diff --git a/get.py b/get.py
new file mode 100644
index 0000000..3b224cc
--- /dev/null
+++ b/get.py
@@ -0,0 +1,86 @@
+import requests
+from bs4 import BeautifulSoup
+from time import sleep
+import pandas as pd
+
+def requests_get(url):
+   headers ={ "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"}
+   try:
+       response = requests.get(url, headers=headers)
+       response.raise_for_status()#检查响应码
+       return response.text
+   except requests.exceptions.RequestException as e:#捕获异常
+       print(f"请求失败: {e}")
+       return None
+
+def get_movie_info(html):
+   soup = BeautifulSoup(html, 'lxml')
+   item_elements = soup.find_all("div", class_="item")
+
+   movie_list = []
+
+   for item in item_elements:
+       movie = {}
+       #获取电影排名
+       movie['ranking'] = item.find('em', class_='').get_text(strip=True)#strip除去前后空白字符
+       #获取电影名称
+       movie['title'] = item.find('span', class_='title').get_text(strip=True)
+       #获取电影详情链接
+       movie['link'] = item.find('a', href=True)['href']
+       #获取电影评分
+       movie['rating'] = item.find('span', class_='rating_num').get_text(strip=True)
+       #获取电影简介
+       try:
+           movie['profile'] = item.find('span', class_='inq').get_text(strip=True)
+       except AttributeError:
+           movie['profile'] = '无'
+       #获取电影评价人数
+       span_list_len = len(item.find_all('span'))
+       if span_list_len >= 6:
+           num_reviews = item.find_all('span')[span_list_len - 2].get_text(strip=True).replace('人评价', '')
+           movie['num_reviews'] = num_reviews
+       #获取电影海报链接
+       poster = item.find('img', class_='')['src']
+       movie['poster'] = poster
+
+       #获取电影类型与首映国家与上映年份
+       movie_infos = item.select('p', class_="")[0].text.strip()
+
+       if movie['title'] == '大闹天宫':
+           movie['type'] = movie_infos.split('\n')[1].split('/')[4].strip()
+           movie['country'] = movie_infos.split('\n')[1].split('/')[3].split(' ')[0].strip()
+       else:
+           movie['type'] = movie_infos.split('\n')[1].split('/')[2].strip()
+           movie['country'] = movie_infos.split('\n')[1].split('/')[1].split(' ')[0].strip()
+       movie['year'] = movie_infos.split('\n')[1].split('/')[0].strip(' ').strip('(中国大陆)')
+       
+       movie_soup = BeautifulSoup(requests_get(movie['link']), 'lxml')#进一步解析电影详细页面
+       movie['director'] = movie_soup.find("a", rel="v:directedBy").get_text()
+
+       #获取片长
+       movie['time'] = movie_soup.find("span", property="v:runtime").get_text(strip=True).replace('片长','')
+
+       try:
+           movie['actor'] = movie_soup.find("a", rel="v:starring").get_text(strip=True)
+       except AttributeError:
+           movie['actor'] = '无'
+
+       movie_list.append(movie)
+
+   return movie_list
+
+if __name__ == '__main__':
+    movie_data = []
+    headers ={ "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36"}
+    for i in range(0,250,25):
+        content=requests.get(f'https://movie.douban.com/top250?start={i}',headers=headers)
+        html=content.text
+        movies = get_movie_info(html)
+        movie_data.extend(movies)
+        print(f'爬取进度 {i}/250')
+        sleep(3)
+    print('爬取完成')
+    print(movie_data)
+    df = pd.DataFrame(movie_data)#转为DataFrame格式
+    df.to_csv('export.csv', index=False, encoding='utf-8')
+    print('存储完成')
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