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Python Web Scraping: Data Extraction with Beautiful Soup

Overview   Welcome to Python Web Scraping: Data Extraction with Beautiful Soup. This comprehensive course will teach you the essentials …

Python Web Scraping: Data Extraction with Beautiful Soup

Python Web Scraping: Data Extraction with Beautiful Soup

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Python Web Scraping: Data Extraction with Beautiful Soup Overview

 

Welcome to Python Web Scraping: Data Extraction with Beautiful Soup. This comprehensive course will teach you the essentials of web scraping using Python and the Beautiful Soup library. First, you’ll set up your environment and understand HTML structures. Next, you’ll learn to make requests and navigate HTML documents using CSS selectors. With this solid foundation, you’ll dive into Beautiful Soup and master techniques for extracting data efficiently. Finally, the course culminates in four hands-on projects where you’ll create practical applications like price trackers and data extractors from popular websites. By the end of this course, you’ll be well-equipped to scrape data from the web and use it for various applications.

Python Web Scraping: Data Extraction Learning Outcomes

  • Understand the basics of web scraping and its applications.
  • Set up the necessary tools and libraries for web scraping in Python.
  • Identify and navigate different parts of an HTML document.
  • Use CSS selectors to pinpoint elements within an HTML document.
  • Make HTTP requests using the Requests library.
  • Parse HTML content with the Beautiful Soup library.
  • Extract specific data points from web pages using Beautiful Soup.
  • Develop a price tracker for eBay using web scraping techniques.
  • Extract and analyse top hits from the Billboard website.
  • Scrape and compile movie recommendations from the IMDB website

Python Web Scraping: Data Extraction Who Is This Course For

Are you interested in learning how to extract data from the web using Python? If so, this course is perfect for you. Whether you’re a beginner starting with web scraping, a developer looking to enhance your skills, or a data analyst aiming to automate data collection, this course is tailored to meet your needs. You don’t need prior experience in web scraping. However, a basic understanding of Python programming will be beneficial.

Eligibility Requirements

You only need a basic understanding of Python programming to start this course. You don’t need any prior knowledge of web scraping. However, having a willingness to learn and explore the dynamic field of data extraction will help you succeed. Ensure you have access to a computer with an internet connection for downloading necessary tools and libraries.

Entry Requirements

  • Age Requirement: Applicants must be aged 16 or above, allowing both young learners and adults to engage in this educational pursuit.
  • Academic Background: There are no specific educational prerequisites, opening the door to individuals from diverse academic histories.
  • Language Proficiency: A good command of the English language is essential for comprehension and engagement with the course materials.
  • Numeracy Skills: Basic numeracy skills are required for understanding nutritional data and dietary planning.

Why Choose Us

  • Affordable, engaging & high-quality e-learning study materials;
  • Tutorial videos/materials from the industry-leading experts;
  • Study in a user-friendly, advanced online learning platform;
  • Efficient exam systems for the assessment and instant result;
  • The UK & internationally recognised accredited
  • Access to course content on mobile, tablet or desktop from anywhere, anytime;
  • The benefit of career advancement opportunities;
  • 24/7 student support via email.

Career Path

Completing this course will open doors to numerous career opportunities in the tech industry. You’ll gain a valuable skill in web scraping, essential for data analysis, digital marketing, and software development. You can pursue roles as a data analyst or software developer, or even launch your own projects for data-driven insights. The skills you acquire from this course apply to various fields, making you a versatile professional in the job market.

 

Python Web Scraping: Data Extraction with Beautiful Soup
Python Web Scraping: Data Extraction with Beautiful Soup

Course Curriculum

Introduction
Course Outline 00:06:00
What is Web Scraping? 00:09:00
Why use Python for Web Scraping? 00:06:00
Applications of Web Scraping 00:11:00
Is Web Scraping legal? 00:08:00
Course Materials 00:00:00
Requirements and Installation of Tools
Anaconda Installation: Mac and Linux 00:03:00
Anaconda Installation: Windows 00:04:00
Structure and parts of an HTML Document
Doctype 00:05:00
Head Tag 00:03:00
Head and Paragraph tags 00:04:00
List tags 00:03:00
Table tags 00:04:00
Anchor tags 00:05:00
Grouping tags 00:07:00
CSS Selectors
Class 00:05:00
Id selector 00:02:00
Tag or element 00:04:00
Attribute selectors 00:05:00
Pseudo class selectors 00:09:00
Making Requests using the Requests Library
What is a request? 00:05:00
GET request 00:04:00
POST request 00:02:00
PUT request 00:04:00
DELETE request 00:03:00
How to make requests in Python? 00:03:00
HTTP Response codes 00:09:00
Introduction to Beautiful Soup
What is Beautiful Soup? 00:04:00
Inspecting a website on the browser 00:03:00
How to get the HTML code from a website 00:07:00
Extracting content using Beautiful Soup
By element name 00:03:00
Using find and find_all methods 00:10:00
Using CSS selectors: Element or tag name 00:02:00
Using CSS selectors: ID and Class names 00:03:00
Using CSS selectors: Pseudo class selector 00:04:00
Using CSS selectors: Attribute name 00:03:00
Project One: Creating an ebay Price Tracker
Project Description – 1 00:03:00
Inspecting the website and identifying the key elements – 1 00:03:00
Scraping the website – 1 00:12:00
Project Two: Obtaining the top 20 hits from a Billboard website
Project Description – 2 00:01:00
Inspecting the website – 2 00:02:00
Scraping the website – 2 00:08:00
Project Three: Scraping the IMDB website for movie recommendations
Project Description – 3 00:02:00
Inspecting the website – 3 00:03:00
Scraping the website – 3 00:09:00
Project Four: Creating a Bitcoin Price Tracker
Project Description – 4 00:02:00
Inspecting the website – 4 00:02:00
Scraping the website – 4 00:08:00

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