
Discover how to use Python and the Beautiful Soup library to extract data from websites and social media quickly, enabling data analytics and potential new business opportunities.
Meet your instructor, a software developer and freelance writer in content design, who has two small startups as a founder, inviting you to follow updates on new courses and technologies.
Explore what web scraping is, including harvesting data from websites, extracting content like news and posts, and turning unstructured web data into machine readable structure and data for analysis.
Web scraping lets you quickly collect data from multiple internet sources to power models and business insights, enabling features like e-commerce recommendations and data analytics services.
Explore Beautiful Soup, a Python library for parsing and examining documents, and learn how it enables you to extract data from HDMI pages with minimal code.
Create a project folder, ensure Python is installed, choose an IDE, and run the installation command to add Beautiful Soup for web scraping projects.
Learn to run a BeautifulSoup (bs4) program to extract the blog title, subheadings, and all links from a web page by importing the necessary packages and parsing the html.
Learn to fetch a webpage with a get request and extract its title using Beautiful Soup in Python, demonstrating how to identify and replace the page title in your project.
Learn to extract urls from a webpage in Python by iterating through anchor tags and anchor texts on the homepage, printing the links, and exploring accessible links.
Learn to extract paragraphs and headings from web pages using Beautiful Soup in Python, printing paragraph text and navigating heading tags with find_all.
Explore extracting images, bold and italic formatting, and div tags from web pages using Beautiful Soup in Python; store image links and format data meaningfully.
Learn how to use Beautiful Soup to parse HTML, view the document structure with the prettify method, and extract data by inspecting tags and page sources.
Practice extracting stock prices from html with Beautiful Soup by building a project that fetches Sensex data from Yahoo Finance. Update every second and build a stock market prediction system.
Build a live stock price scraper in Python using Beautiful Soup to fetch and continuously display the current price from stock market websites.
Export scraped data to a csv file named output.csv using Python's csv module, creating the file if needed and writing rows from the extracted page.
Explore a YouTube channel that aggregates information on the latest technologies, career development tips, interview preparation, and digital marketing, along with hands-on projects and online courses.
The internet is full of valuable data, but most of it isn’t available in ready-to-use formats. Web scraping bridges this gap by allowing you to extract information from websites and transform it into structured datasets for analysis. From monitoring competitor pricing to collecting reviews or powering your own startup idea, web scraping is a powerful skill with endless real-world applications.
This course is designed to take you from the basics of web scraping all the way to building a complete project using Python and the Beautiful Soup (bs4) library. You’ll start by learning how web pages are structured with HTML and how to parse and navigate them programmatically. Through step-by-step lessons, you’ll practice extracting data from websites, handling common challenges such as nested elements, and cleaning and organizing the collected information.
What makes this course unique is its strong focus on hands-on practice. Each module includes examples and exercises to reinforce your skills, leading up to a real-world project where you’ll apply everything you’ve learned to build a working scraper. By the end of the course, you’ll be able to:
Understand web page structures and HTML parsing
Write Python scripts using Beautiful Soup to extract data
Clean, format, and prepare scraped data for analysis
Build a project that automates data collection from websites
No prior web scraping experience is required — just basic Python knowledge and curiosity. Join now and unlock the ability to turn web data into powerful insights!