Beautiful Soup – Find Elements by Attribute ”; Previous Next Both find() and find_all() methods are meant to find one or all the tags in the document as per the arguments passed to these methods. You can pass attrs parameter to these functions. The value of attrs must be a dictionary with one or more tag attributes and their values. For the purpose of checking the behaviour of these methods, we shall use the following HTML document (index.html) <html> <head> <title>TutorialsPoint</title> </head> <body> <form> <input type = ”text” id = ”nm” name = ”name”> <input type = ”text” id = ”age” name = ”age”> <input type = ”text” id = ”marks” name = ”marks”> </form> </body> </html> Using find_all() The following program returns a list of all the tags having input type=”text” attribute. Example from bs4 import BeautifulSoup fp = open(“index.html”) soup = BeautifulSoup(fp, ”html.parser”) obj = soup.find_all(attrs={“type”:”text”}) print (obj) Output [<input id=”nm” name=”name” type=”text”/>, <input id=”age” name=”age” type=”text”/>, <input id=”marks” name=”marks” type=”text”/>] Using find() The find() method returns the first tag in the parsed document that has the given attributes. obj = soup.find(attrs={“name”:”marks”}) Using select() The select() method can be called by passing the attributes to be compared against. The attributes must be put in a list object. It returns a list of all tags that have the given attribute. In the following code, the select() method returns all the tags with type attribute. Example from bs4 import BeautifulSoup fp = open(“index.html”) soup = BeautifulSoup(fp, ”html.parser”) obj = soup.select(“[type]”) print (obj) Output [<input id=”nm” name=”name” type=”text”/>, <input id=”age” name=”age” type=”text”/>, <input id=”marks” name=”marks” type=”text”/>] Using select_one() The select_one() is method is similar, except that it returns the first tag satisfying the given filter. obj = soup.select_one(“[name=”marks”]”) Output <input id=”marks” name=”marks” type=”text”/> Print Page Previous Next Advertisements ”;
Category: beautiful Soup
Beautiful Soup – Souping the Page ”; Previous Next It is time to test our Beautiful Soup package in one of the html pages (taking web page – https://www.tutorialspoint.com/index.htm, you can choose any-other web page you want) and extract some information from it. In the below code, we are trying to extract the title from the webpage − Example from bs4 import BeautifulSoup import requests url = “https://www.tutorialspoint.com/index.htm” req = requests.get(url) soup = BeautifulSoup(req.content, “html.parser”) print(soup.title) Output <title>Online Courses and eBooks Library<title> One common task is to extract all the URLs within a webpage. For that we just need to add the below line of code − for link in soup.find_all(”a”): print(link.get(”href”)) Output Shown below is the partial output of the above loop − https://www.tutorialspoint.com/index.htm https://www.tutorialspoint.com/codingground.htm https://www.tutorialspoint.com/about/about_careers.htm https://www.tutorialspoint.com/whiteboard.htm https://www.tutorialspoint.com/online_dev_tools.htm https://www.tutorialspoint.com/business/index.asp https://www.tutorialspoint.com/market/teach_with_us.jsp https://www.facebook.com/tutorialspointindia https://www.instagram.com/tutorialspoint_/ https://twitter.com/tutorialspoint https://www.youtube.com/channel/UCVLbzhxVTiTLiVKeGV7WEBg https://www.tutorialspoint.com/categories/development https://www.tutorialspoint.com/categories/it_and_software https://www.tutorialspoint.com/categories/data_science_and_ai_ml https://www.tutorialspoint.com/categories/cyber_security https://www.tutorialspoint.com/categories/marketing https://www.tutorialspoint.com/categories/office_productivity https://www.tutorialspoint.com/categories/business https://www.tutorialspoint.com/categories/lifestyle https://www.tutorialspoint.com/latest/prime-packs https://www.tutorialspoint.com/market/index.asp https://www.tutorialspoint.com/latest/ebooks … … To parse a web page stored locally in the current working directory, obtain the file object pointing to the html file, and use it as argument to the BeautifulSoup() constructor. Example from bs4 import BeautifulSoup with open(“index.html”) as fp: soup = BeautifulSoup(fp, ”html.parser”) print(soup) Output <html> <head> <title>Hello World</title> </head> <body> <h1 style=”text-align:center;”>Hello World</h1> </body> </html> You can also use a string that contains HTML script as constructor”s argument as follows − from bs4 import BeautifulSoup html = ””” <html> <head> <title>Hello World</title> </head> <body> <h1 style=”text-align:center;”>Hello World</h1> </body> </html> ””” soup = BeautifulSoup(html, ”html.parser”) print(soup) Beautiful Soup uses the best available parser to parse the document. It will use an HTML parser unless specified otherwise. Print Page Previous Next Advertisements ”;
Beautiful Soup – Overview
Beautiful Soup – Overview ”; Previous Next In today”s world, we have tons of unstructured data/information (mostly web data) available freely. Sometimes the freely available data is easy to read and sometimes not. No matter how your data is available, web scraping is very useful tool to transform unstructured data into structured data that is easier to read and analyze. In other words, web scraping is a way to collect, organize and analyze this enormous amount of data. So let us first understand what is web-scraping. Introduction to Beautiful Soup The Beautiful Soup is a python library which is named after a Lewis Carroll poem of the same name in “Alice”s Adventures in the Wonderland”. Beautiful Soup is a python package and as the name suggests, parses the unwanted data and helps to organize and format the messy web data by fixing bad HTML and present to us in an easily-traversable XML structures. In short, Beautiful Soup is a python package which allows us to pull data out of HTML and XML documents. HTML tree Structure Before we look into the functionality provided by Beautiful Soup, let us first understand the HTML tree structure. The root element in the document tree is the html, which can have parents, children and siblings and this determines by its position in the tree structure. To move among HTML elements, attributes and text, you have to move among nodes in your tree structure. Let us suppose the webpage is as shown below − Which translates to an html document as follows − <html> <head> <title>TutorialsPoint</title> </head> <body> <h1>Tutorialspoint Online Library</h1> <p><b>It”s all Free</b></p> </body> </html> Which simply means, for above html document, we have a html tree structure as follows − Print Page Previous Next Advertisements ”;
Beautiful Soup – Remove all Styles ”; Previous Next This chapter explains how to remove all styles from a HTML document. Cascaded style sheets (CSS) are used to control the appearance of different aspects of a HTML document. It includes styling the rendering of text with a specific font, color, alignment, spacing etc. CSS is applied to HTML tags in different ways. One is to define different styles in a CSS file and include in the HTML script with the <link> tag in the <head> section in the document. For example, Example <html> <head> <link rel=”stylesheet” href=”style.css”> </head> <body> . . . . . . </body> </html> The different tags in the body part of the HTML script will use the definitions in mystyle.css file Another approach is to define the style configuration inside the <head> part of the HTML document itself. Tags in the body part will be rendered by using the definitions provided internally. Example of internal styling − <html> <head> <style> p { text-align: center; color: red; } </style> </head> <body> <p>para1.</p> <p id=”para1″>para2</p> <p>para3</p> </body> </html> In either cases, to remove the styles programmatically, simple remove the head tag from the soup object. from bs4 import BeautifulSoup soup = BeautifulSoup(html, “html.parser”) soup.head.extract() Third approach is to define the styles inline by including style attribute in the tag itself. The style attribute may contain one or more style attribute definitions such as color, size etc. For example <body> <h1 style=”color:blue;text-align:center;”>This is a heading</h1> <p style=”color:red;”>This is a paragraph.</p> </body> To remove such inline styles from a HTML document, you need to check if attrs dictionary of a tag object has style key defined in it, and if yes delete the same. tags=soup.find_all() for tag in tags: if tag.has_attr(”style”): del tag.attrs[”style”] print (soup) The following code removes the inline styles as well as removes the head tag itself, so that the resultant HTML tree will not have any styles left. html = ””” <html> <head> <link rel=”stylesheet” href=”style.css”> </head> <body> <h1 style=”color:blue;text-align:center;”>This is a heading</h1> <p style=”color:red;”>This is a paragraph.</p> </body> </html> ””” from bs4 import BeautifulSoup soup = BeautifulSoup(html, “html.parser”) soup.head.extract() tags=soup.find_all() for tag in tags: if tag.has_attr(”style”): del tag.attrs[”style”] print (soup.prettify()) Output <html> <body> <h1> This is a heading </h1> <p> This is a paragraph. </p> </body> </html> Print Page Previous Next Advertisements ”;
Beautiful Soup – Inspect Data Source ”; Previous Next In order to scrape a web page with BeautifulSoup and Python, your first step for any web scraping project should be to explore the website that you want to scrape. So, first visit the website to understand the site structure before you start extracting the information that”s relevant for you. Let us visit TutorialsPoint”s Python Tutorial home page. Open https://www.tutorialspoint.com/python3/index.htm in your browser. Use Developer tools can help you understand the structure of a website. All modern browsers come with developer tools installed. If using Chrome browser, open the Developer Tools from the top-right menu button (⋮) and selecting More Tools → Developer Tools. With Developer tools, you can explore the site”s document object model (DOM) to better understand your source. Select the Elements tab in developer tools. You”ll see a structure with clickable HTML elements. The Tutorial page shows the table of contents in the left sidebar. Right click on any chapter and choose Inspect option. For the Elements tab, locate the tag that corresponds to the TOC list, as shown in the figure below − Right click on the HTML element, copy the HTML element, and paste it in any editor. The HTML script of the <ul>..</ul> element is now obtained. <ul class=”toc chapters”> <li class=”heading”>Python 3 Basic Tutorial</li> <li class=”current-chapter”><a href=”/python3/index.htm”>Python 3 – Home</a></li> <li><a href=”/python3/python3_whatisnew.htm”>What is New in Python 3</a></li> <li><a href=”/python3/python_overview.htm”>Python 3 – Overview</a></li> <li><a href=”/python3/python_environment.htm”>Python 3 – Environment Setup</a></li> <li><a href=”/python3/python_basic_syntax.htm”>Python 3 – Basic Syntax</a></li> <li><a href=”/python3/python_variable_types.htm”>Python 3 – Variable Types</a></li> <li><a href=”/python3/python_basic_operators.htm”>Python 3 – Basic Operators</a></li> <li><a href=”/python3/python_decision_making.htm”>Python 3 – Decision Making</a></li> <li><a href=”/python3/python_loops.htm”>Python 3 – Loops</a></li> <li><a href=”/python3/python_numbers.htm”>Python 3 – Numbers</a></li> <li><a href=”/python3/python_strings.htm”>Python 3 – Strings</a></li> <li><a href=”/python3/python_lists.htm”>Python 3 – Lists</a></li> <li><a href=”/python3/python_tuples.htm”>Python 3 – Tuples</a></li> <li><a href=”/python3/python_dictionary.htm”>Python 3 – Dictionary</a></li> <li><a href=”/python3/python_date_time.htm”>Python 3 – Date & Time</a></li> <li><a href=”/python3/python_functions.htm”>Python 3 – Functions</a></li> <li><a href=”/python3/python_modules.htm”>Python 3 – Modules</a></li> <li><a href=”/python3/python_files_io.htm”>Python 3 – Files I/O</a></li> <li><a href=”/python3/python_exceptions.htm”>Python 3 – Exceptions</a></li> </ul> We can now load this script in a BeautifulSoup object to parse the document tree. Print Page Previous Next Advertisements ”;
Beautiful Soup – Modifying the Tree ”; Previous Next One of the powerful features of Beautiful Soup library is to be able to be able to manipulate the parsed HTML or XML document and modify its contents. Beautiful Soup library has different functions to perform the following operations − Add contents or a new tag to an existing tag of the document Insert contents before or after an existing tag or string Clear the contents of an already existing tag Modify the contents of a tag element Add content You can add to the content of an existing tag by using append() method on a Tag object. It works like the append() method of Python”s list object. In the following example, the HTML script has a <p> tag. With append(), additional text is appended. Example from bs4 import BeautifulSoup markup = ”<p>Hello</p>” soup = BeautifulSoup(markup, ”html.parser”) print (soup) tag = soup.p tag.append(” World”) print (soup) Output <p>Hello</p> <p>Hello World</p> With the append() method, you can add a new tag at the end of an existing tag. First create a new Tag object with new_tag() method and then pass it to the append() method. Example from bs4 import BeautifulSoup, Tag markup = ”<b>Hello</b>” soup = BeautifulSoup(markup, ”html.parser”) tag = soup.b tag1 = soup.new_tag(”i”) tag1.string = ”World” tag.append(tag1) print (soup.prettify()) Output <b> Hello <i> World </i> </b> If you have to add a string to the document, you can append a NavigableString object. Example from bs4 import BeautifulSoup, NavigableString markup = ”<b>Hello</b>” soup = BeautifulSoup(markup, ”html.parser”) tag = soup.b new_string = NavigableString(” World”) tag.append(new_string) print (soup.prettify()) Output <b> Hello World </b> From Beautiful Soup version 4.7 onwards, the extend() method has been added to Tag class. It adds all the elements in a list to the tag. Example from bs4 import BeautifulSoup markup = ”<b>Hello</b>” soup = BeautifulSoup(markup, ”html.parser”) tag = soup.b vals = [”World.”, ”Welcome to ”, ”TutorialsPoint”] tag.extend(vals) print (soup.prettify()) Output <b> Hello World. Welcome to TutorialsPoint </b> Insert Contents Instead of adding a new element at the end, you can use insert() method to add an element at the given position in a the list of children of a Tag element. The insert() method in Beautiful Soup behaves similar to insert() on a Python list object. In the following example, a new string is added to the <b> tag at position 1. The resultant parsed document shows the result. Example from bs4 import BeautifulSoup, NavigableString markup = ”<b>Excellent </b><u>from TutorialsPoint</u>” soup = BeautifulSoup(markup, ”html.parser”) tag = soup.b tag.insert(1, “Tutorial “) print (soup.prettify()) Output <b> Excellent Tutorial </b> <u> from TutorialsPoint </u> Beautiful Soup also has insert_before() and insert_after() methods. Their respective purpose is to insert a tag or a string before or after a given Tag object. The following code shows that a string “Python Tutorial” is added after the <b> tag. Example from bs4 import BeautifulSoup, NavigableString markup = ”<b>Excellent </b><u>from TutorialsPoint</u>” soup = BeautifulSoup(markup, ”html.parser”) tag = soup.b tag.insert_after(“Python Tutorial”) print (soup.prettify()) Output <b> Excellent </b> Python Tutorial <u> from TutorialsPoint </u> On the other hand, insert_before() method is used below, to add “Here is an ” text before the <b> tag. tag.insert_before(“Here is an “) print (soup.prettify()) Output Here is an <b> Excellent </b> Python Tutorial <u> from TutorialsPoint </u> Clear the Contents Beautiful Soup provides more than one ways to remove contents of an element from the document tree. Each of these methods has its unique features. The clear() method is the most straight-forward. It simply removes the contents of a specified Tag element. Following example shows its usage. Example from bs4 import BeautifulSoup, NavigableString markup = ”<b>Excellent </b><u>from TutorialsPoint</u>” soup = BeautifulSoup(markup, ”html.parser”) tag = soup.find(”u”) tag.clear() print (soup.prettify()) Output <b> Excellent </b> <u> </u> It can be seen that the clear() method removes the contents, keeping the tag intact. For the following example, we parse the following HTML document and call clear() metho on all tags. <html> <body> <p> The quick, brown fox jumps over a lazy dog.</p> <p> DJs flock by when MTV ax quiz prog.</p> <p> Junk MTV quiz graced by fox whelps.</p> <p> Bawds jog, flick quartz, vex nymphs./p> </body> </html> Here is the Python code using clear() method Example from bs4 import BeautifulSoup fp = open(”index.html”) soup = BeautifulSoup(fp, ”html.parser”) tags = soup.find_all() for tag in tags: tag.clear() print (soup.prettify()) Output <html> </html> The extract() method removes either a tag or a string from the document tree, and returns the object that was removed. Example from bs4 import BeautifulSoup fp = open(”index.html”) soup = BeautifulSoup(fp, ”html.parser”) tags = soup.find_all() for tag in tags: obj = tag.extract() print (“Extracted:”,obj) print (soup) Output Extracted: <html> <body> <p> The quick, brown fox jumps over a lazy dog.</p> <p> DJs flock by when MTV ax quiz prog.</p> <p> Junk MTV quiz graced by fox whelps.</p> <p> Bawds jog, flick quartz, vex nymphs.</p> </body> </html> Extracted: <body> <p> The quick, brown fox jumps over a lazy dog.</p> <p> DJs flock by when MTV ax quiz prog.</p> <p> Junk MTV quiz graced by fox whelps.</p> <p> Bawds jog, flick quartz, vex nymphs.</p> </body> Extracted: <p> The quick, brown fox jumps over a lazy dog.</p> Extracted: <p> DJs flock by when MTV ax quiz prog.</p> Extracted: <p> Junk MTV quiz graced by fox whelps.</p> Extracted: <p> Bawds jog, flick quartz, vex
Beautiful Soup – web-scraping ”; Previous Next Scraping is simply a process of extracting (from various means), copying and screening of data. When we scrape or extract data or feeds from the web (like from web-pages or websites), it is termed as web-scraping. So, web scraping (which is also known as web data extraction or web harvesting) is the extraction of data from web. In short, web scraping provides a way to the developers to collect and analyze data from the internet. Why Web-scraping? Web-scraping provides one of the great tools to automate most of the things a human does while browsing. Web-scraping is used in an enterprise in a variety of ways − Data for Research Smart analyst (like researcher or journalist) uses web scrapper instead of manually collecting and cleaning data from the websites. Products, prices & popularity comparison Currently there are couple of services which use web scrappers to collect data from numerous online sites and use it to compare products popularity and prices. SEO Monitoring There are numerous SEO tools such as Ahrefs, Seobility, SEMrush, etc., which are used for competitive analysis and for pulling data from your client”s websites. Search engines There are some big IT companies whose business solely depends on web scraping. Sales and Marketing The data gathered through web scraping can be used by marketers to analyze different niches and competitors or by the sales specialist for selling content marketing or social media promotion services. Why Python for Web Scraping? Python is one of the most popular languages for web scraping as it can handle most of the web crawling related tasks very easily. Below are some of the points on why to choose python for web scraping − Ease of Use As most of the developers agree that python is very easy to code. We don”t have to use any curly braces “{ }” or semi-colons “;” anywhere, which makes it more readable and easy-to-use while developing web scrapers. Huge Library Support Python provides huge set of libraries for different requirements, so it is appropriate for web scraping as well as for data visualization, machine learning, etc. Easily Explicable Syntax Python is a very readable programming language as python syntax are easy to understand. Python is very expressive and code indentation helps the users to differentiate different blocks or scopes in the code. Dynamically-typed language Python is a dynamically-typed language, which means the data assigned to a variable tells, what type of variable it is. It saves lot of time and makes work faster. Huge Community Python community is huge which helps you wherever you stuck while writing code. Print Page Previous Next Advertisements ”;
Beautiful Soup – Searching the Tree ”; Previous Next In this chapter, we shall discuss different methods in Beautiful Soup for navigating the HTML document tree in different directions – going up and down, sideways, and back and forth. We shall use the following HTML string in all the examples in this chapter − html = “”” <html><head><title>TutorialsPoint</title></head> <body> <p class=”title”><b>Online Tutorials Library</b></p> <p class=”story”>TutorialsPoint has an excellent collection of tutorials on: <a href=”https://tutorialspoint.com/Python” class=”lang” id=”link1″>Python</a>, <a href=”https://tutorialspoint.com/Java” class=”lang” id=”link2″>Java</a> and <a href=”https://tutorialspoint.com/PHP” class=”lang” id=”link3″>PHP</a>; Enhance your Programming skills.</p> <p class=”tutorial”>…</p> “”” The name of required tag lets you navigate the parse tree. For example soup.head fetches you the <head> element − Example from bs4 import BeautifulSoup soup = BeautifulSoup(html, ”html.parser”) print (soup.head.prettify()) Output <head> <title> TutorialsPoint </title> </head> Going down A tag may contain strings or other tags enclosed in it. The .contents property of Tag object returns a list of all the children elements belonging to it. Example from bs4 import BeautifulSoup soup = BeautifulSoup(html, ”html.parser”) tag = soup.head print (list(tag.children)) Output [<title>TutorialsPoint</title>] The returned object is a list, although in this case, there is only a single child tag enclosed in head element. .children The .children property also returns a list of all the enclosed elements in a tag. Below, all the elements in body tag are given as a list. Example from bs4 import BeautifulSoup soup = BeautifulSoup(html, ”html.parser”) tag = soup.body print (list(tag.children)) Output [”n”, <p class=”title”><b>Online Tutorials Library</b></p>, ”n”, <p class=”story”>TutorialsPoint has an excellent collection of tutorials on: <a class=”lang” href=”https://tutorialspoint.com/Python” id=”link1″>Python</a>, <a class=”lang” href=”https://tutorialspoint.com/Java” id=”link2″>Java</a> and <a class=”lang” href=”https://tutorialspoint.com/PHP” id=”link3″>PHP</a>; Enhance your Programming skills.</p>, ”n”, <p class=”tutorial”>…</p>, ”n”] Instead of getting them as a list, you can iterate over a tag”s children using the .children generator − Example tag = soup.body for child in tag.children: print (child) Output <p class=”title”><b>Online Tutorials Library</b></p> <p class=”story”>TutorialsPoint has an excellent collection of tutorials on: <a class=”lang” href=”https://tutorialspoint.com/Python” id=”link1″>Python</a>, <a class=”lang” href=”https://tutorialspoint.com/Java” id=”link2″>Java</a> and <a class=”lang” href=”https://tutorialspoint.com/PHP” id=”link3″>PHP</a>; Enhance your Programming skills.</p> <p class=”tutorial”>…</p> .descendents The .contents and .children attributes only consider a tag”s direct children. The .descendants attribute lets you iterate over all of a tag”s children, recursively: its direct children, the children of its direct children, and so on. The BeautifulSoup object is at the top of hierarchy of all the tags. Hence its .descendents property includes all the elements in the HTML string. Example from bs4 import BeautifulSoup soup = BeautifulSoup(html, ”html.parser”) print (soup.descendants) The .descendents attribute returns a generator, which can be iterated with a for loop. Here, we list out the descendents of the head tag. Example from bs4 import BeautifulSoup soup = BeautifulSoup(html, ”html.parser”) tag = soup.head for element in tag.descendants: print (element) Output <title>TutorialsPoint</title> TutorialsPoint The head tag contains a title tag, which in turn encloses a NavigableString object TutorialsPoint. The <head> tag has only one child, but it has two descendants: the <title> tag and the <title> tag”s child. But the BeautifulSoup object only has one direct child (the <html> tag), but it has many descendants. Example from bs4 import BeautifulSoup soup = BeautifulSoup(html, ”html.parser”) tags = list(soup.descendants) print (len(tags)) Output 27 Going Up Just as you navigate the downstream of a document with children and descendents properties, BeautifulSoup offers .parent and .parent properties to navigate the upstream of a tag .parent every tag and every string has a parent tag that contains it. You can access an element”s parent with the parent attribute. In our example, the <head> tag is the parent of the <title> tag. Example from bs4 import BeautifulSoup soup = BeautifulSoup(html, ”html.parser”) tag = soup.title print (tag.parent) Output <head><title>TutorialsPoint</title></head> Since the title tag contains a string (NavigableString), the parent for the string is title tag itself. Example from bs4 import BeautifulSoup soup = BeautifulSoup(html, ”html.parser”) tag = soup.title string = tag.string print (string.parent) Output <title>TutorialsPoint</title> .parents You can iterate over all of an element”s parents with .parents. This example uses .parents to travel from an <a> tag buried deep within the document, to the very top of the document. In the following code, we track the parents of the first <a> tag in the example HTML string. Example from bs4 import BeautifulSoup soup = BeautifulSoup(html, ”html.parser”) tag = soup.a print (tag.string) for parent in tag.parents: print (parent.name) Output Python p body html [document] Sideways The HTML tags appearing at the same indentation level are called siblings. Consider the following HTML snippet <p> <b> Hello </b> <i> Python </i> </p> In the outer <p> tag, we have <b> and <i> tags at the same indent level, hence they are called siblings. BeautifulSoup makes it possible to navigate between the tags at same level. .next_sibling and .previous_sibling These attributes respectively return the next tag at the same level, and the previous tag at same level. Example from bs4 import BeautifulSoup soup = BeautifulSoup(“<p><b>Hello</b><i>Python</i></p>”, ”html.parser”) tag1 = soup.b print (“next:”,tag1.next_sibling) tag2 = soup.i print (“previous:”,tag2.previous_sibling) Output next: <i>Python</i> previous: <b>Hello</b> Since the <b> tag doesn”t have a sibling to its left, and <i> tag doesn”t have a sibling to its right, it returns Nobe in both cases. Example from bs4 import BeautifulSoup soup = BeautifulSoup(“<p><b>Hello</b><i>Python</i></p>”, ”html.parser”) tag1 = soup.b print
Beautiful Soup – Find Elements by Class ”; Previous Next CSS (cascaded Style sheets) is a tool for designing the appearance of HTML elements. CSS rules control the different aspects of HTML element such as size, color, alignment etc.. Applying styles is more effective than defining HTML element attributes. You can apply styling rules to each HTML element. Instead of applying style to each element individually, CSS classes are used to apply similar styling to groups of HTML elements to achieve uniform web page appearance. In BeautifulSoup, it is possible to find tags styled with CSS class. In this chapter, we shall use the following methods to search for elements for a specified CSS class − find_all() and find() methods select() and select_one() methods Class in CSS A class in CSS is a collection of attributes specifying the different features related to appearance, such as font type, size and color, background color, alignment etc. Name of the class is prefixed with a dot (.) while declaring it. .class { css declarations; } A CSS class may be defined inline, or in a separate css file which needs to be included in the HTML script. A typical example of a CSS class could be as follows − .blue-text { color: blue; font-weight: bold; } You can search for HTML elements defined with a certain class style with the help of following BeautifulSoup methods. For the purpose of this chapter, we shall use the following HTML page − <html> <head> <title>TutorialsPoint</title> </head> <body> <h2 class=”heading”>Departmentwise Employees</h2> <ul> <li class=”mainmenu”>Accounts</li> <ul> <li class=”submenu”>Anand</li> <li class=”submenu”>Mahesh</li> </ul> <li class=”mainmenu”>HR</li> <ul> <li class=”submenu”>Rani</li> <li class=”submenu”>Ankita</li> </ul> </ul> </body> </html> Using find() and find_all() To search for elements with a certain CSS class used in a tag, use attrs property of Tag object as follows − Example from bs4 import BeautifulSoup fp = open(“index.html”) soup = BeautifulSoup(fp, ”html.parser”) obj = soup.find_all(attrs={“class”: “mainmenu”}) print (obj) Output [<li class=”mainmenu”>Accounts</li>, <li class=”mainmenu”>HR</li>] The result is a list of all the elements with mainmenu class To fetch the list of elements with any of the CSS classes mentioned in in attrs property, change the find_all() statement to − obj = soup.find_all(attrs={“class”: [“mainmenu”, “submenu”]}) This results into a list of all the elements with any of CSS classes used above. [ <li class=”mainmenu”>Accounts</li>, <li class=”submenu”>Anand</li>, <li class=”submenu”>Mahesh</li>, <li class=”mainmenu”>HR</li>, <li class=”submenu”>Rani</li>, <li class=”submenu”>Ankita</li> ] Using select() and select_one() You can also use select() method with the CSS selector as the argument. The (.) symbol followed by the name of the class is used as the CSS selector. Example from bs4 import BeautifulSoup fp = open(“index.html”) soup = BeautifulSoup(fp, ”html.parser”) obj = soup.select(“.heading”) print (obj) Output [<h2 class=”heading”>Departmentwise Employees</h2>] The select_one() method returns the first element found with the given class. obj = soup.select_one(“.submenu”) Print Page Previous Next Advertisements ”;
Beautiful Soup – Home
Beautiful Soup Tutorial PDF Version Quick Guide Resources Job Search Discussion In this tutorial, we will show you, how to perform web scraping in Python using Beautiful Soup 4 for getting data out of HTML, XML and other markup languages. In this we will try to scrap webpage from various different websites (including IMDB). We will cover beautiful soup 4, python basic tools for efficiently and clearly navigating, searching and parsing HTML web page. We have tried to cover almost all the functionalities of Beautiful Soup 4 in this tutorial. You can combine multiple functionalities introduced in this tutorial into one bigger program to capture multiple meaningful data from the website into some other sub-program as input. Audience This tutorial is basically designed to guide you in scarping a web page. Basic requirement of all this is to get meaningful data out of huge unorganized set of data. The target audience of this tutorial can be anyone of − Anyone who wants to know – how to scrap webpage in python using BeautifulSoup. Any data science developer/enthusiasts or anyone, how wants to use this scraped (meaningful) data to different python data science libraries to make better decision. Prerequisites Though there is NO mandatory requirement to have for this tutorial. However, if you have any or all (supercool) prior knowledge on any below mentioned technologies that will be an added advantage − Knowledge of any web related technologies (HTML/CSS/Document object Model etc.). Python Language (as it is the python package). Developers who have any prior knowledge of scraping in any language. Basic understanding of HTML tree structure. Print Page Previous Next Advertisements ”;