[TOC]

这里是爬取豆瓣视频信息，用pyquery库(jquery的python库)。

一：代码

from urllib.request import quote

from pyquery import PyQuery as pq

import requests

import pandas as pd

def get_text_page(movie_name):

'''

函数功能：获得指定电影名的源代码

参数：电影名

返回值：电影名结果的源代码

'''

url = 'https://www.douban.com/search?q=' + movie_name

headers = {

'Host' : 'www.douban.com',

'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.90 Safari/537.36',

}

r = requests.get(url,headers = headers,timeout=5)

return r.text

def get_last_url(this_text):

'''

函数功能：根据指定的源代码得到最终的网页地址

参数：搜索结果源代码

返回值：最终的网页地址

'''

doc = pq(this_text)

lis = doc('.title a').items()

k = 0

this_str = ''

for i in lis:

# print('豆瓣搜索结果为:{0}'.format(i.text()))

# print('地址为:{0}'.format(i.attr.href))

# print('\n')

if k == 0:

this_str = i.attr.href

k += 1

return this_str

def the_last_page(this_url):

'''

函数功能：获得最终电影网页的源代码

参数：最终的地址

返回值：最终电影网页的源代码

'''

headers = {

'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.90 Safari/537.36',

}

r = requests.get(this_url,headers = headers,timeout=20)

return r.text

def the_last_text(this_text,movie_name):

'''

函数功能：获得每一项的数据

参数：爬取页面的源代码

返回值：返回空

'''

doc = pq(this_text)

# 获取标题

title = doc('#content h1').text()

# 获取海报

photo = doc('.nbgnbg img')

photo_url = photo.attr.src

r = requests.get(photo_url)

with open('{m}.jpg'.format(m = movie_name),'wb') as f:

f.write(r.content)

# 电影信息

message = doc('#info').text()

# 豆瓣评分

grade = doc('#interest_sectl').text()

# 剧情

things = doc('.related-info').text()

with open('{0}.txt'.format(movie_name),'w+') as f:

try:

f.writelines([title,'\n','\n\n',message,'\n\n',grade,'\n\n',things])

except:

f.writelines([title,'\n','\n\n',message,'\n\n',grade])

# 演员

# 演员名

name = []

person_name = doc('.info').items()

for i in person_name:

name.append(i.text())

# 演员图片地址

person_photo = doc('#celebrities')

j = 0

for i in person_photo .find('.avatar').items():

m = i.attr('style')

person_download_url = m[m.find('(') + 1:m.find(')')]

# 下载演员地址

r = requests.get(person_download_url)

try:

with open('{name}.jpg'.format(name = name[j]),'wb') as f:

f.write(r.content)

except:

continue

j += 1

def lookUrl(this_text,my_str):

'''

函数功能：获得观看链接

参数：爬取页面的源代码

返回值：返回空

'''

doc = pq(this_text)

all_url = doc('.bs li a').items()

movie_f = []

movie_url = []

for i in all_url:

movie_f.append(i.text())

movie_url.append(i.attr.href)

dataframe = pd.DataFrame({'观看平台':movie_f,'观看地址':movie_url})

dataframe.to_csv("{movie_name}的观看地址.csv".format(movie_name = my_str),index=False,encoding = 'utf_8_sig',sep=',')

def main():

name = input('')

my_str = name

movie_name = quote(my_str)

page_text = get_text_page(movie_name)# 得指定电影名的源代码

last_url = get_last_url(page_text)# 根据指定的源代码得到最终的网页地址

page_text2 = the_last_page(last_url)# 获得最终电影网页的源代码

the_last_text(page_text2,my_str)# 获得每一项的数据

lookUrl(page_text2,my_str)# 得到并处理观看链接

main()

二：结果如下(部分例子)

1.输入天气之子

2.输入百变小樱魔法卡

必须是已经上映的电影才有观看地址

3.独立日