diff --git a/q2_1_crawler/movie.json b/q2_1_crawler/movie.json
new file mode 100644
index 0000000..fdce86a
--- /dev/null
+++ b/q2_1_crawler/movie.json
@@ -0,0 +1,102 @@
+[
+ {
+ "id": 1,
+ "title": "三傻大闹宝莱坞",
+ "director": "Frank Darabont",
+ "year": 2018,
+ "rating": 7.0,
+ "duration": 118,
+ "genre": "动画",
+ "actors_count": 5
+ },
+ {
+ "id": 2,
+ "title": "霸王别姬",
+ "director": "陈凯歌",
+ "year": 2012,
+ "rating": 7.1,
+ "duration": 119,
+ "genre": "爱情",
+ "actors_count": 4
+ },
+ {
+ "id": 3,
+ "title": "星际穿越",
+ "director": "Robert Zemeckis",
+ "year": 2015,
+ "rating": 8.8,
+ "duration": 171,
+ "genre": "冒险",
+ "actors_count": 3
+ },
+ {
+ "id": 4,
+ "title": "肖申克的救赎",
+ "director": "James Cameron",
+ "year": 2017,
+ "rating": 8.2,
+ "duration": 149,
+ "genre": "剧情",
+ "actors_count": 3
+ },
+ {
+ "id": 5,
+ "title": "阿甘正传",
+ "director": "宫崎骏",
+ "year": 2001,
+ "rating": 7.1,
+ "duration": 163,
+ "genre": "悬疑",
+ "actors_count": 3
+ },
+ {
+ "id": 6,
+ "title": "泰坦尼克号",
+ "director": "Christopher Nolan",
+ "year": 1996,
+ "rating": 8.6,
+ "duration": 171,
+ "genre": "冒险",
+ "actors_count": 5
+ },
+ {
+ "id": 7,
+ "title": "放牛班的春天",
+ "director": "Lasse Hallström",
+ "year": 2010,
+ "rating": 7.8,
+ "duration": 126,
+ "genre": "科幻",
+ "actors_count": 2
+ },
+ {
+ "id": 8,
+ "title": "千与千寻",
+ "director": "Rajkumar Hirani",
+ "year": 2002,
+ "rating": 8.6,
+ "duration": 160,
+ "genre": "悬疑",
+ "actors_count": 5
+ },
+ {
+ "id": 9,
+ "title": "忠犬八公的故事",
+ "director": "Christophe Barratier",
+ "year": 1997,
+ "rating": 7.9,
+ "duration": 138,
+ "genre": "冒险",
+ "actors_count": 5
+ },
+ {
+ "id": 10,
+ "title": "盗梦空间",
+ "director": "Christopher Nolan",
+ "year": 2008,
+ "rating": 7.3,
+ "duration": 158,
+ "genre": "爱情",
+ "actors_count": 5
+ }
+]
\ No newline at end of file
diff --git a/q2_1_crawler/movies.html b/q2_1_crawler/movies.html
new file mode 100644
index 0000000..513eae1
--- /dev/null
+++ b/q2_1_crawler/movies.html
@@ -0,0 +1,152 @@
+
+
+
+
+
+
+
+ 电影列表
+
+
+
+ 电影列表
+ 数据编号：B-20260623-1192
+
+
+
+
+ | 编号 |
+ 电影名 |
+ 导演 |
+ 上映年份 |
+ 评分 |
+ 时长(分钟) |
+ 类型 |
+ 主演数 |
+
+
+
+
+
+ | 1 |
+ 三傻大闹宝莱坞 |
+ Frank Darabont |
+ 2018 |
+ 7.0 |
+ 118 |
+ 动画 |
+ 5 |
+
+
+
+ | 2 |
+ 霸王别姬 |
+ 陈凯歌 |
+ 2012 |
+ 7.1 |
+ 119 |
+ 爱情 |
+ 4 |
+
+
+
+ | 3 |
+ 星际穿越 |
+ Robert Zemeckis |
+ 2015 |
+ 8.8 |
+ 171 |
+ 冒险 |
+ 3 |
+
+
+
+ | 4 |
+ 肖申克的救赎 |
+ James Cameron |
+ 2017 |
+ 8.2 |
+ 149 |
+ 剧情 |
+ 3 |
+
+
+
+ | 5 |
+ 阿甘正传 |
+ 宫崎骏 |
+ 2001 |
+ 7.1 |
+ 163 |
+ 悬疑 |
+ 3 |
+
+
+
+ | 6 |
+ 泰坦尼克号 |
+ Christopher Nolan |
+ 1996 |
+ 8.6 |
+ 171 |
+ 冒险 |
+ 5 |
+
+
+
+ | 7 |
+ 放牛班的春天 |
+ Lasse Hallström |
+ 2010 |
+ 7.8 |
+ 126 |
+ 科幻 |
+ 2 |
+
+
+
+ | 8 |
+ 千与千寻 |
+ Rajkumar Hirani |
+ 2002 |
+ 8.6 |
+ 160 |
+ 悬疑 |
+ 5 |
+
+
+
+ | 9 |
+ 忠犬八公的故事 |
+ Christophe Barratier |
+ 1997 |
+ 7.9 |
+ 138 |
+ 冒险 |
+ 5 |
+
+
+
+ | 10 |
+ 盗梦空间 |
+ Christopher Nolan |
+ 2008 |
+ 7.3 |
+ 158 |
+ 爱情 |
+ 5 |
+
+
+
+
+
+
\ No newline at end of file
diff --git a/q2_1_crawler/q2_1.py b/q2_1_crawler/q2_1.py
new file mode 100644
index 0000000..51dbfdb
--- /dev/null
+++ b/q2_1_crawler/q2_1.py
@@ -0,0 +1,42 @@
+import requests
+from bs4 import BeautifulSoup as bs
+import json
+header={'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/149.0.0.0 Safari/537.36 Edg/149.0.0.0'}
+url="https://exam.detr.top/exam-b/movies"
+resp=requests.get(url,headers=header)
+resp.encoding="utf-8"
+#print(resp.text)
+soup=bs(resp.text,"html.parser")
+#print(soup)
+items= soup.find_all("tbody")
+#print(items)
+with open("movies.html", "w", encoding="utf-8") as f:
+ f.write(resp.text)
+data=[]
+for item in items:
+ trs=item.find_all("tr")
+ #print(trs)
+ for tr in trs:
+ tds=tr.find_all("td")
+ #print(tds)
+ id=int(tds[0].get_text(strip=True))
+ title = tds[1].get_text(strip=True)
+ director = tds[2].get_text(strip=True)
+ year = int(tds[3].get_text(strip=True))
+ rating = float(tds[4].get_text(strip=True))
+ duration = int(tds[5].get_text(strip=True))
+ genre = tds[6].get_text(strip=True)
+ actors_count = int(tds[7].get_text(strip=True))
+ data.append ({
+ "id": id,
+ "title": title,
+ "director": director,
+ "year": year,
+ "rating": rating,
+ "duration": duration,
+ "genre": genre,
+ "actors_count": actors_count
+ })
+print(data)
+with open("movie.json","w",encoding="utf-8") as f:
+ json.dump(data,f,ensure_ascii=False,indent=4)
\ No newline at end of file
diff --git a/q2_1_crawler/q2_2.py b/q2_1_crawler/q2_2.py
new file mode 100644
index 0000000..ad13bb9
--- /dev/null
+++ b/q2_1_crawler/q2_2.py
@@ -0,0 +1,42 @@
+import json
+
+# 读取json文件
+with open("movie.json", "r", encoding="utf-8") as f:
+ movie_list = json.load(f)
+
+# ① 找出评分最高、最低的电影，打印名称+评分
+max_rating_movie = max(movie_list, key=lambda x: x["rating"])
+min_rating_movie = min(movie_list, key=lambda x: x["rating"])
+print("=====① 最高/最低评分电影=====")
+print(f"最高分电影：{max_rating_movie['title']}，评分：{max_rating_movie['rating']}")
+print(f"最低分电影：{min_rating_movie['title']}，评分：{min_rating_movie['rating']}")
+
+# ② 统计各类型电影数量（字典输出）
+genre_count = {}
+for m in movie_list:
+ g = m["genre"]
+ if g in genre_count:
+ genre_count[g] += 1
+ else:
+ genre_count[g] = 1
+print("\n=====② 各类型电影数量=====")
+print(genre_count)
+
+# ③ 统计各导演电影数量（字典输出）
+director_count = {}
+for m in movie_list:
+ d = m["director"]
+ if d in director_count:
+ director_count[d] += 1
+ else:
+ director_count[d] = 1
+print("\n=====③ 各导演电影数量=====")
+print(director_count)
+
+# ④ 统计2020年（含）以后上映电影数量
+new_movie_num = 0
+for m in movie_list:
+ if m["year"] >= 2020:
+ new_movie_num += 1
+print("\n=====④ 2020年及以后上映影片总数=====")
+print(f"数量：{new_movie_num}")
\ No newline at end of file