Python爬去豆瓣电影Top250

import requests
import bs4

def open_url(url):
    #使用***
    #proxies = {"http": "127.0.0.1:1000", "https":"127.0.0.1:1000"}
    headers = {"user-agent":"Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/55.0.2883.87 Safari/537.36"}

    #res = requests.get(url, headers = headers, proxies = proxies)
    res = requests.get(url,headers = headers)

    return res

def find_movies(res):
    soup = bs4.BeautifulSoup(res.text, "html.parser")

    #电影名
    movies =[]
    targets =soup.find_all("div", class_="hd")
    for each in targets:
        movies.append(each.a.span.text)

    #评分
    ranks = []
    targets =soup.find_all("span", class_="rating_num")
    for each in targets:
        ranks.append(each.text)
   
    #资料
    messages = []
    targest = soup.find_all("div", class_="bd")
    for each in targets:
        try:
            messages.append(each.p.text.split('\n')[1].strip()+each.p.text.split('\n')[2].strip())
        except:
            continue

    #每个电影的地址
    id = []
    targets =soup.find_all("a", href="https://movie.douban.com/subjext/")
    for each in targets:
        print(each.a)
        id.append(each.a)
    

        
    print(len(movies), len(ranks), len(messages))
    result = []
    length = len(movies)
    for i in range(length):
        result.append(movies[i]+ranks[i]+'\n')
   
    return result
        
def find_depth(res):
    soup = bs4.BeautifulSoup(res.text, 'html.parser')
    depth = soup.find('span', class_='next').previous_sibling.previous_sibling.text
    return (int(depth))

def main():
    host = "https://movie.douban.com/top250"
    res = open_url(host)
    depth = find_depth(res)
    

    result = []
    for i in range(depth):
        url = host + '?start=' + str(25*i)
        res = open_url(url)
        result.extend(find_movies(res))

        with open("豆瓣top2250电影.txt", "w", encoding="utf-8") as f:
            for each in result:
                f.write(each)

if __name__ == "__main__":
    main()