完成期末练习
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2509165046
102
q2_1_crawler/movie.html
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102
q2_1_crawler/movie.html
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[
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{
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"id": "1",
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"title": "阿甘正传",
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"director": "Frank Darabont",
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"year": "2023",
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"rating": "8.5",
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"duration": "112",
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"genre": "科幻",
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"actors_count": "4"
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},
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{
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"id": "2",
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"title": "忠犬八公的故事",
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"director": "陈凯歌",
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"year": "2023",
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"rating": "6.9",
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"duration": "102",
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"genre": "动画",
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"actors_count": "4"
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},
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{
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"id": "3",
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"title": "放牛班的春天",
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"director": "Robert Zemeckis",
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"year": "1993",
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"rating": "7.6",
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"duration": "175",
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"genre": "动画",
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"actors_count": "5"
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},
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{
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"id": "4",
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"title": "星际穿越",
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"director": "James Cameron",
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"year": "2024",
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"rating": "9.1",
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"duration": "92",
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"genre": "喜剧",
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"actors_count": "5"
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},
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{
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"id": "5",
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"title": "千与千寻",
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"director": "宫崎骏",
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"year": "2007",
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"rating": "8.3",
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"duration": "146",
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"genre": "悬疑",
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"actors_count": "4"
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},
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{
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"id": "6",
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"title": "肖申克的救赎",
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"director": "Christopher Nolan",
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"year": "1997",
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"rating": "8.3",
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"duration": "117",
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"genre": "爱情",
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"actors_count": "5"
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},
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{
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"id": "7",
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"title": "盗梦空间",
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"director": "Lasse Hallström",
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"year": "2001",
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"rating": "7.5",
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"duration": "131",
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"genre": "悬疑",
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"actors_count": "3"
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},
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{
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"id": "8",
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"title": "泰坦尼克号",
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"director": "Rajkumar Hirani",
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"year": "1994",
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"rating": "6.8",
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"duration": "163",
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"genre": "喜剧",
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"actors_count": "4"
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},
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{
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"id": "9",
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"title": "三傻大闹宝莱坞",
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"director": "Christophe Barratier",
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"year": "1997",
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"rating": "6.8",
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"duration": "107",
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"genre": "冒险",
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"actors_count": "5"
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},
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{
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"id": "10",
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"title": "霸王别姬",
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"director": "Christopher Nolan",
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"year": "2006",
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"rating": "9.1",
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"duration": "98",
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"genre": "科幻",
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"actors_count": "2"
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}
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]
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102
q2_1_crawler/movie.json
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102
q2_1_crawler/movie.json
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[
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{
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"id": "1",
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"title": "阿甘正传",
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"director": "Frank Darabont",
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"year": "2023",
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"rating": "8.5",
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"duration": "112",
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"genre": "科幻",
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"actors_count": "4"
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},
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{
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"id": "2",
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"title": "忠犬八公的故事",
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"director": "陈凯歌",
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"year": "2023",
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"rating": "6.9",
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"duration": "102",
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"genre": "动画",
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"actors_count": "4"
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},
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{
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"id": "3",
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"title": "放牛班的春天",
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"director": "Robert Zemeckis",
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"year": "1993",
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"rating": "7.6",
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"duration": "175",
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"genre": "动画",
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"actors_count": "5"
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},
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{
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"id": "4",
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"title": "星际穿越",
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"director": "James Cameron",
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"year": "2024",
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"rating": "9.1",
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"duration": "92",
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"genre": "喜剧",
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"actors_count": "5"
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},
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{
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"id": "5",
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"title": "千与千寻",
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"director": "宫崎骏",
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"year": "2007",
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"rating": "8.3",
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"duration": "146",
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"genre": "悬疑",
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"actors_count": "4"
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},
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{
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"id": "6",
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"title": "肖申克的救赎",
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"director": "Christopher Nolan",
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"year": "1997",
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"rating": "8.3",
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"duration": "117",
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"genre": "爱情",
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"actors_count": "5"
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},
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{
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"id": "7",
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"title": "盗梦空间",
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"director": "Lasse Hallström",
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"year": "2001",
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"rating": "7.5",
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"duration": "131",
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"genre": "悬疑",
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"actors_count": "3"
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},
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{
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"id": "8",
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"title": "泰坦尼克号",
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"director": "Rajkumar Hirani",
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"year": "1994",
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"rating": "6.8",
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"duration": "163",
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"genre": "喜剧",
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"actors_count": "4"
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},
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{
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"id": "9",
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"title": "三傻大闹宝莱坞",
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"director": "Christophe Barratier",
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"year": "1997",
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"rating": "6.8",
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"duration": "107",
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"genre": "冒险",
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"actors_count": "5"
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},
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{
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"id": "10",
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"title": "霸王别姬",
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"director": "Christopher Nolan",
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"year": "2006",
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"rating": "9.1",
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"duration": "98",
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"genre": "科幻",
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"actors_count": "2"
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}
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]
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48
q2_1_crawler/q2_1.py
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48
q2_1_crawler/q2_1.py
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import requests
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from bs4 import BeautifulSoup as bs
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import json
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url = 'https://exam.detr.top/exam-b/movies'
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headers = {'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',
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'Referer':'https://exam.detr.top/exam-b/movies'}
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req = requests.get(url, headers=headers)
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req.encoding="utf-8"
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data=[]
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soup=bs(req.text,"html.parser")
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# print(soup)
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#id, title, director, year, rating, duration, genre, actors-count
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items=soup.select('.item-row')
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# movie_list=[]
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for i in range(len(items)):
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id=items[i].find("td",class_="item-id").get_text()
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title=items[i].find("td",class_="item-title").get_text().strip()
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director=items[i].find("td",class_="item-director").get_text().strip()
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year=items[i].find("td",class_="item-year").get_text()
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rating=items[i].find("td",class_="item-rating").get_text()
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duration=items[i].find("td",class_="item-duration").get_text()
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genre=items[i].find("td",class_="item-genre").get_text()
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actors_count=items[i].find("td",class_="item-actors-count").get_text()
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data.append({
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"id":id,
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"title":title,
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"director":director,
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"year":year,
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"rating":rating,
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"duration":duration,
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"genre":genre,
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"actors_count":actors_count
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})
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print(data)
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with open('movie.json', 'w', encoding='utf-8') as f:
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json.dump(data, f, ensure_ascii=False, indent=2)
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with open("movie.html","w",encoding='utf-8') as f:
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json.dump(data, f, ensure_ascii=False, indent=2)
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43
q2_1_crawler/q2_2.py
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43
q2_1_crawler/q2_2.py
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# ① 找出评分最高和最低的电影，打印电影名 + 评分。
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# ② 统计各类型的电影数量，用字典格式输出。
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# ③ 统计各导演的电影数量，用字典格式输出。
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# ④ 统计 2020 年（含）以后上映的电影数量。
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import json
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with open('movie.json', 'r', encoding='utf-8') as f:
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data=json.load(f)
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# print(data)
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sort_movie=sorted(data,key=lambda x:x["rating"])
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min=sort_movie[0]
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max=sort_movie[-1]
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print("评分最低的电影",min["title"],min["rating"])
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print("评分最高的电影",max["title"],max["rating"])
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genre_shu={}
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for g in data:
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ge=g["genre"]
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if ge in genre_shu:
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genre_shu[ge]+=1
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else:
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genre_shu[ge]=1
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print("各类型的电影数量",genre_shu)
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director_shu={}
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for d in data:
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di=d["director"]
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if di in director_shu:
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director_shu[di]+=1
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else:
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director_shu[di]=1
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print("各导演的电影数量",director_shu)
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a=0
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for y in data:
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if int(y["year"]) >= 2020:
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a+=1
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print("2020 年（含）以后上映的电影数量",a)
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