豆瓣電影資訊查詢

電影資訊**為豆瓣網，搜尋頁面位址為由於其頁面是通過js渲染的，直接通過requests請求是拿不到電影查詢結果的，所以我先用selenium獲取本頁面的查詢結果並提取出前10條電影名和對應的詳情頁面url，然後再用requests請求需要查詢的電影詳情頁面以獲取電影資訊。

在運用selenium的時候需要開啟無頭模式，具體操作如下：

chrome_options =webdriver.chromeoptions()

chrome_options.add_argument(
'--headless')
chrome_options.add_argument(
'--disable-gpu')
browser = webdriver.chrome(chrome_options=self.chrome_options, executable_path='
chromedriver.exe
')# executable_path應準確指定chromedriver.exe的位置

完整**如下：

import

requests
from selenium import
webdriver
from selenium.webdriver.support.wait import
webdriverwait
from selenium.webdriver.support import
expected_conditions as ec
from selenium.webdriver.common.by import
byfrom lxml.html import
etree
import
bs4import
jieba
import
wordcloud
import
refrom matplotlib import
pyplot
class
movie():
def__init__
(self, name):
self.url = f'
search_text=
'self.headers = ''\
'chrome/78.0.3904.108 safari/537.36"
'self.chrome_options =webdriver.chromeoptions()
self.chrome_options.add_argument(
'--headless')
self.chrome_options.add_argument(
'--disable-gpu')
self.chrome_options.add_argument(self.headers)
self.browser = webdriver.chrome(chrome_options=self.chrome_options, executable_path='
chromedriver.exe')
self.wait = webdriverwait(self.browser, 10)
defget_search(self):
# 獲取搜尋結果，以便進一步選擇
self.browser.get(self.url)
response = self.wait.until(ec.presence_of_all_elements_located((by.css_selector, '
.title > a
')))
ifresponse:
print('
請選擇:')
movies =
for i in range(10):
name =response[i].text
url = response[i].get_attribute('
href')
print(f'.'
) self.browser.close()
return
movies
else
: 
print("
沒有搜到您要的資訊，請重新輸入")
self.get_search()
defget_movie_info(self, movie):
# 在影片詳情頁面提取影片基本資訊
name =movie[0]
url = movie[1]
headers = 
resp = requests.get(url, headers=headers)
try:
if resp.status_code == 200:
soup = bs4.beautifulsoup(resp.text, '
html.parser')
info = soup.find(name='
div', attrs=).text
rating = soup.find(name='
div', attrs=)
rating_num =rating.strong.text
rating_people =rating.a.text
print
(info)
print(f'
評分: ')
print
(rating_people)
text =self.get_reviews(url, headers)
self.word_cloud(name, text)
else
: 
return
none
except
requests.exceptions:
return
none
@staticmethod
def text = ''
for i in range(5):
url = f'
reviews?start=i
'response = requests.get(url, headers=headers)
html =etree.html(response.text)
reviews = html.xpath('
//*[@class="short-content"]/text()')
reviews = ''.join(''
.join(reviews).split())
reviews = ''.join(reviews.split('()'
)) text +=reviews
return
text
@staticmethod
defword_cloud(name, word):
# 生成詞云
name = re.sub(r'
[\\/:*?"<>|\r\n。，.？]+
', ''
, name)
ls =jieba.lcut(word)
text = '
'.join(ls)
w = wordcloud.wordcloud(font_path='
simkai.ttf
', width=800, height=600, background_color='
white')
w.generate(text)
w.to_file(f
'.png')
pyplot.imshow(w)
pyplot.axis(false)
pyplot.show()
defmain():
movie_name = input("
請輸入電影名稱，即可查詢對應的影片資訊:")
m =movie(movie_name)
movies =m.get_search()
num = input('
請輸入序號選擇:')
num =int(num)
m.get_movie_info(movies[num])
if__name__ == '
__main__':
main()

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