详解使用Selenium爬取豆瓣电影前100的爱情片相关信息

pip install Selenium

from selenium import webdriver

url='https://www.baidu.com/'
browser=webdriver.Chrome()
browser.get(url)

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
import time

movies=browser.find_elements_by_class_name('movie-name-text')
  names=[]
  for item in movies:
    if item.text!='':
      names.append(item.text)

movies=browser.find_elements_by_class_name('#content > div > div.article > div.movie-list-panel.pictext > div:nth-child(1) > div > div > div.movie-name > span.movie-name-text > a')

def get_page():
  browser.implicitly_wait(10)
  for i in range(50):
    time.sleep(0.3)
    browser.execute_script('window.scrollTo(0,document.body.scrollHeight)')
    print('正在下滑第{}次'.format(i))
    print('-------------')
  #time.sleep(10)
  print("*****请等待几秒*****")
  time.sleep(10)
  when=wait.until(EC.presence_of_all_elements_located((By.CSS_SELECTOR,'#content > div > div.article > div.movie-list-panel.pictext > div:nth-child(380) > div > a > img')))

browser.execute_script('window.scrollTo(0,document.body.scrollHeight)')#下滑操作

rate,miscs,actor_list,ranks,playable_sign,names=get_page()
  datas=pd.DataFrame({'names':names,'rank':ranks,'分类':miscs,'评分':rate})
  try:
    datas.to_csv('机器学习\爬虫\douban_0327.csv',encoding='utf_8_sig')
    print("保存成功")
    print(datas)

from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
import pandas as pd
import time

url='https://movie.douban.com/typerank?type_name=爱情片&type=13&interval_id=100:90&action='
options=webdriver.ChromeOptions()
options.add_argument('lang=zh_CN.UTF-8')
options.add_argument('user-agent="Mozilla/5.0 (Windows NT 6.3; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36"')
browser=webdriver.Chrome()
browser.get(url)
wait=WebDriverWait(browser,10)
def get_page():
  browser.implicitly_wait(10)
  for i in range(50):
    time.sleep(0.3)
    browser.execute_script('window.scrollTo(0,document.body.scrollHeight)')#下滑操作
    print('正在下滑第{}次'.format(i))
    print('-------------')
  #time.sleep(10)
  print("*****请等待几秒*****")
  time.sleep(10)
  when=wait.until(EC.presence_of_all_elements_located((By.CSS_SELECTOR,'#content > div > div.article > div.movie-list-panel.pictext > div:nth-child(380) > div > a > img')))
#-----------------------------------------------------------------
  movies=browser.find_elements_by_class_name('movie-name-text')
  names=[]
  for item in movies:
    if item.text!='':
      names.append(item.text)
  print("爬取成功")
  print(len(names))
#---------------------------------------------------------------
  playables=browser.find_elements_by_class_name('playable-sign')
  playable_sign=[]
  for sign in playables:
    if sign.text!='':
      playable_sign.append(sign.text)
  print('爬取成功')
  print(len(playable_sign))
#------------------------------------------------------------
  rank_names=browser.find_elements_by_class_name('rank-num')
  ranks=[]
  for rank in rank_names:
    if rank.text!='':
      ranks.append(rank.text)
  print('爬取成功')
  print(len(ranks))
#---------------------------------------------------------
  actors=browser.find_elements_by_class_name('movie-crew')
  actor_list=[]
  for actor in actors:
    if actor.text!='':
      actor_list.append(actor.text)
  print('爬取成功')
  print(len(actor_list))
#----------------------------------------------------------
  clasic=browser.find_elements_by_class_name('movie-misc')
  miscs=[]
  for misc in clasic:
    if misc.text!='':
      miscs.append(misc.text)
  print('爬取成功')
  print(len(miscs))
#-----------------------------------------------------------
  rates=browser.find_elements_by_class_name('movie-rating')
  rate=[]
  for score in rates:
    if score.text!='':
      rate.append(score.text)
  print('爬取成功')
  print(len(rate))
#-----------------------------------------------------------
  '''
  links=browser.find_elements_by_class_name('movie-content')
  for link in links:
    link_img=link.get_attribute('data-original')
    print(link_img)
  '''
  return rate,miscs,actor_list,ranks,playable_sign,names

if __name__ == "__main__":
  rate,miscs,actor_list,ranks,playable_sign,names=get_page()
  datas=pd.DataFrame({'names':names,'rank':ranks,'分类':miscs,'评分':rate})
  try:
    datas.to_csv('机器学习\爬虫\douban_0327.csv',encoding='utf_8_sig')
    print("保存成功")
    print(datas)
  except:
    print('保存失败')