qsize():#判断队列里面是否还有元素
w = threading.Thread(target=writing, args=(f,))
w.start()
w.join()
else:
print('写入完成')