{ "aaData": [
[ "1", "Armand", "Warren", "56045", "Taiwan, Province of China" ],
[ "2", "Xenos", "Salas", "71090", "Liberia" ],
[ "3", "Virginia", "Whitaker", "62723", "Nicaragua" ],
[ "4", "Kato", "Patrick", "97662", "Palau" ],
[ "5", "Penelope", "Hensley", "76634", "Greenland" ],
[ "6", "Georgia", "Erickson", "81358", "Bolivia" ],
[ "7", "Shad", "Pena", "20600", "Palestinian Territory, Occupied" ],
[ "8", "Tanisha", "Humphrey", "93371", "Kenya" ],
[ "9", "Claire", "Espinoza", "I8S 2S8", "Panama" ],
[ "10", "Raya", "Tucker", "O8D 8W7", "Botswana" ],
[ "11", "Otto", "Briggs", "57590", "Anguilla" ],
[ "12", "Logan", "Burt", "53041", "Venezuela" ],
[ "13", "Cooper", "Pennington", "36994", "France" ],
[ "14", "Kristen", "Peterson", "52917", "Sao Tome and Principe" ],
[ "15", "Jordan", "Velasquez", "08884", "Switzerland" ],
[ "16", "Zelda", "Freeman", "F9H 1J9", "Holy See (Vatican City State)" ],
[ "17", "Mary", "Pacheco", "A7Y 6X9", "Niger" ],
[ "18", "Tiger", "Robles", "44533", "Malaysia" ],
[ "19", "Zelenia", "Buckner", "Q8N 6E5", "Malawi" ],
[ "20", "Coby", "Johnston", "N6I 2O9", "Rwanda" ],
[ "21", "Gillian", "Strickland", "12258", "Cook Islands" ],
[ "22", "Alfreda", "Mcbride", "K5A 3B6", "Nigeria" ],
[ "23", "Laith", "Ford", "19072", "Czech Republic" ],
[ "24", "Autumn", "Barton", "U9D 9F4", "Angola" ],
[ "25", "Nadine", "Britt", "G4U 8L0", "Liechtenstein" ],
[ "26", "Xaviera", "Hart", "T1N 7D2", "Mali" ],
[ "27", "Neil", "Page", "T3E 9F4", "Korea" ],
[ "28", "Rose", "French", "B7T 8M2", "French Polynesia" ],
[ "29", "Alyssa", "Poole", "S1L 2T5", "Yemen" ],
[ "30", "Chantale", "Lynch", "97316", "United States" ],
[ "31", "Jermaine", "Dawson", "A3H 7A1", "American Samoa" ],
[ "32", "Ann", "Giles", "54258", "Korea" ],
[ "33", "Jerry", "Carr", "04901", "South Georgia and The South Sandwich Islands" ],
[ "34", "Lionel", "Hooper", "67970", "Bahrain" ],
[ "35", "Alyssa", "Hewitt", "R3K 2V8", "Paraguay" ],
[ "36", "Lisandra", "Sheppard", "71886", "Seychelles" ],
[ "37", "Kylan", "Harrison", "96763", "Italy" ],
[ "38", "Kaitlin", "Montgomery", "V5K 5U8", "Niger" ],
[ "39", "Heidi", "Boyd", "B3C 8M9", "Papua New Guinea" ],
[ "40", "Rinah", "Case", "W7M 5K1", "Mali" ],
[ "41", "Thaddeus", "Maynard", "E4V 6W6", "Egypt" ],
[ "42", "Lacota", "Ray", "T3J 8D8", "United Kingdom" ],
[ "43", "Olympia", "Cortez", "F8C 7I5", "Palau" ],
[ "44", "Wendy", "Rojas", "N8T 4K6", "Cook Islands" ],
[ "45", "Arden", "Kelley", "V9N 2T6", "India" ],
[ "46", "Colorado", "Lindsey", "96703", "Chad" ],
[ "47", "Alika", "Weaver", "F6V 1I1", "Bulgaria" ],
[ "48", "Phoebe", "Mack", "E4B 1X2", "El Salvador" ],
[ "49", "Sybill", "Bridges", "Z2G 6A2", "Somalia" ],
[ "50", "Trevor", "Larsen", "K1R 3B9", "United Arab Emirates" ],
[ "51", "Maya", "Battle", "70881", "Australia" ],
[ "52", "Charity", "Walton", "I4I 5R9", "Swaziland" ],
[ "53", "Lane", "Sloan", "79076", "Nauru" ],
[ "54", "Christopher", "Watson", "35116", "Suriname" ],
[ "55", "Clementine", "Shelton", "98232", "Venezuela" ],
[ "56", "Basil", "Hood", "J9I 1R2", "Tonga" ],
[ "57", "Meghan", "Pacheco", "H5Z 6B1", "Dominican Republic" ],
[ "58", "Brennan", "Potts", "51743", "Turkey" ],
[ "59", "Lawrence", "Duran", "63266", "Uruguay" ],
[ "60", "Ina", "Head", "S8P 9J5", "Romania" ],
[ "61", "Castor", "Jacobson", "C9F 6C9", "Albania" ],
[ "62", "Daquan", "Holden", "38571", "Ireland" ],
[ "63", "Donna", "Valencia", "J7B 3I0", "Portugal" ],
[ "64", "Kessie", "Phelps", "61063", "Georgia" ],
[ "65", "Dillon", "Garcia", "13652", "Holy See (Vatican City State)" ],
[ "66", "Russell", "Sweeney", "T8P 2O6", "Saint Kitts and Nevis" ],
[ "67", "Zelda", "Berg", "84946", "Afghanistan" ],
[ "68", "Dexter", "Mann", "73596", "Thailand" ],
[ "69", "Maisie", "Miller", "X3M 6C1", "Seychelles" ],
[ "70", "Lynn", "Mitchell", "N5B 3Z9", "Wallis and Futuna" ],
[ "71", "Gay", "Medina", "66692", "Germany" ],
[ "72", "Olga", "Clark", "M6B 7B6", "Kuwait" ],
[ "73", "Brianna", "Obrien", "Z6Z 5R3", "Bahrain" ],
[ "74", "Daria", "Byers", "R9T 4N7", "Ghana" ],
[ "75", "Chiquita", "Barker", "28435", "Ireland" ],
[ "76", "Gray", "Salazar", "58618", "Chile" ],
[ "77", "Delilah", "Kirby", "42811", "Oman" ],
[ "78", "Xanthus", "Holland", "B8Q 9C4", "Antigua and Barbuda" ],
[ "79", "Reuben", "Brennan", "44693", "Czech Republic" ],
[ "80", "Alden", "Long", "94236", "Slovakia" ],
[ "81", "Blythe", "Bender", "04812", "Guam" ],
[ "82", "Aileen", "Burgess", "47942", "Djibouti" ],
[ "83", "Zeus", "Craig", "43002", "Nicaragua" ],
[ "84", "Jade", "Garza", "F2X 8F3", "New Zealand" ],
[ "85", "Noah", "Barrera", "K9C 8U0", "Malawi" ],
[ "86", "Quyn", "Robertson", "H3X 6J9", "Bosnia and Herzegovina" ],
[ "87", "Serena", "Cabrera", "83671", "Slovenia" ],
[ "88", "Charity", "Chase", "T9Q 7C4", "Solomon Islands" ],
[ "89", "Athena", "Grimes", "62801", "Aruba" ],
[ "90", "Mallory", "Middleton", "D2V 1M5", "Italy" ],
[ "91", "Xenos", "Jones", "46642", "Singapore" ],
[ "92", "Tate", "Gregory", "66538", "Zimbabwe" ],
[ "93", "Blaze", "Taylor", "70282", "Paraguay" ],
[ "94", "Jena", "Duncan", "63057", "Cambodia" ],
[ "95", "Thaddeus", "Chase", "66762", "Netherlands Antilles" ],
[ "96", "Guinevere", "Mcgee", "O9G 4S2", "Lebanon" ],
[ "97", "Kermit", "Ramsey", "41214", "Dominican Republic" ],
[ "98", "Josephine", "Gallagher", "04960", "French Southern Territories" ],
[ "99", "Amela", "Morales", "M9I 1X5", "Sudan" ],
[ "100", "Rina", "Yates", "G3T 7M9", "Dominica" ],
[ "101", "Orson", "Norris", "21660", "Sierra Leone" ],
[ "102", "Graiden", "Silva", "98191", "Saint Lucia" ],
[ "103", "Amaya", "Hood", "45779", "India" ],
[ "104", "Fatima", "Fitzpatrick", "I4R 9Q8", "Viet Nam" ],
[ "105", "Judith", "Stokes", "97596", "Sudan" ],
[ "106", "Jared", "Vaughn", "75521", "Benin" ],
[ "107", "Mira", "Morgan", "35169", "Martinique" ],
[ "108", "Walter", "Perkins", "28618", "San Marino" ],
[ "109", "Megan", "Maxwell", "K6X 3J4", "Oman" ],
[ "110", "Christine", "Christensen", "M7S 8G8", "Netherlands Antilles" ],
[ "111", "Tanner", "Guerra", "S3K 6Y5", "Finland" ],
[ "112", "Meghan", "Rowland", "K7U 3A1", "Rwanda" ],
[ "113", "Patrick", "Mitchell", "V3F 5C4", "Oman" ],
[ "114", "Jackson", "Sanders", "83229", "Greenland" ],
[ "115", "Omar", "Savage", "14082", "Korea" ],
[ "116", "Ulla", "Larsen", "Q2P 4L8", "French Southern Territories" ],
[ "117", "Hop", "Gates", "D9G 9J4", "Poland" ],
[ "118", "Astra", "Mendoza", "R3D 2H9", "Saint Vincent and The Grenadines" ],
[ "119", "Denise", "Cardenas", "73138", "Sao Tome and Principe" ],
[ "120", "Melodie", "Roberts", "L1G 4H2", "India" ],
[ "121", "Cedric", "Joseph", "M4V 8O9", "Korea, Republic of" ],
[ "122", "Linda", "Horn", "24465", "Bosnia and Herzegovina" ],
[ "123", "Mary", "Lyons", "22324", "Norfolk Island" ],
[ "124", "Ciara", "Mcknight", "30784", "Anguilla" ],
[ "125", "Vaughan", "Santiago", "65037", "Guyana" ],
[ "126", "Lamar", "Shepherd", "58040", "France" ],
[ "127", "Xavier", "Webster", "68321", "Afghanistan" ],
[ "128", "Ainsley", "Banks", "46902", "Pakistan" ],
[ "129", "Alika", "Love", "L5O 4B3", "Iran, Islamic Republic of" ],
[ "130", "Maite", "Dickson", "37405", "Saint Kitts and Nevis" ],
[ "131", "Kimberley", "Morrow", "F7C 7J0", "Lebanon" ],
[ "132", "Eugenia", "Stafford", "36282", "Nicaragua" ],
[ "133", "Mira", "Gill", "K1T 8U1", "Uruguay" ],
[ "134", "Herman", "Francis", "C2G 8G9", "Northern Mariana Islands" ],
[ "135", "Veronica", "Peters", "74146", "Cook Islands" ],
[ "136", "Axel", "Cochran", "32240", "Central African Republic" ],
[ "137", "Edan", "Howe", "51862", "Mali" ],
[ "138", "Ignacia", "Bruce", "Q8T 5Q1", "Sao Tome and Principe" ],
[ "139", "Jana", "Mcguire", "89412", "Czech Republic" ],
[ "140", "Alice", "Underwood", "74535", "Slovakia" ],
[ "141", "Tobias", "Kent", "33601", "South Georgia and The South Sandwich Islands" ],
[ "142", "Nasim", "Coleman", "19377", "United States Minor Outlyin
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爬虫(Web Crawler)是一种自动化程序,用于从互联网上收集信息。其主要功能是访问网页、提取数据并存储,以便后续分析或展示。爬虫通常由搜索引擎、数据挖掘工具、监测系统等应用于网络数据抓取的场景。 爬虫的工作流程包括以下几个关键步骤: URL收集: 爬虫从一个或多个初始URL开始,递归或迭代地发现新的URL,构建一个URL队列。这些URL可以通过链接分析、站点地图、搜索引擎等方式获取。 请求网页: 爬虫使用HTTP或其他协议向目标URL发起请求,获取网页的HTML内容。这通常通过HTTP请求库实现,如Python中的Requests库。 解析内容: 爬虫对获取的HTML进行解析,提取有用的信息。常用的解析工具有正则表达式、XPath、Beautiful Soup等。这些工具帮助爬虫定位和提取目标数据,如文本、图片、链接等。 数据存储: 爬虫将提取的数据存储到数据库、文件或其他存储介质中,以备后续分析或展示。常用的存储形式包括关系型数据库、NoSQL数据库、JSON文件等。 遵守规则: 为避免对网站造成过大负担或触发反爬虫机制,爬虫需要遵守网站的robots.txt协议,限制访问频率和深度,并模拟人类访问行为,如设置User-Agent。 反爬虫应对: 由于爬虫的存在,一些网站采取了反爬虫措施,如验证码、IP封锁等。爬虫工程师需要设计相应的策略来应对这些挑战。 爬虫在各个领域都有广泛的应用,包括搜索引擎索引、数据挖掘、价格监测、新闻聚合等。然而,使用爬虫需要遵守法律和伦理规范,尊重网站的使用政策,并确保对被访问网站的服务器负责。
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