Web Scraping Web Scraping with Python and BeautifulSoup

A Simple HTML Document

Example




Page Title

My First Heading

My first paragraph.


Try it Yourself »

Example Explained

  • The declaration defines this document to be HTML5
  • The element is the root element of an HTML page
  • The element contains meta information about the document
  • The </code> element specifies a title for the document</li> <li name="6984" id="6984" class="graf graf--li graf-after--li">The <code class="markup--code markup--li-code"><body></code> element contains the visible page content</li> <li name="11e5" id="11e5" class="graf graf--li graf-after--li">The <code class="markup--code markup--li-code"><br /> <h1></code> element defines a large heading</li> <li name="68a3" id="68a3" class="graf graf--li graf-after--li">The <code class="markup--code markup--li-code"> <p></code> element defines a paragraph</li> </ul> <blockquote name="166a" id="166a" class="graf graf--blockquote graf-after--li" readability="3.2926829268293"> <p>More Details refer to this</p> <p><a href="https://www.w3schools.com/html/default.asp" data-href="https://www.w3schools.com/html/default.asp" class="markup--anchor markup--blockquote-anchor" rel="noopener" target="_blank" rel="nofollow">HTML Tutorials</a></p></blockquote> <p name="c036" id="c036" class="graf graf--p graf-after--blockquote"><strong class="markup--strong markup--p-strong">What is Web Scraping?</strong></p> <p name="fd18" id="fd18" class="graf graf--p graf-after--p"><strong class="markup--strong markup--p-strong">Web scraping</strong>, <strong class="markup--strong markup--p-strong">web harvesting</strong>, or <strong class="markup--strong markup--p-strong">web data extraction</strong> is <a href="https://en.wikipedia.org/wiki/Data_scraping" data-href="https://en.wikipedia.org/wiki/Data_scraping" class="markup--anchor markup--p-anchor" title="Data scraping" rel="noopener" target="_blank" rel="nofollow">data scraping</a> used for <a href="https://en.wikipedia.org/wiki/Data_extraction" data-href="https://en.wikipedia.org/wiki/Data_extraction" class="markup--anchor markup--p-anchor" title="Data extraction" rel="noopener" target="_blank" rel="nofollow">extracting data</a> from <a href="https://en.wikipedia.org/wiki/Website" data-href="https://en.wikipedia.org/wiki/Website" class="markup--anchor markup--p-anchor" title="Website" rel="noopener" target="_blank" rel="nofollow">websites</a>.<a href="https://en.wikipedia.org/wiki/Web_scraping#cite_note-Boeing2016JPER-1" data-href="https://en.wikipedia.org/wiki/Web_scraping#cite_note-Boeing2016JPER-1" class="markup--anchor markup--p-anchor" rel="noopener" target="_blank" rel="nofollow">[1]</a> Web scraping software may access the World Wide Web directly using the <a href="https://en.wikipedia.org/wiki/Hypertext_Transfer_Protocol" data-href="https://en.wikipedia.org/wiki/Hypertext_Transfer_Protocol" class="markup--anchor markup--p-anchor" title="Hypertext Transfer Protocol" rel="noopener" target="_blank" rel="nofollow">Hypertext Transfer Protocol</a>, or through a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a <a href="https://en.wikipedia.org/wiki/Internet_bot" data-href="https://en.wikipedia.org/wiki/Internet_bot" class="markup--anchor markup--p-anchor" title="Internet bot" rel="noopener" target="_blank" rel="nofollow">bot</a> or <a href="https://en.wikipedia.org/wiki/Web_crawler" data-href="https://en.wikipedia.org/wiki/Web_crawler" class="markup--anchor markup--p-anchor" title="Web crawler" rel="noopener" target="_blank" rel="nofollow">web crawler</a>. It is a form of copying, in which specific data is gathered and copied from the web, typically into a central local <a href="https://en.wikipedia.org/wiki/Database" data-href="https://en.wikipedia.org/wiki/Database" class="markup--anchor markup--p-anchor" title="Database" rel="noopener" target="_blank" rel="nofollow">database</a> or spreadsheet, for later <a href="https://en.wikipedia.org/wiki/Data_retrieval" data-href="https://en.wikipedia.org/wiki/Data_retrieval" class="markup--anchor markup--p-anchor" title="Data retrieval" rel="noopener" target="_blank" rel="nofollow">retrieval</a> or <a href="https://en.wikipedia.org/wiki/Data_analysis" data-href="https://en.wikipedia.org/wiki/Data_analysis" class="markup--anchor markup--p-anchor" title="Data analysis" rel="noopener" target="_blank" rel="nofollow">analysis</a>.</p> <p name="0630" id="0630" class="graf graf--p graf-after--p">More details refer to <a href="https://en.wikipedia.org/wiki/Web_scraping" data-href="https://en.wikipedia.org/wiki/Web_scraping" class="markup--anchor markup--p-anchor" rel="noopener" target="_blank" rel="nofollow">Wikipedia</a></p> <figure name="b3d3" id="b3d3" class="graf graf--figure graf-after--p"> <div class="aspectRatioPlaceholder is-locked c4"> </div> </figure> <p name="c43d" id="c43d" class="graf graf--p graf-after--figure"><strong class="markup--strong markup--p-strong">Why we need Web Scraping?</strong></p> <p name="ae91" id="ae91" class="graf graf--p graf-after--p">A large organization will need to keep itself updated with the information changes occurring in multitudes of websites. An intelligent web scraper will find new websites from which it needs to scrap the data. Intelligent approaches identify the changed data, extract it without extracting the unnecessary links present within and navigate between websites to monitor and extract information on a real-time basis efficiently and effectively. You can easily monitor several websites simultaneously while keeping up with the frequency of updates.</p> <p name="14a0" id="14a0" class="graf graf--p graf-after--p">You will observe, as has been mentioned earlier, that data across the websites constantly changes. How will know if a key change has been made by an organization? Let’s say there has been a personnel change in the organization, how will you find out about that? That’s where the alerts feature in web scraping comes to play. The intelligent web scraping techniques will alert you to the data changes that have occurred on a particular website, thus helping you keep an eye on opportunities and issues.</p> <h3 name="ed95" id="ed95" class="graf graf--h3 graf-after--p">Web Scraping using Python and BeautifulSoup</h3> <p name="0368" id="0368" class="graf graf--p graf-after--h3">Firstly, I will demonstrate you with very basic HTML web page. And later on, show you how to do web scraping on the real-world web pages.</p> <p name="d5ba" id="d5ba" class="graf graf--p graf-after--p">The first thing we’ll need to do to scrape a web page is to download the page. We can download pages using the Python <a href="http://docs.python-requests.org/en/master/" data-href="http://docs.python-requests.org/en/master/" class="markup--anchor markup--p-anchor" rel="noopener" target="_blank" rel="nofollow">requests</a> library. The requests library will make a <code class="markup--code markup--p-code">GET</code> request to a web server, which will download the HTML contents of a given web page for us. There are several different types of requests we can make using <code class="markup--code markup--p-code">requests</code>, of which <code class="markup--code markup--p-code">GET</code> is just one.</p> <p name="1d57" id="1d57" class="graf graf--p graf-after--p">Let’s try downloading a simple sample website, <code class="markup--code markup--p-code"><a href="http://dataquestio.github.io/web-scraping-pages/simple.html" data-href="http://dataquestio.github.io/web-scraping-pages/simple.html" class="markup--anchor markup--p-anchor" rel="nofollow noopener" target="_blank" rel="nofollow">http://dataquestio.github.io/web-scraping-pages/simple.html</a></code>. We’ll need to first download it using the <a href="http://docs.python-requests.org/en/master/user/quickstart/#make-a-request" data-href="http://docs.python-requests.org/en/master/user/quickstart/#make-a-request" class="markup--anchor markup--p-anchor" rel="noopener" target="_blank" rel="nofollow">requests.get</a> method.</p> <figure name="252b" id="252b" class="graf graf--figure graf-after--p"> <div class="aspectRatioPlaceholder is-locked c6"> </div> </figure> <p name="008b" id="008b" class="graf graf--p graf-after--figure">After running our request, we get a <a href="http://docs.python-requests.org/en/master/user/quickstart/#response-content" data-href="http://docs.python-requests.org/en/master/user/quickstart/#response-content" class="markup--anchor markup--p-anchor" rel="noopener" target="_blank" rel="nofollow">Response</a> object. This object has a <code class="markup--code markup--p-code">status_code</code>property, which indicates if the page was downloaded successfully.</p> <p name="7d2e" id="7d2e" class="graf graf--p graf-after--p">We can print out the HTML content of the page using the <code class="markup--code markup--p-code">content</code> property:</p> <figure name="6cdb" id="6cdb" class="graf graf--figure graf-after--p"> <div class="aspectRatioPlaceholder is-locked c8"> </div> </figure> <h3 name="ac67" id="ac67" class="graf graf--h3 graf-after--figure">BeautifulSoup</h3> <p name="cc73" id="cc73" class="graf graf--p graf-after--h3">We can use the <a href="https://www.crummy.com/software/BeautifulSoup/" data-href="https://www.crummy.com/software/BeautifulSoup/" class="markup--anchor markup--p-anchor" rel="noopener" target="_blank" rel="nofollow">BeautifulSoup</a> library to parse this document, and extract the text from the <code class="markup--code markup--p-code">p</code> tag. We first have to import the library, and create an instance of the <code class="markup--code markup--p-code">BeautifulSoup</code> class to parse our document:</p> <figure name="5140" id="5140" class="graf graf--figure graf-after--p"> <div class="aspectRatioPlaceholder is-locked c8"> </div> </figure> <p name="f3ba" id="f3ba" class="graf graf--p graf-after--figure">We can now print out the HTML content of the page, formatted nicely, using the <code class="markup--code markup--p-code">prettify</code> method on the <code class="markup--code markup--p-code">BeautifulSoup</code> object:</p> <figure name="a271" id="a271" class="graf graf--figure graf-after--p"> <div class="aspectRatioPlaceholder is-locked c10"> </div> </figure> <p name="d8a6" id="d8a6" class="graf graf--p graf-after--figure">As all the tags are nested, we can move through the structure one level at a time. We can first select all the elements at the top level of the page using the <code class="markup--code markup--p-code">children</code> property of <code class="markup--code markup--p-code">soup</code>. Note that <code class="markup--code markup--p-code">children</code> returns a list generator, so we need to call the <code class="markup--code markup--p-code">list</code>function on it.</p> <figure name="9f21" id="9f21" class="graf graf--figure graf-after--p"> <div class="aspectRatioPlaceholder is-locked c8"> </div> </figure> <figure name="81e7" id="81e7" class="graf graf--figure graf-after--figure"> <div class="aspectRatioPlaceholder is-locked c12"> </div> </figure> <p name="fded" id="fded" class="graf graf--p graf-after--figure">As you can see above, there are two tags here, <code class="markup--code markup--p-code">head</code>, and <code class="markup--code markup--p-code">body</code>. We want to extract the text inside the <code class="markup--code markup--p-code">p</code> tag, so we’ll dive into the body(Refer to just above, under html.children).</p> <p name="237e" id="237e" class="graf graf--p graf-after--p">Now, we can get the <code class="markup--code markup--p-code">p</code> tag by finding the children of the body tag</p> <figure name="cce4" id="cce4" class="graf graf--figure graf-after--p"> <div class="aspectRatioPlaceholder is-locked c14"> </div> </figure> <p name="6035" id="6035" class="graf graf--p graf-after--figure">we can use the <code class="markup--code markup--p-code">get_text</code> method to extract all of the text inside the tag.</p> <h3 name="08b4" id="08b4" class="graf graf--h3 graf-after--p">Finding all instances of a tag at once</h3> <p name="1a3e" id="1a3e" class="graf graf--p graf-after--h3">What we did above was useful for figuring out how to navigate a page, but it took a lot of commands to do something fairly simple. If we want to extract a single tag, we can instead use the <code class="markup--code markup--p-code">find_all</code> method, which will find all the instances of a tag on a page.</p> <p name="0cce" id="0cce" class="graf graf--p graf-after--p">If you instead only want to find the first instance of a tag, you can use the <code class="markup--code markup--p-code">find</code>method, which will return a single <code class="markup--code markup--p-code">BeautifulSoup</code> object.</p> <figure name="cad2" id="cad2" class="graf graf--figure graf-after--p"> <div class="aspectRatioPlaceholder is-locked c15"> </div> </figure> <p name="009a" id="009a" class="graf graf--p graf-after--figure">If you want to fork this notebook go to <a href="https://github.com/mohitsharma44official/Python-Web-Scraping-/blob/master/Web%20Scraping%20Tutorial.ipynb" data-href="https://github.com/mohitsharma44official/Python-Web-Scraping-/blob/master/Web%20Scraping%20Tutorial.ipynb" class="markup--anchor markup--p-anchor" rel="noopener" target="_blank" rel="nofollow">Web Scraping Tutorial.</a></p> <blockquote name="b2ac" id="b2ac" class="graf graf--blockquote graf-after--p" readability="4.5898617511521"> <p><strong class="markup--strong markup--blockquote-strong">Now, I’ll show you how to perform web scraping using</strong></p> <p><a href="https://www.python.org/downloads/release/python-350/" data-href="https://www.python.org/downloads/release/python-350/" class="markup--anchor markup--blockquote-anchor" rel="noopener" target="_blank" rel="nofollow"><strong class="markup--strong markup--blockquote-strong">Python 3</strong></a> <strong class="markup--strong markup--blockquote-strong">and the</strong> <a href="https://www.crummy.com/software/BeautifulSoup/" data-href="https://www.crummy.com/software/BeautifulSoup/" class="markup--anchor markup--blockquote-anchor" rel="noopener" target="_blank" rel="nofollow"><strong class="markup--strong markup--blockquote-strong">BeautifulSoup</strong></a> <strong class="markup--strong markup--blockquote-strong">library. We’ll be scraping weather forecasts from the</strong> <a href="http://www.weather.gov/" data-href="http://www.weather.gov/" class="markup--anchor markup--blockquote-anchor" rel="noopener" target="_blank" rel="nofollow"><strong class="markup--strong markup--blockquote-strong">National Weather Service</strong></a><strong class="markup--strong markup--blockquote-strong">, and then analyzing them using the</strong> <a href="http://pandas.pydata.org/" data-href="http://pandas.pydata.org/" class="markup--anchor markup--blockquote-anchor" rel="noopener" target="_blank" rel="nofollow"><strong class="markup--strong markup--blockquote-strong">Pandas</strong></a> <strong class="markup--strong markup--blockquote-strong">library.</strong></p></blockquote> <figure name="75fd" id="75fd" class="graf graf--figure graf-after--blockquote"> <div class="aspectRatioPlaceholder is-locked c17"> </div> </figure> <p name="9c03" id="9c03" class="graf graf--p graf-after--figure">We now know enough to proceed with extracting information about the local weather from the National Weather Service website. The first step is to find the page we want to scrape. We’ll extract weather information about downtown San Francisco from <a href="http://forecast.weather.gov/MapClick.php?lat=37.7772&lon=-122.4168" data-href="http://forecast.weather.gov/MapClick.php?lat=37.7772&lon=-122.4168" class="markup--anchor markup--p-anchor" rel="noopener" target="_blank" rel="nofollow">this page</a>.</p> <figure name="b8bb" id="b8bb" class="graf graf--figure graf-after--p"> <div class="aspectRatioPlaceholder is-locked c19"> </div> </figure> <p name="bbd1" id="bbd1" class="graf graf--p graf-after--figure">Once you open this page then use <strong class="markup--strong markup--p-strong">CRTL+SHIFT+I</strong> to inspect the element, but here we are interested in this particular column (San Francisco CA).</p> <p name="467b" id="467b" class="graf graf--p graf-after--p">So, by right-clicking on the page near where it says “Extended Forecast”, then clicking “Inspect”, we’ll open up the tag that contains the text “Extended Forecast” in the elements panel.</p> <figure name="a1ce" id="a1ce" class="graf graf--figure graf-after--p"> <div class="aspectRatioPlaceholder is-locked c21"> </div> </figure> <p name="4539" id="4539" class="graf graf--p graf-after--figure">We can then scroll up in the elements panel to find the “outermost” element that contains all of the text that corresponds to the extended forecasts. In this case, it’s a <code class="markup--code markup--p-code">div</code> tag with the id <code class="markup--code markup--p-code">seven-day-forecast.</code></p> <p name="765e" id="765e" class="graf graf--p graf-after--p">Explore the div, you’ll discover that each forecast item (like “Tonight”, “Thursday”, and “Thursday Night”) is contained in a <code class="markup--code markup--p-code">div</code>with the class <code class="markup--code markup--p-code">tombstone-container</code>.</p> <figure name="49bb" id="49bb" class="graf graf--figure graf-after--p"> <div class="aspectRatioPlaceholder is-locked c23"> </div> </figure> <p name="2922" id="2922" class="graf graf--p graf-after--figure">We now know enough to download the page and start parsing it. In the below code, we:</p> <ul class="postList"> <li name="152d" id="152d" class="graf graf--li graf-after--p">Download the web page containing the forecast.</li> <li name="e69b" id="e69b" class="graf graf--li graf-after--li">Create a <code class="markup--code markup--li-code">BeautifulSoup</code> class to parse the page.</li> <li name="c13e" id="c13e" class="graf graf--li graf-after--li">Find the <code class="markup--code markup--li-code">div</code> with id <code class="markup--code markup--li-code">seven-day-forecast</code>, and assign to <code class="markup--code markup--li-code">seven_day</code></li> <li name="574d" id="574d" class="graf graf--li graf-after--li">Inside <code class="markup--code markup--li-code">seven_day</code>, find each individual forecast item.</li> <li name="356a" id="356a" class="graf graf--li graf-after--li">Extract and print the first forecast item.</li> </ul> <figure name="6fd2" id="6fd2" class="graf graf--figure graf-after--li"> <div class="aspectRatioPlaceholder is-locked c25"> </div> </figure> <p name="34b4" id="34b4" class="graf graf--p graf-after--figure"><strong class="markup--strong markup--p-strong">Extract and print the first forecast item</strong></p> <figure name="da65" id="da65" class="graf graf--figure graf-after--p"> <div class="aspectRatioPlaceholder is-locked c6"> </div> </figure> <p name="5904" id="5904" class="graf graf--p graf-after--figure">As you can see, inside the forecast item <code class="markup--code markup--p-code">tonight</code> is all the information we want. There are <code class="markup--code markup--p-code">4</code> pieces of information we can extract:</p> <ul class="postList"> <li name="ca48" id="ca48" class="graf graf--li graf-after--p">The name of the forecast item — in this case, <code class="markup--code markup--li-code">Today</code>.</li> <li name="3e57" id="3e57" class="graf graf--li graf-after--li">The description of the conditions — this is stored in the <code class="markup--code markup--li-code">title</code> property of <code class="markup--code markup--li-code">img</code>.</li> <li name="8e14" id="8e14" class="graf graf--li graf-after--li">A short description of the conditions — in this case, <code class="markup--code markup--li-code">Sunny</code>.</li> <li name="0583" id="0583" class="graf graf--li graf-after--li">The temperature low — in this case, <code class="markup--code markup--li-code u-paddingRight0 u-marginRight0">69<em class="markup--em markup--li-em">°F</em></code>.</li> </ul> <figure name="18ce" id="18ce" class="graf graf--figure graf-after--li"> <div class="aspectRatioPlaceholder is-locked c25"> </div> </figure> <p name="64aa" id="64aa" class="graf graf--p graf-after--figure">Now that we know how to extract each individual piece of information, we can combine our knowledge with CSS selectors and list comprehensions to extract everything at once.</p> <p name="bc63" id="bc63" class="graf graf--p graf-after--p"><strong class="markup--strong markup--p-strong">In the below code</strong>:</p> <p name="a85a" id="a85a" class="graf graf--p graf-after--p">Select all items with the class <code class="markup--code markup--p-code">period-name</code> inside an item with the class <code class="markup--code markup--p-code">tombstone-container</code> in <code class="markup--code markup--p-code">seven_day</code>.</p> <p name="a272" id="a272" class="graf graf--p graf-after--p">Use a list comprehension to call the <code class="markup--code markup--p-code">get_text</code> method on each <code class="markup--code markup--p-code">BeautifulSoup</code>object.</p> <figure name="7005" id="7005" class="graf graf--figure graf-after--p"> <div class="aspectRatioPlaceholder is-locked c6"> </div> </figure> <p name="f453" id="f453" class="graf graf--p graf-after--figure"><strong class="markup--strong markup--p-strong">Combining our data into Pandas DataFrame</strong></p> <figure name="d4d5" id="d4d5" class="graf graf--figure graf-after--p"> <div class="aspectRatioPlaceholder is-locked c21"> </div> </figure> <p name="647f" id="647f" class="graf graf--p graf-after--figure"><strong class="markup--strong markup--p-strong">We can use a regular expression and the</strong> <a href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.str.extract.html" data-href="http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.str.extract.html" class="markup--anchor markup--p-anchor" rel="noopener" target="_blank" rel="nofollow"><strong class="markup--strong markup--p-strong">Series.str.extract</strong></a> <strong class="markup--strong markup--p-strong">method to pull out the numeric temperature values.</strong></p> <figure name="fb5c" id="fb5c" class="graf graf--figure graf-after--p"> <div class="aspectRatioPlaceholder is-locked c6"> </div> </figure> <figure name="f808" id="f808" class="graf graf--figure graf-after--figure"> <div class="aspectRatioPlaceholder is-locked c25"> </div> </figure> <p name="36a2" id="36a2" class="graf graf--p graf-after--figure">If you want to fork this notebook go to <a href="https://github.com/mohitsharma44official/Python-Web-Scraping-/blob/master/Web%20Scraping.ipynb" data-href="https://github.com/mohitsharma44official/Python-Web-Scraping-/blob/master/Web%20Scraping.ipynb" class="markup--anchor markup--p-anchor" rel="noopener" target="_blank" rel="nofollow">Web Scraping</a> and <a href="https://github.com/mohitsharma44official/Python-Web-Scraping-" data-href="https://github.com/mohitsharma44official/Python-Web-Scraping-" class="markup--anchor markup--p-anchor" rel="noopener" target="_blank" rel="nofollow">GitHub</a></p> <p name="3c17" id="3c17" class="graf graf--p graf-after--p">I hope now you have a good understanding of how to Scrape the data from web pages. In the coming weeks, I’ll do web scraping on</p> <ul class="postList"> <li name="d34b" id="d34b" class="graf graf--li graf-after--p">News articles</li> <li name="3b9e" id="3b9e" class="graf graf--li graf-after--li">Sports scores</li> <li name="efe3" id="efe3" class="graf graf--li graf-after--li">Weather forecasts</li> <li name="3384" id="3384" class="graf graf--li graf-after--li">Stock prices</li> <li name="209d" id="209d" class="graf graf--li graf-after--li">Online retailer price etc.</li> </ul> <p name="203c" id="203c" class="graf graf--p graf-after--li">Hope you like this article!! 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