豆瓣用代理爬虫(检验请求状态).py

import csv
import os


#生成代理池子，num为代理池容量
def proxypool(num):
    n = 1
    os.chdir(r'C:/Users/Administrator/Desktop')
    fp = open('host2.txt', 'r')
    proxys = list()
    ips = fp.readlines()
    while n<num:
        for p in ips:
            ip = p.strip('\n').split('\t')
            proxy = 'http:\\' + ip[0] + ':' + ip[1]
            proxies = {'proxy': proxy}
            proxys.append(proxies)
            n+=1
    return proxys

def fetch_movies(tag, pages, proxys):
    os.chdir(r'C:/Users/Administrator/Desktop')
    url = 'https://movie.douban.com/tag/爱情?start={}'
    headers = {
    'User-Agent': 'Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/'
                  '537.36 (KHTML, like Gecko) Chrome/56.0.2924.87 Mobile Safari/537.36'}

    #用csv文件保存数据
    csvFile = open("{}.csv".format(tag), 'a+', newline='', encoding='utf-8')
    writer = csv.writer(csvFile)
    writer.writerow(('name', 'score', 'peoples', 'date', 'nation', 'actor'))

    for page in range(0, pages*(20+1), 20):
        url = url.format(tag, page)
        try:
            respones = requests.get(url, headers=headers, proxies=random.choice(proxys))
            while respones.status_code!=200:
                respones = requests.get(url, headers=headers, proxies=random.choice(proxys))
            soup = BeautifulSoup(respones.text, 'lxml')
            movies = soup.find_all(name='div', attrs={'class': 'pl2'})
            print(movies)
            break;
            for movie in movies:
                movie = BeautifulSoup(str(movie), 'lxml')
                movname = movie.find(name='a')
                # 影片名
                movname = movname.contents[0].replace(' ', '').strip('\n').strip('/').strip('\n')
                movInfo = movie.find(name='p').contents[0].split('/')
                # 上映日期
                date = movInfo[0][0:10]
                # 国家
                nation = movInfo[0][11:-2]
                actor_list = [act.strip(' ').replace('...', '') for act in movInfo[1:-1]]
                # 演员
                actors = '\t'.join(actor_list)
                # 评分
                score = movie.find('span', {'class': 'rating_nums'}).string
                # 评论人数
                peopleNum = movie.find('span', {'class': 'pl'}).string[1:-4]
                writer.writerow((movname, score, peopleNum, date, nation, actors))
        except:
            continue
        print('共有{}页，已爬{}页'.format(pages, int((page/20))))

proxyPool= proxypool(50)
print(proxyPool)
fetch_movies('烂片', 111, proxyPool)