你说对匹配“僵尸”用户代理可能是尴尬的,但我们发现这是一个相当不错的比赛。 我们的研究表明,它会覆盖您收到的点击约98%。 我们还没有碰到任何误报匹配但无论是。 如果你想提高这个高达99.9%,可以包括其他一些知名的赛事,如“履带式”,“baiduspider”,“ia_archiver”,“袅袅”等等。我们已经在我们的生产系统在测试数百万本的命中。
这里为大家介绍一些C#的解决方案:
1)最简单的
是最快的处理小姐时。 即从非漫游器的流量 - 普通用户。 抓住爬虫的99 +%。
bool iscrawler = Regex.IsMatch(Request.UserAgent, @"bot|crawler|baiduspider|80legs|ia_archiver|voyager|curl|wget|yahoo! slurp|mediapartners-google", RegexOptions.IgnoreCase);
2)培养基
是最快的处理击中时。 即从一个机器人的流量。 蛮快的失误太多。 捕捞量接近爬虫的100%。 匹配“机器人”,“履带”,“蜘蛛”的前期。 您可以添加到任何其他已知的爬虫。
List<string> Crawlers3 = new List<string>()
{
"bot","crawler","spider","80legs","baidu","yahoo! slurp","ia_archiver","mediapartners-google",
"lwp-trivial","nederland.zoek","ahoy","anthill","appie","arale","araneo","ariadne",
"atn_worldwide","atomz","bjaaland","ukonline","calif","combine","cosmos","cusco",
"cyberspyder","digger","grabber","downloadexpress","ecollector","ebiness","esculapio",
"esther","felix ide","hamahakki","kit-fireball","fouineur","freecrawl","desertrealm",
"gcreep","golem","griffon","gromit","gulliver","gulper","whowhere","havindex","hotwired",
"htdig","ingrid","informant","inspectorwww","iron33","teoma","ask jeeves","jeeves",
"image.kapsi.net","kdd-explorer","label-grabber","larbin","linkidator","linkwalker",
"lockon","marvin","mattie","mediafox","merzscope","nec-meshexplorer","udmsearch","moget",
"motor","muncher","muninn","muscatferret","mwdsearch","sharp-info-agent","webmechanic",
"netscoop","newscan-online","objectssearch","orbsearch","packrat","pageboy","parasite",
"patric","pegasus","phpdig","piltdownman","pimptrain","plumtreewebaccessor","getterrobo-plus",
"raven","roadrunner","robbie","robocrawl","robofox","webbandit","scooter","search-au",
"searchprocess","senrigan","shagseeker","site valet","skymob","slurp","snooper","speedy",
"curl_image_client","suke","www.sygol.com","tach_bw","templeton","titin","topiclink","udmsearch",
"urlck","valkyrie libwww-perl","verticrawl","victoria","webscout","voyager","crawlpaper",
"webcatcher","t-h-u-n-d-e-r-s-t-o-n-e","webmoose","pagesinventory","webquest","webreaper",
"webwalker","winona","occam","robi","fdse","jobo","rhcs","gazz","dwcp","yeti","fido","wlm",
"wolp","wwwc","xget","legs","curl","webs","wget","sift","cmc"
};
string ua = Request.UserAgent.ToLower();
bool iscrawler = Crawlers3.Exists(x => ua.Contains(x));
3)偏执
是相当快,但比选择1和2。这是最准确的,并允许你,如果你想保持列表慢一点。 如果你怕将来误报你可以保持与他们“机器人”名称的单独列表。 如果我们得到一个简短的比赛我们会记录并检查它的假阳性。
// crawlers that have 'bot' in their useragent
List<string> Crawlers1 = new List<string>()
{
"googlebot","bingbot","yandexbot","ahrefsbot","msnbot","linkedinbot","exabot","compspybot",
"yesupbot","paperlibot","tweetmemebot","semrushbot","gigabot","voilabot","adsbot-google",
"botlink","alkalinebot","araybot","undrip bot","borg-bot","boxseabot","yodaobot","admedia bot",
"ezooms.bot","confuzzledbot","coolbot","internet cruiser robot","yolinkbot","diibot","musobot",
"dragonbot","elfinbot","wikiobot","twitterbot","contextad bot","hambot","iajabot","news bot",
"irobot","socialradarbot","ko_yappo_robot","skimbot","psbot","rixbot","seznambot","careerbot",
"simbot","solbot","mail.ru_bot","spiderbot","blekkobot","bitlybot","techbot","void-bot",
"vwbot_k","diffbot","friendfeedbot","archive.org_bot","woriobot","crystalsemanticsbot","wepbot",
"spbot","tweetedtimes bot","mj12bot","who.is bot","psbot","robot","jbot","bbot","bot"
};
// crawlers that don't have 'bot' in their useragent
List<string> Crawlers2 = new List<string>()
{
"baiduspider","80legs","baidu","yahoo! slurp","ia_archiver","mediapartners-google","lwp-trivial",
"nederland.zoek","ahoy","anthill","appie","arale","araneo","ariadne","atn_worldwide","atomz",
"bjaaland","ukonline","bspider","calif","christcrawler","combine","cosmos","cusco","cyberspyder",
"cydralspider","digger","grabber","downloadexpress","ecollector","ebiness","esculapio","esther",
"fastcrawler","felix ide","hamahakki","kit-fireball","fouineur","freecrawl","desertrealm",
"gammaspider","gcreep","golem","griffon","gromit","gulliver","gulper","whowhere","portalbspider",
"havindex","hotwired","htdig","ingrid","informant","infospiders","inspectorwww","iron33",
"jcrawler","teoma","ask jeeves","jeeves","image.kapsi.net","kdd-explorer","label-grabber",
"larbin","linkidator","linkwalker","lockon","logo_gif_crawler","marvin","mattie","mediafox",
"merzscope","nec-meshexplorer","mindcrawler","udmsearch","moget","motor","muncher","muninn",
"muscatferret","mwdsearch","sharp-info-agent","webmechanic","netscoop","newscan-online",
"objectssearch","orbsearch","packrat","pageboy","parasite","patric","pegasus","perlcrawler",
"phpdig","piltdownman","pimptrain","pjspider","plumtreewebaccessor","getterrobo-plus","raven",
"roadrunner","robbie","robocrawl","robofox","webbandit","scooter","search-au","searchprocess",
"senrigan","shagseeker","site valet","skymob","slcrawler","slurp","snooper","speedy",
"spider_monkey","spiderline","curl_image_client","suke","www.sygol.com","tach_bw","templeton",
"titin","topiclink","udmsearch","urlck","valkyrie libwww-perl","verticrawl","victoria",
"webscout","voyager","crawlpaper","wapspider","webcatcher","t-h-u-n-d-e-r-s-t-o-n-e",
"webmoose","pagesinventory","webquest","webreaper","webspider","webwalker","winona","occam",
"robi","fdse","jobo","rhcs","gazz","dwcp","yeti","crawler","fido","wlm","wolp","wwwc","xget",
"legs","curl","webs","wget","sift","cmc"
};
string ua = Request.UserAgent.ToLower();
string match = null;
if (ua.Contains("bot")) match = Crawlers1.FirstOrDefault(x => ua.Contains(x));
else match = Crawlers2.FirstOrDefault(x => ua.Contains(x));
if (match != null && match.Length < 5) Log("Possible new crawler found: ", ua);
bool iscrawler = match != null;
笔记:
- 人们很容易将名称只保留给正则表达式选项1.但是,如果你做到这一点会越来越慢。 如果你想有一个更完整的列表,然后用LINQ拉姆达更快。
- 确保.ToLower()是你的LINQ方法之外 - 记法是一个循环,你会在每次迭代过程中修改字符串。
- 始终把最重的机器人在列表的开始,所以它们匹配越快。
- 把列表成为一个静态类,以便它们不会在每次浏览量重建。
蜜罐
这个唯一真正的选择是建立在您的网站“蜜罐”的链接,只有一个机器人将达到。 然后,您登录击中蜜罐页面数据库中的用户代理字符串。 然后,您可以使用这些记录的字符串进行分类爬虫。
Postives:
它将匹配未宣布自己一些不为人知的爬虫。
Negatives:
并不是所有的履带挖得足够深,达到您的网站上的每一个环节,所以他们可能不会达到你的蜜罐。