[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_11":-5},"routes/user.$name.collections",{"_9":10,"_11":12,"_13":14,"_15":16,"_17":18,"_19":16},"topics",[36],"user",{"_20":21,"_13":14,"_22":23,"_24":25,"_26":27,"_28":29,"_30":31,"_32":33,"_34":35},"loginname","lankeren","page",1,"limit",20,"total","id","10153","avatar_url","http://www.gravatar.com/avatar/a836c751383a850343e6977820fa653f?size=48","githubUsername","","create_at","2013-10-04 01:40:43.754","score",15,"topic_count",0,"reply_count",3,"is_star",false,{"_20":37,"_38":39,"_40":-5,"_41":42,"_43":44,"_45":46,"_47":35,"_48":35,"_32":49,"_50":51,"_26":52,"_53":54},"3031","author_id","345","tab","content","最近要爬取一些商品的评价,然后做一些东西。\r\n电子产品才中关村在线就有很多。\r\n比如 [http://detail.zol.com.cn/332/331058/review.shtml][1]\r\n\r\n\r\n [1]: http://detail.zol.com.cn/332/331058/review.shtml\r\n\r\n之前爬虫也一直在用node，不过只是存在数据库里面，用其他的程序来解析的。\r\n这次想试试用node。如果有类似JQuery的东西就好了，一看还真有（node新手）\r\n一个是jsdom，还有个是cheerio\r\n都试试呗.\r\n直接npm install jsdom\r\n然后。。。然后。。。粗错了。。。\r\n网上搜了下，终于装上了。\r\n还有个cherrio， npm install cheerio\r\n竟然没错。\r\n\r\n那今天就先试试cheerio吧！\r\n\r\n我需要的就是分析出商品评价，好评和差评要分开。\r\n先看看cheerio怎么用把\r\n\r\n var cheerio = require('cheerio'),\r\n $ = cheerio.load('

Hello world

');\r\n $('h2.title').text('Hello there!');\r\n $('h2').addClass('welcome');\r\n $.html();\r\n //=>

Hello there!

\r\n\r\n感觉很简单，确实和JQuery差不多（我也不是很懂JQuery）\r\n分析下中关村在线的页面结构\r\n\r\n

\r\n

优点: 散热比较好不玩游戏不超过30度；处理速度比较好大型游戏秒杀屏幕较大看电影比较爽有小数字键盘电池能用3个小时音质较好

\r\n

缺点: 重量偏重画面显示质量一般情况充电电源口和散热口太近不合理

\r\n

总结: 总体一切良好推荐

\r\n

\r\n\r\n所有评价都是这个结构。所以嘛，接下来的事情就很简单啦。\r\n\r\n $('.comment_content').each(function(){\r\n console.log('good: '+$(this).children('dl').children('.good').next().text());\r\n console.log('bad: '+$(this).children('dl').children('.bad').next().text());\r\n });\r\n\r\n完整的样例代码\r\n\r\n var http = require('http');\r\n var iconv = require('iconv-lite');\r\n var cheerio = require('cheerio');\r\n \r\n url = 'http://detail.zol.com.cn/332/331058/review.shtml'\r\n function parseZOL(data)\r\n {\r\n //console.log(data);\r\n var $ = cheerio.load(data);\r\n //console.log($('.star_overview .nums').text());\r\n $('.comment_content').each(function(){\r\n console.log('good: '+$(this).children('dl').children('.good').next().text());\r\n console.log('bad: '+$(this).children('dl').children('.bad').next().text());\r\n });\r\n }\r\n http.get(url , function(res){\r\n var stack = '';\r\n res.setEncoding('binary');\r\n \r\n res.on('data' , function(d){\r\n stack += d;\r\n }).on('error',function(err){\r\n console.log(err.message);\r\n });\r\n \r\n res.on('end' , function(){\r\n var buf = new Buffer(stack ,'binary');\r\n var data = iconv.decode(buf , 'gbk');\r\n parseZOL(data);\r\n }).on('error',function(err){\r\n console.log(err.message);\r\n })\r\n }).on('error', function(err){\r\n console.log(err.message);\r\n });","title","中关村在线页面解析,node爬虫","last_reply_at","2013-04-10 01:54:24.98","good","top",10,"visit_count",10865,"2013-04-08 05:06:36.871","author",{"_13":55,"_22":56},"x1957","http://www.gravatar.com/avatar/affa770bee36d66d6bcf650396d04fb3?s=48"]