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简介
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爬虫
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任务
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部署
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架构
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Celery
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<!-- Title -->
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<h1>
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<i class="fa fa-circle-o-notch fa-spin"></i>
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<a href="." >简介</a>
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</h1>
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</div>
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<section class="normal markdown-section">
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<h1 id="crawlab">Crawlab</h1>
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<p>基于Celery的爬虫分布式爬虫管理平台，支持多种编程语言以及多种爬虫框架.</p>
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<p><a href="http://139.129.230.98:8080" target="_blank">查看演示 Demo</a></p>
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<p><a href="https://github.com/tikazyq/crawlab/blob/master/README.md" target="_blank">English Documentation</a></p>
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<h2 id="要求">要求</h2>
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<ul>
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<li>Python3</li>
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<li>MongoDB</li>
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<li>Redis</li>
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</ul>
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<h2 id="安装">安装</h2>
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<pre><code class="lang-bash"><span class="hljs-comment"># 安装后台类库</span>
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pip install -r requirements.txt
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</code></pre>
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<pre><code class="lang-bash"><span class="hljs-comment"># 安装前台类库</span>
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<span class="hljs-built_in">cd</span> frontend
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npm install
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</code></pre>
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<h2 id="配置">配置</h2>
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<p>请更改配置文件<code>config.py</code>，配置API和数据库连接.</p>
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<h2 id="快速开始">快速开始</h2>
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<pre><code class="lang-bash"><span class="hljs-comment"># 启动后端API</span>
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python app.py
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<span class="hljs-comment"># 启动Flower服务</span>
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python ./bin/run_flower.py
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<span class="hljs-comment"># 启动worker</span>
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python ./bin/run_worker.py
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</code></pre>
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<pre><code class="lang-bash"><span class="hljs-comment"># 运行前端</span>
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<span class="hljs-built_in">cd</span> frontend
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npm run serve
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</code></pre>
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<h2 id="截图">截图</h2>
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<h4 id="首页">首页</h4>
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<p><img src="img/screenshot-home.png" alt="home"></p>
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<h4 id="爬虫列表">爬虫列表</h4>
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<p><img src="img/screenshot-spiders.png" alt="spider-list"></p>
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<h4 id="爬虫详情---概览">爬虫详情 - 概览</h4>
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<p><img src="img/screenshot-spider-detail-overview.png" alt="spider-list"></p>
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<h4 id="任务详情---抓取结果">任务详情 - 抓取结果</h4>
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<p><img src="img/screenshot-task-detail-results.png" alt="spider-list"></p>
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<h2 id="架构">架构</h2>
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<p>Crawlab的架构跟Celery非常相似，但是加入了包括前端、爬虫、Flower在内的额外模块，以支持爬虫管理的功能。</p>
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<p><img src="img/crawlab-architecture.png" alt="crawlab-architecture"></p>
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<h3 id="节点">节点</h3>
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<p>节点其实就是Celery中的Worker。一个节点运行时会连接到一个任务队列（例如Redis）来接收和运行任务。所有爬虫需要在运行时被部署到节点上，用户在部署前需要定义节点的IP地址和端口。</p>
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<h3 id="爬虫">爬虫</h3>
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<h5 id="自动发现">自动发现</h5>
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<p>在<code>config.py</code>文件中，修改变量<code>PROJECT_SOURCE_FILE_FOLDER</code>作为爬虫项目所在的目录。Crawlab后台程序会自动发现这些爬虫项目并储存到数据库中。是不是很方便？</p>
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<h5 id="部署爬虫">部署爬虫</h5>
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<p>所有爬虫需要在抓取前被部署当相应当节点中。在"爬虫详情"页面点击"Deploy"按钮，爬虫将被部署到所有有效到节点中。</p>
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<h5 id="运行爬虫">运行爬虫</h5>
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<p>部署爬虫之后，你可以在"爬虫详情"页面点击"Run"按钮来启动爬虫。一个爬虫任务将被触发，你可以在任务列表页面中看到这个任务。</p>
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<h3 id="任务">任务</h3>
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<p>任务被触发并被节点执行。用户可以在任务详情页面中看到任务到状态、日志和抓取结果。</p>
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<h3 id="后台应用">后台应用</h3>
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<p>这是一个Flask应用，提供了必要的API来支持常规操作，例如CRUD、爬虫部署以及任务运行。每一个节点需要启动Flask应用来支持爬虫部署。运行<code>python manage.py app</code>或<code>python ./bin/run_app.py</code>来启动应用。</p>
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<h3 id="中间者">中间者</h3>
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<p>中间者跟Celery中定义的一样，作为运行异步任务的队列。</p>
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<h3 id="前端">前端</h3>
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<p>前端其实就是一个基于<a href="https://github.com/PanJiaChen/vue-element-admin" target="_blank">Vue-Element-Admin</a>的单页应用。其中重用了很多Element-UI的控件来支持相应的展示。</p>
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<h2 id="与其他框架的集成">与其他框架的集成</h2>
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<p>任务是利用python的<code>subprocess</code>模块中的<code>Popen</code>来实现的。任务ID将以环境变量<code>CRAWLAB_TASK_ID</code>的形式存在于爬虫任务运行的进程中，并以此来关联抓取数据。</p>
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<p>在你的爬虫程序中，你需要将<code>CRAWLAB_TASK_ID</code>的值以<code>task_id</code>作为可以存入数据库中。这样Crawlab就直到如何将爬虫任务与抓取数据关联起来了。当前，Crawlab只支持MongoDB。</p>
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<h3 id="scrapy">Scrapy</h3>
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<p>以下是Crawlab跟Scrapy集成的例子，利用了Crawlab传过来的task_id和collection_name。</p>
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<pre><code class="lang-python"><span class="hljs-keyword">import</span> os
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<span class="hljs-keyword">from</span> pymongo <span class="hljs-keyword">import</span> MongoClient
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MONGO_HOST = <span class="hljs-string">'192.168.99.100'</span>
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MONGO_PORT = <span class="hljs-number">27017</span>
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MONGO_DB = <span class="hljs-string">'crawlab_test'</span>
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<span class="hljs-comment"># scrapy example in the pipeline</span>
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<span class="hljs-class"><span class="hljs-keyword">class</span> <span class="hljs-title">JuejinPipeline</span><span class="hljs-params">(object)</span>:</span>
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mongo = MongoClient(host=MONGO_HOST, port=MONGO_PORT)
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db = mongo[MONGO_DB]
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col_name = os.environ.get(<span class="hljs-string">'CRAWLAB_COLLECTION'</span>)
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<span class="hljs-keyword">if</span> <span class="hljs-keyword">not</span> col_name:
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col_name = <span class="hljs-string">'test'</span>
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col = db[col_name]
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<span class="hljs-function"><span class="hljs-keyword">def</span> <span class="hljs-title">process_item</span><span class="hljs-params">(self, item, spider)</span>:</span>
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item[<span class="hljs-string">'task_id'</span>] = os.environ.get(<span class="hljs-string">'CRAWLAB_TASK_ID'</span>)
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self.col.save(item)
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<span class="hljs-keyword">return</span> item
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</code></pre>
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<h2 id="与其他框架比较">与其他框架比较</h2>
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<p>限制以及有一些爬虫管理框架了，因此为啥还要用Crawlab？</p>
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<p>因为很多现有当平台都依赖于Scrapyd，限制了爬虫的编程语言以及框架，爬虫工程师只能用scrapy和python。当然，scrapy是非常优秀的爬虫框架，但是它不能做一切事情。</p>
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<p>Crawlab使用起来很方便，也很通用，可以适用于几乎任何主流语言和框架。它还有一个精美的前端界面，让用户可以方便的管理和运行爬虫。</p>
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<table>
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<thead>
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<tr>
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<th style="text-align:center">框架</th>
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<th style="text-align:center">类型</th>
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<th style="text-align:center">分布式</th>
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<th style="text-align:center">前端</th>
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<th style="text-align:center">依赖于Scrapyd</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td style="text-align:center"><a href="https://github.com/tikazyq/crawlab" target="_blank">Crawlab</a></td>
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<td style="text-align:center">管理平台</td>
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<td style="text-align:center">Y</td>
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<td style="text-align:center">Y</td>
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<td style="text-align:center">N</td>
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</tr>
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<tr>
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<td style="text-align:center"><a href="https://github.com/Gerapy/Gerapy" target="_blank">Gerapy</a></td>
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<td style="text-align:center">管理平台</td>
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<td style="text-align:center">Y</td>
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<td style="text-align:center">Y</td>
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<td style="text-align:center">Y</td>
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</tr>
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<tr>
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<td style="text-align:center"><a href="https://github.com/DormyMo/SpiderKeeper" target="_blank">SpiderKeeper</a></td>
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<td style="text-align:center">管理平台</td>
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<td style="text-align:center">Y</td>
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<td style="text-align:center">Y</td>
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<td style="text-align:center">Y</td>
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</tr>
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<tr>
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<td style="text-align:center"><a href="https://github.com/my8100/scrapydweb" target="_blank">ScrapydWeb</a></td>
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<td style="text-align:center">管理平台</td>
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<td style="text-align:center">Y</td>
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<td style="text-align:center">Y</td>
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<td style="text-align:center">Y</td>
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</tr>
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<tr>
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<td style="text-align:center"><a href="https://github.com/scrapy/scrapyd" target="_blank">Scrapyd</a></td>
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<td style="text-align:center">网络服务</td>
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<td style="text-align:center">Y</td>
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<td style="text-align:center">N</td>
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<td style="text-align:center">N/A</td>
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</tr>
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</tbody>
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</table>
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<h2 id="todos">TODOs</h2>
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<h5 id="后端">后端</h5>
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<ul>
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<li>[ ] 文件管理</li>
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<li>[ ] MySQL数据库支持</li>
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<li>[ ] 重跑任务</li>
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<h5 id="前端">前端</h5>
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<ul>
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<li>[ ] 任务数据统计</li>
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<li>[x] 多语言支持 (中文)</li>
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<li>[ ] 登录和用户管理</li>
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