沒什麼

去年意識頭腦發熱（我常常這樣），想利用gayhub和node作一個項目。

大概的想法是，利用nodejs爬取各大招聘網站的招聘需求，而後再用d3.js和github主頁功能根據日期來展現各類統計圖表出來。

自動爬取是沒有思路的，因此當時的思路是每週手動爬取數據，生成json上傳到gayhub的主頁repo裏面去，頁面裏面根據日期去判斷獲取哪個星期的數據。

數據初步的爬取到了，而後後面因爲衆多緣由，我沒有繼續進行下去，固然，這只是爲個人三分發熱找的藉口。

如下是爬取lagou數據的主要文件，如今還能不能用我也懶的去試驗，以此備忘順道更新blog。

var superagent = require("superagent");
var cheerio = require("cheerio");
var async = require("async");

var fs = require("fs");
var path = require("path");

var rootUrl = "https://www.lagou.com";

var $;
var locations = [encodeURI('全國'),encodeURI('北京'),encodeURI('上海'),encodeURI('杭州'),encodeURI('廣州'),encodeURI('深圳'),encodeURI('成都')];
var content = '';
//for test only
/**/
fs.readFile('./result/class_1481010149483.txt',(err, data) => {
  if( err ) console.error(err);
  parse(data);
});
/**//*
scrawlLocation(0);
function scrawlLocation(index){
  superagent
    .get(rootUrl)
    .set("index_location_city",locations[index])
    .end(function(err, res){
      file = fs.createWriteStream("./result/class_"+Date.now()+".txt");
      console.log(locations[index]);
      parse(res.text,locations[index]);
      file.write(res.text);
      file.end();
      if( index + 1 < locations.length){
        scrawlLocation(index+1);
      }
  });
}
/**/

/**/
var today = new Date();
var curDir;
function parse(content,currentLocation){
  var dataPool = {};
  var file;
  var todayStr = today.getFullYear()+"-"+today.getMonth()+"-"+today.getDate();
  curDir = "./result/"+todayStr+"/";
  if( !fs.existsSync(curDir)){
    fs.mkdirSync(curDir);

    file = fs.createWriteStream("./result/config.js");
    file.write("var revision = "+todayStr+";");
    file.end();
  }

  $ = cheerio.load(content,{ignoreWhitespace: true});
  var mainClass;
  var secondClass;
  var classData;
  $('div[class="menu_box"]').each(function(k,v){
    //console.log("====================");
    mainClass = parserMainClass(v);//menu_main job_hopping
    //file = fs.createWriteStream(curDir+mainClass+".json");
    classData = [];
    
    parseSecondClass($(v).children()[1], classData);//menu_sub dn

    dataPool[mainClass] = classData;

    //file.write(JSON.stringify(classData));
    //file.end();
  });
  
  file = fs.createWriteStream(curDir+decodeURI(currentLocation)+".json");
  file.write(JSON.stringify(dataPool));
  file.end();
  
  startScrawlCount(curDir);
}

function parserMainClass(value){
  var h2Item = $(value).children().children()[0];
  var title = h2Item.children[0].data;
  return title.trim();
}

function parseSecondClass(value, classArr){
  var item;
  var arr = value.children;
  var len = arr.length;
  var data,len1,arr1,item1,len2,arr2,item2;
  //console.log("*****************************");
  for(var i = 0 ; i < len ; i++){//dl
    item = arr[i];
    if( item.type === "text") continue;
    //console.log("1~~~~~~~~~~~~~~~~~~~~~~~~~~");
    //console.log(item);
    arr1 = item.children;
    len1 = arr1.length;
    for(var j = 0; j < len1; j++){
      item1 = arr1[j];
      if( item1.type === "text") continue;
      //console.log("2 ~~~~~~~~~~~~~~~~~~~~~~~~~~");
      //console.log(item1);
      if( item1.name === "dt"){
        item1 = item1.children[1];
        //console.log("3~~~~~~~~~~~~~~~~~~~~~~~~~~");
        //console.log(item1);
        data = {};
        data.name = item1.children[0].data;
        data.isMain = 1;
        data.href = item1.attribs["href"].substring(2);
        data.dataLgTjId = item1.attribs["data-lg-tj-id"];
        data.dataLgTjNo = item1.attribs["data-lg-tj-no"];
        data.dataLgTjCid = item1.attribs["data-lg-tj-cid"];
        classArr.push(data);
        //console.log(item1.children[0].data,item1.attribs["href"],item1.attribs["data-lg-tj-id"],item1.attribs["data-lg-tj-no"],item1.attribs["data-lg-tj-cid"]);
      }else if( item1.name === "dd"){
        //console.log("4~~~~~~~~~~~~~~~~~~~~~~~~~~");
        arr2 = item1.children;
        len2 = arr2.length;
        for( var k = 0; k < len2; k++){
          item2 = arr2[k];
          if( item2.type === "text") continue;
          data = {};
          //console.log("5~~~~~~~~~~~~~~~~~~~~~~~~~~");
          //console.log(item2);
          data.name = item2.children[0].data;
          data.isMain = 0;
          data.href = item2.attribs["href"].substring(2);
          data.dataLgTjId = item2.attribs["data-lg-tj-id"];
          data.dataLgTjNo = item2.attribs["data-lg-tj-no"];
          data.dataLgTjCid = item2.attribs["data-lg-tj-cid"];
          classArr.push(data);
          //console.log(item2.children[0].data,item2.attribs["href"],item2.attribs["data-lg-tj-id"],item2.attribs["data-lg-tj-no"],item2.attribs["data-lg-tj-cid"]);
        }
      }
    }
  }
}

const JOB_PER_PAGE = 15;

function startScrawlCount(dir){
  var files = fs.readdirSync(dir);
  //files.forEach(function(file){
    scrawlFile(files,0,dir);
  //});
  
}

function scrawlFile(files, index,dir){//city
  var file = files[index];
  var location = encodeURI(file.split(".")[0]);
  var data;
  fs.readFile(dir+file,{encoding:'utf8',flag:"r+"},(err, content) =>{
    if( err ) console.error(err);

    data = JSON.parse(content);
    var total = 0;
    var complete = 0;
    for (var k in data){
      total++;
      var tarr = data[k];
      var completeCnt = 0;
      async.eachLimit(tarr,3,function(item, callback){
        superagent
          .get(item.href)
          .set("index_location_city",location)
          .end(function(err, res){
            if( err ) console.error(err);

            $ = cheerio.load(res.text);
            console.log(item.href);
            var arr = $("#tab_pos").text().match(/\d+[+]?/);
            if( arr.length != 0){
              var countStr = arr[0];
              if(countStr.indexOf("+") == -1){
                item.count = parseInt(countStr);
              }else{
                var arr1 = $(".page_no");
                var maxIndex = 1;
                var tempIndex;
                var len = arr1.length
                var pageItem;
                for(var i = 0; i < arr1.length; i++){
                  pageItem = arr1[i];
                  tempIndex = parseInt(pageItem.attribs["data-index"]);
                  maxIndex = tempIndex > maxIndex ? tempIndex : maxIndex;
                }
                item.count = maxIndex * JOB_PER_PAGE;
              }
            }
            completeCnt++;
            callback(err, res);
          });
      },function(err){
        if( err ) console.error(err);
        complete++;
        console.log(files[index]+":"+complete+"/"+total);
        if( complete == total){
          var wfile = fs.createWriteStream(dir+file);
          wfile.write(JSON.stringify(data));
          wfile.end();
          if( index+1 < files.length){
            scrawlFile(files,index+1,dir);
          }
        }
      });
    }

    return;
    var completeCnt = 0;
    async.eachLimit(data,3,function(item, callback){
      superagent
        .get(item.href)
        .set("index_location_city","%E5%8C%97%E4%BA%AC")
        .end(function(err, res){
          
          if( err ) console.error(err);

          $ = cheerio.load(res.text);
          console.log(item.href);
          var arr = $("#tab_pos").text().match(/\d+[+]?/);
          if( arr.length != 0){
            var countStr = arr[0];
            if(countStr.indexOf("+") == -1){
              item.count = parseInt(countStr);
              //console.log(item.count);
            }else{
              var arr1 = $(".page_no");
              var maxIndex = 1;
              var tempIndex;
              var len = arr1.length
              var pageItem;
              for(var i = 0; i < arr1.length; i++){
                pageItem = arr1[i];
                tempIndex = parseInt(pageItem.attribs["data-index"]);
                maxIndex = tempIndex > maxIndex ? tempIndex : maxIndex;
              }
              //console.log("Count",countStr,"Page:",maxIndex);
              item.count = maxIndex * JOB_PER_PAGE;
            }
          }
          completeCnt++;
          //console.log(completeCnt+"/"+data.length);
          callback(err, res);
        });
    },function(err){
      if( err ) console.error(err);

      console.log("hehe");
      var wfile = fs.createWriteStream(dir+file);
      wfile.write(JSON.stringify(data));
      wfile.end();
    });
  });
}

app.js

這個是npm依賴文件：

{
  "name": "node-crawl",
  "version": "1.0.0",
  "description": "",
  "main": "app.js",
  "scripts": {
    "test": "echo \"Error: no test specified\" && exit 1"
  },
  "keywords": [],
  "author": "",
  "license": "ISC",
  "dependencies": {
    "asyn": "0.0.1",
    "async": "^2.1.4",
    "cheerio": "^0.22.0",
    "express": "^4.14.0",
    "superagent": "^3.1.0"
  }
}

package.json

這個是當初爬到的數據的樣子：

 

感受本身好沒羞恥