作業要求：
選擇簡書解密大數據專題里面上次爬蟲課的作業文檔地址作為分析頁面，分析并提交該頁面的網頁結構分析與元素標簽位置信息。
上次作業鏈接 http://www.lxweimin.com/p/7e2fccb4fad9
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<h1 class="title">爬蟲課程作業01-解密大數據社群</h1>
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<span class="name"><a href="/u/40cc6159e5ad">在旅途的車</a></span>
文章基本信息，包括更新時間、字數、閱讀數量、評論數量、喜歡數量等等
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<span class="publish-time" data-toggle="tooltip" data-placement="bottom" title="" data-original-title="最后編輯于 2017.07.04 00:29">2017.07.04 00:26*</span>
<span class="wordage">字數 387</span>
<span class="views-count">閱讀 33</span><span class="comments-count">評論 2</span><span class="likes-count">喜歡 2</span></div>
文章主體內容：
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<div class="image-caption">glenn-carstens-peters-203007.jpg</div>
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<p>最近對金融行業的就業情況比較感興趣，準備從領英網站獲取一些數據，做一些分析。</p>
<p>一、要爬取的數據類別</p>
<p>領英網站金融行業的職位數據，包括公司名稱、職位名稱、薪酬范圍、職位要求</p>
<p>二、對應的數據源網站</p>
<p>領英網址 www.linkedin.com</p>
<p>三、爬取數據的URL</p>
<p><a target="_blank">https://www.linkedin.com/jobs/search/?keywords=audit&location=%E5%85%A8%E7%90%83&locationId=OTHERS.worldwide</a></p>
<p>四、數據篩選規則</p>
<p>根據職位的類別、招聘公司、職位所在地域、職位對應工作年限的要求、發布日期、職位要求、薪酬范圍等維度，對爬取的數據進行篩選和分析，希望獲得以下結論：</p>
<p>某個特定職位的薪酬水平及變化趨勢，判斷該職位的稀缺程度和就業概率；</p>
<p>某個特定職位的地域分布情況，提供自己發展的區域選擇參考依據；</p>
<p>某個特定職位在不同行業的分布情況，和對應的薪酬水平，以審計（audit）為例，該職位具備一定的行業共性，但是不同行業、同一個職位薪酬水平不同，可以為自己做職業轉換提供參考；</p>
<p>某個特定職位的工作要求，為自己的職業發展和技能培訓提供指導性意見。</p>
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<a class="title" href="/u/40cc6159e5ad">在旅途的車</a>
<p>寫了 39662 字，被 26 人關注，獲得了 35 個喜歡</p></div>
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