Python实训第三天

1#1.requests基本使用import requests  # 导入requests请求库
2
3# 往百度主页发送请求，获取响应对象
4response = requests.get(url='https://www.baidu.com/')
5
6# 设置字符编码为 utf-8
7response.encoding = 'utf-8'
8
9# 打印响应文本
10print(response.text)
11
12# 把响应文本写入本地
13with open('baidu.html', 'w', encoding='utf-8') as f:
14    f.write(response.text)#2.
15
16'''''''''视频选项:    梨视频'''# import requests## # 往视频源地址发送请求# response = requests.get(#     'https://video.pearvideo.com/mp4/adshort/20190625/cont-1570302-14057031_adpkg-ad_hd.mp4')## # 打印二进制流，比如图片、视频等数据# print(response.content)## # 保存视频到本地# with open('视频.mp4', 'wb') as f:#     f.write(response.content)'''1、先往梨视频主页发送请求    https://www.pearvideo.com/        解析获取所有视频的id:        video_1570302                re.findall()        2、获取视频详情页url:    惊险!男子抢上地铁滑倒,就脚进去了    https://www.pearvideo.com/video_1570302    揭秘坎儿井    https://www.pearvideo.com/video_1570107'''import requestsimport re  # 正则，用于解析文本数据# 1、先往梨视频主页发送请求response = requests.get('https://www.pearvideo.com/')# print(response.text)# re正则匹配获取所有视频id# 参数1: 正则匹配规则# 参数2: 解析文本# 参数3: 匹配模式res_list = re.findall('<a href="video_(.*?)"', response.text, re.S)# print(res_list)# 拼接每一个视频详情页urlfor v_id in res_list:    detail_url = 'https://www.pearvideo.com/video_' + v_id    # print(detail_url)    # 对每一个视频详情页发送请求获取视 频源url    response = requests.get(url=detail_url)    # print(response.text)    # 解析并提取详情页视频url    # 视频url    video_url = re.findall('srcUrl="(.*?)"', response.text, re.S)[0]    print(video_url)    # 视频名称    video_name = re.findall(        '<h1 class="video-tt">(.*?)</h1>', response.text, re.S)[0]    print(video_name)    # 往视频url发送请求获取视频二进制流    v_response = requests.get(video_url)    with open('%s.mp4' % video_name, 'wb') as f:        f.write(v_response.content)        print(video_name, '视频爬取完成')
17
18#3.爬取豆瓣电影Top250'''https://movie.douban.com/top250?start=0&filter=https://movie.douban.com/top250?start=25&filter=https://movie.douban.com/top250?start=50&filter=1.发送请求2.解析数据3.保存数据'''import requestsimport re# 爬虫三部曲# 1.发送请求def get_page(base_url):    response = requests.get(base_url)    return response# 2.解析文本def parse_index(text):    res = re.findall('<div class="item">.*?<em class="">(.*?)</em>.*?<a href="(.*?)">.*?<span class="title">(.*?)</span>.*?导演:(.*?)</p>.*?<span class="rating_num".*?>(.*?)</span>.*?<span>(.*?)人评价</span>.*?<span class="inq">(.*?)</span>', text, re.S)    # print(res)    return res# 3.保存数据def save_data(data):    with open('douban.txt', 'a', encoding='utf-8') as f:        f.write(data)# main + 回车键if __name__ == '__main__':    # num = 10    # base_url = 'https://movie.douban.com/top250?start={}&filter='.format(num)    num = 0    for line in range(10):        base_url = f'https://movie.douban.com/top250?start={num}&filter='        num += 25        print(base_url)        # 1.发送请求，调用函数        response = get_page(base_url)        # 2.解析文本        movie_list = parse_index(response.text)        # 3.保存数据        # 数据的格式化        for movie in movie_list:            # print(movie)            # 解压赋值            # 电影排名、电影url、电影名称、导演 - 主演 - 类型、电影评分、评价人数、电影简介            v_top, v_url, v_name, v_daoyan, v_point, v_num, v_desc = movie            # v_top = movie[0]            # v_url = movie[1]            moive_content = f'''            电影排名: {v_top}            电影url: {v_url}            电影名称: {v_name}            导演主演: {v_daoyan}            电影评分: {v_point}            评价人数: {v_num}            电影简介: {v_desc}            \n            '''            print(moive_content)            # 保存数据            save_data(moive_content)