cheerio, sanitize-html 설치 및 네이버 채용정보 데이터를 받아와서, 항목별로 나누기 까지 구현

+const express = require('express')
+const router = express.Router()
+
+const puppeteer = require('puppeteer')
+const cheerio = require('cheerio')
+const sanitizeHtml =require('sanitize-html')
+
+const splitData = (string)=>{
+    return string.replace(/(<([^>]+)>)*(\\t)?/gi, "").split("\t").filter((ele)=> ele != '')
+}
+
+const makeObject = (array)=>{
+    const result = [];
+    for(let i of array){
+        result.push(splitData(i))
+    }
+
+    return result
+}
+
+router.get('/', (req, res, error)=>{
+    res.send("naver home")
+})
+
+router.get('/recruitment', async (req, res, error)=>{
+    const browser = await puppeteer.launch();
+    const page = await browser.newPage();
+
+    await page.goto('https://recruit.navercorp.com/naver/job/list/developer')
+    let content = await page.content()
+    let temp = null;
+    while(true){
+        if (temp == content) break;
+        else{
+            temp = await page.content()
+            await page.click('#moreDiv > button').catch((error)=>{
+                
+            })
+            await page.waitForTimeout(300)
+            content = await page.content()
+        }
+    }
+    let $ = cheerio.load(content, {decodeEntities: true})
+
+    const selector = '#jobListDiv > ul > li'
+
+    let result = sanitizeHtml($(selector), {
+        parser : {
+            decodeEntities: true
+        }
+    })
+    resArr = result.split('</li><li>')
+    result = makeObject(resArr)
+    console.log(result)
+    res.send(result)
+})
+
+
+module.exports = router
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