How to extract attributes from HTML elements using Beautiful Soup

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by vsasikalabe dot icon Updated: Aug 29, 2023

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Python developers use a tool called BeautifulSoup. It helps extract information from HTML or XML. Developers can use the BeautifulSoup parser tool to search for and edit the parse tree. 


We can use the .text attribute on the soup object to extract text from an HTML element. We use a for loop to iterate each element for the object as a list (e.g., found using find_all). And also use the text attribute on each element. If you use the BeautifulSoup object or a Tag object as a function, you can use a shortcut with find_all(). It is the same as calling find_all() on that object. These two lines of code are an example of using find_all().    

  

soup.find_all("a") soup("a")    

  

(or)    

  

soup.title.find_all(string=True) soup.title(string=True)    

  

To parse the HTML, we must create a BeautifulSoup object and add it as a required argument. We can add the function to the string parameter of the find_all() method. The BeautifulSoup method utilizes this for applying a function. By using pip install beautifulsoup4, we can install beautiful soup.    

Simple Beautifulsoup HTML parser:   

from bs4 import BeautifulSoup   

  

soup = BeautifulSoup("<p>I am learning <span>BeautifulSoup</span></p>")    

  

soup.find('span')    

  

We should call on it to turn it into a normal Python Unicode string to use outside of Beautiful Soup. Beautiful soup will screen against each tag's 'href' attribute if you want to pass in a value. When you integrate many attribute values, turn a tag back into a string. BeautifulSoup's method is a popular tool for finding the first page element in an HTML or XML page. It matches your query option. It sends an HTTP GET request to the webpage URL that may scrape, which will respond with HTML content. If an HTML file saved is somewhere on your computer, you may also parse a local HTML File with BeautifulSoup.   

  

We must import the module and assign an object to the string parameter of the method. With BeautifulSoup, developers use regular expressions to parse an HTML page. It is a waste of time and memory to parse the whole document so we can review it again, looking for a tag.    

  

Beautiful soup offers various tree-searching methods. They take the same arguments and keyword arguments. Searching for a tag with a certain CSS class is very useful. But the CSS attribute name, class, is a reserved word in Python. An element matches the filter and shows up later in the document than the starting element. Beautiful soup finds the title tag if it's allowed to look at all successors of the HTML tag. But it finds nothing when it comes to the html tag's immediate children.   

  

You can process the HTML of the page in many ways:    

  • HTTP Requests    
  • Browser-based application    
  • Downloading from the web browser    

  

If you want to retrieve many values of attributes from the source, you can use list comprehension. The HTML tags and attributes are case-insensitive. All HTML parsers have converted the tag and attribute names to lowercase. You can filter many attributes simultaneously by passing in multiple keyword arguments. We can use this library to get a response object from a URL. We must create an object from the HTML content in the response and use it to find the first paragraph tag. Then, it will print the first paragraph tag. Beautiful soup's main advantage is searching the parse tree. We can change the tree and write your modifications as a new HTML or XML document.    

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution, we used the BeautifulSoup library of Python.

from bs4 import BeautifulSoup

html = '''
<div id="rp_NaNnetSales" class="finsummary_nlptext add2Margin account nlpmain" style="display: inline;">
  <div class="add2Margin account nlpremark"><br><br>
    <div>Segment revenue and results</div>
    <div></div>
  </div>
  <div class="add2Margin account nlpremark">This is my my revenue&nbsp;</div>
  <div class="add2Margin account nlpremark">As a result, the Group turned in a respectable revenue of S$3,484.6 million for the financial year ended 31 December 2018 (' FY 2018'). &nbsp; Although FY 2018 revenue was 13.0% lower year- on- year, Venture attained a compounded annual growth rate
    of 8.4% over the period from FY 2013 to FY 2018. ---- P11
  </div>
</div>
<div id="rp_grossProfit" class="add2Margin account rationmain"><span class="ratio_name "><b>Gross Profit</b> increased by 191.3% to  SGD 2,625,295.0 mil in FY18 (FY17: SGD 901,244.0 mil)</span>
</div>
<div id="rp_NaNgrossProfit" class="finsummary_nlptext add2Margin account nlpmain" style="display: inline;"></div>
<div id="rp_grossProfitMarginPercentage" class="add2Margin account rationmain"><span class="ratio_name "><b>GP margin</b> was stable at  100.0%  in FY18 (FY17:  100.0% )</span>
</div>
'''

soup1 = BeautifulSoup(html, 'lxml')

for child1 in soup1.recursiveChildGenerator():
    if child1.name == "div":
        # for tag in child1.find_all("div"):
        # print(f'{child1.name}: {child1.text}')
        print(f'{child1.name}: {child1.get("id")}')

div: rp_NaNnetSales
div: None
div: None
div: None
div: None
div: None
div: rp_grossProfit
div: rp_NaNgrossProfit
div: rp_grossProfitMarginPercentage

Instructions

Follow the steps carefully to get the output easily.


  1. Download and Install the PyCharm Community Edition on your computer.
  2. Open the terminal and install the required libraries with the following commands.
  3. Install BeautifulSoup - pip install BeautifulSoup
  4. Install lxml - pip install lxml
  5. Create a new Python file on your IDE.
  6. Copy the snippet using the 'copy' button and paste it into your Python file.
  7. Run the current file to generate the output.


I hope you found this useful.


I found this code snippet by searching for ' Python_BeautifulSoup : Extracting attributes data from html file' in Kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

  1. PyCharm Community Edition 2022.3.1
  2. The solution is created in Python 3.11.1 Version
  3. BeautifulSoup4 4.12.2 Version
  4. lxml - 4.9.3 Version


Using this solution, we can able to extract attributes from HTML elements using Beautiful Soup with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to extract attributes from HTML elements using Beautiful Soup.

Dependent Libraries

beautifulsoupby waylan

Python doticonstar image 138 doticonVersion:Currentdoticon
License: Others (Non-SPDX)

Git Clone of Beautiful Soup (https://code.launchpad.net/~leonardr/beautifulsoup/bs4)

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            beautifulsoupby waylan

            Python doticon star image 138 doticonVersion:Currentdoticon License: Others (Non-SPDX)

            Git Clone of Beautiful Soup (https://code.launchpad.net/~leonardr/beautifulsoup/bs4)
            Support
              Quality
                Security
                  License
                    Reuse

                      lxmlby lxml

                      Python doticonstar image 2351 doticonVersion:lxml-4.9.2doticon
                      License: Others (Non-SPDX)

                      The lxml XML toolkit for Python

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                          Security
                            License
                              Reuse

                                lxmlby lxml

                                Python doticon star image 2351 doticonVersion:lxml-4.9.2doticon License: Others (Non-SPDX)

                                The lxml XML toolkit for Python
                                Support
                                  Quality
                                    Security
                                      License
                                        Reuse

                                          If you do not have keras, and Numpy libraries that are required to run this code, you can install them by clicking on the above link. You can search for any dependent library on kandi like beautifulsoup, and lxml.

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                                          FAQ:   

                                          1. What is web scraping, and how does Beautiful Soup search API help with it?   

                                          Web scraping is like browsing different website pages. You can use it to copy and paste all the contents. When you run the code, it sends a request to the server, and the response contains the data you get. We can parse the response data and extract the parts you want.     

                                            

                                          BeautifulSoup is a popular Python library. It helps in parsing HTML and XML documents. It provides a simple and inherent API. The parse tree of an HTML or XML document utilizes it for navigating, searching, and modifying.     

                                            

                                          2. What is the syntax for bs4 import BeautifulSoup?   

                                          • Go to the start menu.     
                                          • Type cmd. Then, click on the cmd icon.     
                                          • Click run as administrator.     
                                          • Then type pip install beautifulsoup4.   

                                            

                                          3. How do I access a tag's 'href' attribute to scrape data?   

                                          • We import and alias the required packages.     
                                          • They define the website.     
                                          • The program opens the URL and reads data from it.     
                                          • We use the 'BeautifulSoup' function to extract the text from the webpage.  
                                          • We use the 'find_all' function to extract text from the webpage data.     
                                          • The console prints the href links.     

                                            

                                          4. What attribute values can users access using Beautiful Soup?   

                                          The contents attribute is a list of all its children's elements. If the present element does not contain nested HTML elements, So.contents[0] will be the text inside. After we get the element that contains the data, we may use the .find_all() or find() methods.    

                                            

                                          5. Explain selector syntax and how to use it within the library?   

                                          • Import necessary modules.     
                                          • Load an HTML document.     
                                          • Pass the HTML document into the Beautifulsoup() function.     
                                          • Use the select() method and pass the CSS attributes inside the function. e.g., soup.select('div p')    

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