Deploying Scrapy spider on ScrapingHub

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<span>Report</span> </div> </div>  </div> <div class="article--viewer_Gnews tooltip"> <a class="three_dot_dropdown_inner_div Gnews_wrapper" href ='https://news.google.com/publications/CAAqBwgKMLTrzwsw44bnAw?hl=en-IN&gl=IN&ceid=IN%3Aen' target="_blank"> <img class="gfg-icon_Gnews no-zoom-in-cursor" src=https://media.geeksforgeeks.org/auth-dashboard-uploads/Google-news.svg loading="lazy" alt="News"></img> <span class='kebab_menu_news_text'>Follow</span> </a> </div> </div> </div> <div class="text"> <p><b>What is ScrapingHub ?</b></p> <p>Scrapy is an open source framework for web-crawling. This framework is written in python and originally made for web scraping. Web scraping can also be used to extract data using API. ScrapingHub provides the whole service to crawl the data from web pages, even for complex web pages.</p> <p><b>Why ScrapingHub ?</b></p> <p>Let’s say a website which gives 1-input field and in return one get response based on the search query. The motive is to get all the data by entering input and getting response. Now this input field can have numbers from “0000” string to “9999” string, so in short, need to give 10000 inputs so that one can get all results from website. Now for each request let’s say for “0000”, it will take 4 – 5 minutes and in response you will get 1000+ fields of data. It can vary because at the end, the website will return all the data whose numbers ends with “0000” and for website it takes time to query and return it. So if we do some little maths, then, 10000 * 5 = 50000 minutes, which means 35-days approx.</p> <p>So for starters, one can use mechanize module of Python 2.7 and query it but at the end, it needs 35 days to complete this by running the PC/laptop non-stop. The other solution is one can use Multi-threading and Multiprocessing to avoid such scenario but saving data in organized way and to overcome this complexity will take a lot of time. But using <strong>Scrapy </strong> will save a huge amount of time. Still, we need to run this script for at least 1-3 days because we are talking about scraping millions of data. So to overcome this problem, the best available option is to take help of <strong>ScrapingHub</strong>.</p> <p>ScrapingHub provides features to deploy the Scrapy spider on cloud and execute it. In return, it will run our spider for 24 hours (free user) or 7 days (for paid) which is worth doing it. So that’s why one can use ScrapingHub to save time and cost of doing it.</p> <h4>How to do this :</h4> <p><b>Step 1: Creating Spider in local machine</b></p> <p>In <a href="https://www.geeksforgeeks.org/implementing-web-scraping-python-scrapy/" rel="noopener" target="_blank">previous article</a>, we created a simple spider to crawl the webpage and get all the URLs present on that website. Likewise, simply added one extra feature, which will avoid scraping duplicate url by maintaining set in the script and cross-checking before adding it.</p> <div class="code-block"> <div class="code-gutter"> <div class="editor-buttons-container"> <div class="editor-buttons"> <div class="editor-buttons-div" title="Run and Edit"> <i id="copy-code-button" title="Copy Code" class="gfg-icon gfg-icon_copy code-sidebar-button padding-2px copy-code-button"></i></p> <div id = "run-and-edit-loader" class="ring-load"></div> <p> <i id="run-and-edit-button" title="Edit Code" lang="python3" class="gfg-icon gfg-icon_edit_1 padding-2px code-sidebar-button"></i><br /> <i id="close-code-editor-button" title="Close Editor" class="gfg-icon gfg-icon_close-editor padding-2px code-sidebar-button close-code-editor-button"></i></p> <div id = "run-code-loader" class="ring-load"></div> <p> <i id="run-code-button" lang="python3" title="Run Code and See Output" class="gfg-icon gfg-icon_play padding-2px code-sidebar-button"></i></p> <div id = "generate-url-loader" class="ring-load"></div> <p> <i id="generate-url-and-run-button" title="Run Code and Generate IDE URL" lang="python3" class="gfg-icon gfg-icon_link padding-2px code-sidebar-button generate-url-and-run-button"></i><br /> <i title="Dark Mode" class="gfg-icon gfg-icon_dark-toggle padding-2px code-sidebar-button dark-editor-button"></i><br /> <i id = "edit-on-ide-button" title="Edit on IDE" lang="python3" class="gfg-icon gfg-icon_code padding-2px code-sidebar-button edit-on-ide-button"></i> </div> </p></div> </p></div> </p></div> <div class= "code-container"> <div id="highlighter_356953" class="syntaxhighlighter nogutter "> <table border="0" cellpadding="0" cellspacing="0"> <tbody> <tr> <td class="code"> <div class="container"> <div class="line number1 index0 alt2"><code class="comments"># importing scrapy module </code></div> <div class="line number2 index1 alt1"><code class="keyword">import</code> <code class="plain">scrapy </code></div> <div class="line number3 index2 alt2"><code class="undefined spaces"> </code> </div> <div class="line number4 index3 alt1"><code class="undefined spaces"> </code> </div> <div class="line number5 index4 alt2"><code class="keyword">class</code> <code class="plain">ExtractUrls(scrapy.Spider): </code></div> <div class="line number6 index5 alt1"><code class="undefined spaces">     </code> </div> <div class="line number7 index6 alt2"><code class="undefined spaces">    </code><code class="comments"># Name of the spider </code></div> <div class="line number8 index7 alt1"><code class="undefined spaces">    </code><code class="plain">crawled </code><code class="keyword">=</code> <code class="functions">set</code><code class="plain">() </code></div> <div class="line number9 index8 alt2"><code class="undefined spaces">     </code> </div> <div class="line number10 index9 alt1"><code class="undefined spaces">    </code><code class="comments"># Set to avoiding duplicate url </code></div> <div class="line number11 index10 alt2"><code class="undefined spaces">    </code><code class="plain">name </code><code class="keyword">=</code> <code class="string">"extract"</code></div> <div class="line number12 index11 alt1"><code class="undefined spaces"> </code> </div> <div class="line number13 index12 alt2"><code class="undefined spaces">    </code><code class="keyword">def</code> <code class="plain">start_requests(</code><code class="color1">self</code><code class="plain">): </code></div> <div class="line number14 index13 alt1"><code class="undefined spaces"> </code> </div> <div class="line number15 index14 alt2"><code class="undefined spaces">        </code><code class="comments"># Starting url mentioned </code></div> <div class="line number16 index15 alt1"><code class="undefined spaces">        </code><code class="plain">urls </code><code class="keyword">=</code> <code class="plain">[</code><code class="string">'<a href="https://www.geeksforgeeks.org">https://www.geeksforgeeks.org</a>'</code><code class="plain">, ] </code></div> <div class="line number17 index16 alt2"><code class="undefined spaces">        </code><code class="keyword">for</code> <code class="plain">url </code><code class="keyword">in</code> <code class="plain">urls: </code></div> <div class="line number18 index17 alt1"><code class="undefined spaces">            </code><code class="keyword">yield</code> <code class="plain">scrapy.Request(url </code><code class="keyword">=</code> <code class="plain">url, </code></div> <div class="line number19 index18 alt2"><code class="undefined spaces">                     </code><code class="plain">callback </code><code class="keyword">=</code> <code class="color1">self</code><code class="plain">.parse) </code></div> <div class="line number20 index19 alt1"><code class="undefined spaces"> </code> </div> <div class="line number21 index20 alt2"><code class="undefined spaces">    </code><code class="keyword">def</code> <code class="plain">parse(</code><code class="color1">self</code><code class="plain">, response): </code></div> <div class="line number22 index21 alt1"><code class="undefined spaces">        </code><code class="plain">title </code><code class="keyword">=</code> <code class="plain">response.css(</code><code class="string">'title::text'</code><code class="plain">).extract_first() </code></div> <div class="line number23 index22 alt2"><code class="undefined spaces">        </code><code class="plain">links </code><code class="keyword">=</code> <code class="plain">response.css(</code><code class="string">'a::attr(href)'</code><code class="plain">).extract() </code></div> <div class="line number24 index23 alt1"><code class="undefined spaces">        </code><code class="keyword">for</code> <code class="plain">link </code><code class="keyword">in</code> <code class="plain">links: </code></div> <div class="line number25 index24 alt2"><code class="undefined spaces">            </code><code class="keyword">yield</code></div> <div class="line number26 index25 alt1"><code class="undefined spaces">        </code><code class="plain">{ </code></div> <div class="line number27 index26 alt2"><code class="undefined spaces">            </code><code class="string">'title'</code><code class="plain">: title, </code></div> <div class="line number28 index27 alt1"><code class="undefined spaces">            </code><code class="string">'links'</code><code class="plain">: link </code></div> <div class="line number29 index28 alt2"><code class="undefined spaces">        </code><code class="plain">} </code></div> <div class="line number30 index29 alt1"><code class="undefined spaces"> </code> </div> <div class="line number31 index30 alt2"><code class="undefined spaces">        </code><code class="keyword">if</code> <code class="plain">(</code><code class="string">'geeksforgeeks'</code> <code class="keyword">in</code> <code class="plain">link </code><code class="keyword">and</code></div> <div class="line number32 index31 alt1"><code class="undefined spaces">               </code><code class="plain">link </code><code class="keyword">not</code> <code class="keyword">in</code> <code class="color1">self</code><code class="plain">.crawled): </code></div> <div class="line number33 index32 alt2"><code class="undefined spaces">            </code><code class="color1">self</code><code class="plain">.crawled.update(link) </code></div> <div class="line number34 index33 alt1"><code class="undefined spaces">            </code><code class="keyword">yield</code> <code class="plain">scrapy.Request(url </code><code class="keyword">=</code> <code class="plain">link, </code></div> <div class="line number35 index34 alt2"><code class="undefined spaces">                      </code><code class="plain">callback </code><code class="keyword">=</code> <code class="color1">self</code><code class="plain">.parse) </code></div> </div> </td> </tr> </tbody> </table> </div></div> <div class="code-editor-container"></div> </p></div> <div class="code-output-container"> <div class = "output-block"> <i id="output-icon" title="Output" class="gfg-icon gfg-icon_arrow-right-editor padding-2px code-sidebar-button output-icon"></i></p> <pre class="output-pre"></pre> </p></div> <div class = "ide-link-div"> <i id="copy-url-button" title="Copy Generated Ide URL" class="gfg-icon gfg-icon_copy padding-2px code-sidebar-button copy-url-button"></i></p> <pre id="ide-url"></pre> </p></div> </p></div> <pre> scrapy crawl extract -o links.json </pre> <p>After running this spider, it should be able to scrape successfully and save it inside links.json But we need to save time and want to run it for at least 24 hours. So we will deploy this spider on ScrapingHub.<br />  <br /> <b>Step 2: Creating account at ScrapingHub</b></p> <p>Go to <a href="https://app.scrapinghub.com/account/login/">ScrapingHub login page</a> and log in by using Google or Github. It will redirect to the dashboard.</p> <p><img src="https://media.geeksforgeeks.org/wp-content/uploads/Screenshot-from-2018-05-09-21-37-53.png" alt="" class="alignnone size-medium wp-image-412555" /></p> <p>Now click on Create project and mention name of the project. Click on Scrapy button, because our spider is built with Scrapy framework.</p> <p>After clicking you will be redirected to the project dashboard and will see two options for deployment.<br /> 1. Deploying with CLI<br /> 2. Deploying with Github</p> <p>Do it with CLIm because it is much preferred. So let’s switch back to our local project configure some settings.<br />  <br /> <b>Step 3: Configuring</b></p> <li>At first install shub CLI, which helps to deploy the code. <pre>pip install shub</pre> </li> <li>Now after installing, you need to do login and mention the app key; so that ScrapingHub will know which project you are working on and where to deploy. <pre>shub login</pre> </li> <li>After login and writing the app key, user will be logged in. Now the next step is to simply deploy it by using : <pre>shub deploy ID</pre> </li> <li>Id will be mentioned in code and deploy section which is 6 digits long. After entering, user should get output something like this :<br /> <img src="https://media.geeksforgeeks.org/wp-content/uploads/ddd-1-1024x245.png" alt="" width="665" height="159" class="aligncenter size-large wp-image-413822" /></li> <p> <br /> On Spiders dashboard section, user can see the ready spider. Just click on spider name and on Run button. Free users will get 1-unit free, which states that user can run one spider for maximum 24-hours. After that, it will automatically stop. User can buy the units to extend the time period.<br /> <img src="https://media.geeksforgeeks.org/wp-content/uploads/Screenshot-from-2018-05-09-21-52-21.png" alt="" class="alignnone size-medium wp-image-412582" /></p> <p>By clicking on items under Running Job section, it will be redirected to another page which will show all the items getting scraped at that time. Job section will show graph; showing stats about the spider. This graph is a perfect visualization after running the spider for 5-6 hours.</p> <p><img src="https://media.geeksforgeeks.org/wp-content/uploads/Screenshot-from-2018-05-09-21-54-10.png" alt="" class="alignnone size-medium wp-image-412586" /></p> <p>To get the data in local machine, go to Items section back and there, at top right, click on Export button. It will show various format like – CSV, JSON, JSON lines, XML. It is worth noting that this feature is really helpful and it really saves a lot of time.</p> <p><img src="https://media.geeksforgeeks.org/wp-content/uploads/Screenshot-from-2018-05-09-22-03-25.png" alt="" class="alignnone size-medium wp-image-412593" /></p> <p>Using ScrapingHub, one can scrape about millions of data in just few days, by just deploying the spider and downloading it in preferred format. </p> <p><strong>Note : </strong>Scraping any web page is not a legal activity. 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