How to extract links from HTML using BeautifulSoup

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by vigneshchennai74 dot icon Updated: Aug 16, 2023

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"get_all_links_from_website()" function is a Python code snippet. "get_all_links_from_website()" extracts all the links from a given website. The tool is versatile. You can use it for web scraping and data extraction. It uses Python and BeautifulSoup. The Function allows automation of the process of retrieving links from a website.   


The primary parameter is the URL of the website you want to scrape. This can be any valid URL pointing to the target website. Automate link retrieval from a website using Python and BeautifulSoup. Filter links by a specific domain. The path parameter enables you to focus the extraction on the website page.   

Here are some tips for using the "get_all_links_from_website()" Function:   

  • To use the Function, call it and pass the URL of the website you want to extract links from as an argument.   
  • If you want to retrieve links from a specific domain only. Provide the domain parameter along with the URL.   
  • If you need links from a specific period, use the date and time parameters to set the desired timeframe.   

This includes both internal and external links. Internal links refer to URLs within the same website. At the same time, external links point to URLs outside the website's domain.   


You can extract the function "get_all_links_from_website()" in various ways. Extracting links from the link text is one strategy. This requires parsing the HTML content and locating the anchor tag-associated text. Link extraction based on the URL itself is yet another approach. You can retrieve the URLs from anchor tags by retrieving the href attribute value.   

  • Extract product links from an e-commerce site for market research.   
  • Collect news article links from a website for sentiment analysis or topic modeling.   
  • Gather links to blog posts from a programming site to create a curated resource list.   


The "get_all_links_from_website()" Function is a tool for web scraping and data extraction. With Python and BeautifulSoup, it automates link retrieval from a website. It enables data-driven applications and analysis.   

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


Beautiful Soup is a Python library for parsing and navigating HTML and XML documents, making it easier to extract and manipulate data from web pages.

  1. Download and install VS Code on your desktop.
  2. Open VS Code and create a new file in the editor.
  3. Copy the code snippet that you want to run, using the "Copy" button or by selecting the text and using the copy command (Ctrl+C on Windows/Linux or Cmd+C on Mac).,
  4. Paste the code into your file in VS Code, and save the file with a meaningful name and the appropriate file extension for Python use (.py).file extension.
  5. To run the code, open the file in VS Code and click the "Run" button in the top menu, or use the keyboard shortcut Ctrl+Alt+N (on Windows and Linux) or Cmd+Alt+N (on Mac). The output of your code will appear in the VS Code output console.
  6. Paste the code into your file in VS Code.
  7. Save the file with a meaningful name and the appropriate file extension for Python use (.py).
  8. Install Beautiful Soup Library; Open your command prompt or terminal.
  9. Type the following command and press Enter: pip install BeautifulSoup
  10. Run the Code

I hope you have found this helpful. I have added the version information in the following section.

I found this code snippet by searching "Extract all links after a particular tag using beautifulsoup "in Kandi. you can try any use case.

Environment Tested

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

  1. The solution is created and tested using Vscode 1.77.2 version
  2. The solution is created in Python 3.7.15 version
  3. The solution is created in Beautiful Soup4 4.12.2


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1. What is URL extraction, and how can it help to get all links from a website?   

URL extraction is the process of retrieving and collecting URLs from a website. It helps to get all the links on a website, allowing you to access and analyze different web pages. By extracting URLs,   

  • you can gather data for web scraping   
  • perform data analysis   
  • build web crawlers to navigate through websites.   


2. How do I use bs4 import BeautifulSoup to get the links from a website?   

To get the links from a website using Python, you can use the "bs4" library and import the "BeautifulSoup" class. You can create a BeautifulSoup object and pass the HTML content of the webpage as input. Then, you can use various methods, such as "find_all" or "select", to locate and extract the desired URLs.   


3. What are the pros of using Python for this particular task?   

Python programming language offers several advantages for extracting links from a website. It provides a rich ecosystem of tools designed for web scraping tasks. The simplicity and readability of Python code make it easy to work with HTML.   


4. How do you parse HTML sources to find all the URLs on a website?   

To analyze the structure and content of an HTML document, you use BeautifulSoup. To find URLs, inspect the "a" tag and extract the "href" attribute.   


5. Can the requests library extract specific URLs from a web page?   

You can extract specific URLs from a web page in Python using the requests library. The requests library enables you to send HTTP requests to retrieve web pages. Once you have obtained the HTML content of a web page using requests. You can pass it to BeautifulSoup for parsing.