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Web Scrpaing with Python using Beautiful Soup

Web Scrpaing with Python using Beautiful Soup

Course Starts:  July 15th    |     Duration: 2 Weeks 

Course Fee: $2950


Who can learn ?

To learn web scraping with Python using BeautifulSoup, basic Python programming skills, familiarity with HTML/CSS for understanding webpage structure, and proficiency in navigating the command line for environment setup and package management are recommended. Understanding data handling in Python and basic web concepts (HTTP/HTTPS, URLs) will also facilitate learning and application of web scraping techniques effectively.


Why Learn ?

Web Scraping with Python using Beautiful Soup is a job oriented course and is advantageous for job seekers for several reasons:


  • High Demand: Many industries rely on data-driven insights obtained through web scraping. Job seekers with web scraping skills are in demand across sectors such as finance, marketing, e-commerce, and research.

  • Automation and Efficiency: Companies use web scraping to automate data collection tasks that would otherwise be time-consuming if done manually. Job seekers proficient in web scraping can help businesses streamline processes and save resources.

  • Versatility: Web scraping skills are versatile and applicable to various job roles, including data analysis, business intelligence, market research, and more. Employers value candidates who can gather and analyze data from web sources effectively.

  • Cost-Effective Data Acquisition: Web scraping allows organizations to gather data from multiple sources without relying on costly third-party providers. This cost-effectiveness makes web scraping skills particularly valuable.

  • Competitive Advantage: Professionals skilled in web scraping can provide valuable competitive intelligence, helping companies stay ahead in their respective markets by monitoring competitors' activities and trends.

  • Technical Proficiency: Learning web scraping with Python using BeautifulSoup demonstrates technical proficiency in data extraction, parsing, and manipulation. These skills are highly transferable and can be applied to various data-related tasks.

  • Problem-Solving Skills: Web scraping often involves overcoming challenges related to dynamic content, anti-scraping techniques, and data parsing. Job seekers proficient in web scraping showcase strong problem-solving abilities.

  • Innovation and Customization: Companies often require custom scraping solutions tailored to their specific needs. Job seekers who can develop and implement such solutions using Python and BeautifulSoup are highly valued for their innovation and adaptability.


Overall, mastering web scraping with Python using BeautifulSoup enhances job seekers' marketability by equipping them with sought-after skills that are essential for data-driven decision-making and competitive analysis in today's digital landscape.


Returns and Refund Policy: 

The course fee is 100%  refundable if students cannot join the program and want to cancel their admission. Once students join the program, payment cannot be refunded. 

  • Day 1: Introduction to Web Scraping

    • Overview of web scraping and its applications
    • Ethics and legality considerations

    Day 2: HTML Basics

    • Understanding the structure of HTML
    • Introduction to CSS selectors

    Day 3: Installing BeautifulSoup and Setting Up Environment

    • Installing BeautifulSoup and required libraries
    • Basic HTML parsing with BeautifulSoup

    Day 4: Navigating and Searching the HTML Tree

    • Methods for navigating and searching the HTML structure
    • Extracting data using BeautifulSoup

    Day 5: Handling Different HTML Tags and Attributes

    • Extracting text and attribute values
    • Practical exercises with different tag types and classes

    Learning Outcomes for Week 1:

    • Understand the basics of web scraping and its ethical implications.
    • Navigate and parse HTML documents using BeautifulSoup.
    • Extract data from various HTML elements and handle different tag types effectively.
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