Python Web Scraping: Data Extraction With Beautiful Soup

Delving into Web Scraping with Python: Beautiful Soup, HTML Parsing, CSS Selectors & Practical Projects

What you'll learn

HTML & CSS Basics: Understand and navigate webpage structures for effective scraping.

Beautiful Soup Mastery: Harness the full power of Beautiful Soup for advanced data extraction.

HTTP Requests Management: Send, handle, and interpret web requests using the Python Requests library.

Response Code Interpretation: Decode varying HTTP response codes and their implications.

Real-World Scraping Projects: Build practical scrapers for tasks like price tracking and content fetching.

CSS Selectors: Utilize selectors to target specific elements and data points on a webpage.

Data Transformation: Convert raw scraped data into usable and actionable formats.

Ethical Web Scraping: Grasp the legal and ethical considerations of data extraction from websites.

Requirements

Computer with Internet Access: As this is a web scraping course, a stable internet connection is a must for accessing and scraping web data.

Familiarity with Web Browsers: An understanding of how to navigate web browsers and use their developer tools can be helpful for inspecting website elements.

Curiosity and Problem-Solving Mindset: While not a tangible prerequisite, coming into the course with a genuine interest in data and a keenness to solve problems will certainly aid in grasping concepts faster.

Basic Python Knowledge: A foundational understanding of Python programming will be helpful since the course is tailored around Python-based tools and libraries.

Description

Harness the potential of extracting web data with our detailed course on Web Scraping using Beautiful Soup in Python. In the era where data equates to valuable assets, mastering the art of data extraction can lead to a myriad of possibilities. This course is perfect for those aiming to collect data for research, business analysis, or web content monitoring.Begin your journey with an introduction to the basics of web scraping. Learn why Python and its robust library, Beautiful Soup, are favorites among developers and data enthusiasts. Immerse yourself in the details of HTML structures, learning to identify and navigate through various HTML tags and mastering CSS selectors to precisely extract the data you need.Take advantage of the Requests library for easy and effective management of HTTP requests, simplifying the process of web content retrieval. Advance your skills with hands-on experience in Beautiful Soup, covering everything from fundamental parsing to sophisticated data extraction methods.Practical application is key. Our course offers numerous real-world projects, giving you the chance to apply your skills in different settings, including tracking eBay prices, extracting top hits from Billboard, sourcing movie recommendations from IMDB, and keeping an eye on Bitcoin prices.Complete this course with the ability to effortlessly scrape web data and turn it into valuable insights. Sign up now and take the first step towards becoming a web scraping expert!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 What is Web Scraping?

Lecture 3 Why use Python for Web Scraping?

Lecture 4 Applications of Web Scraping

Lecture 5 Is Web Scraping legal?

Section 2: Requirements and Installation of Tools

Lecture 6 Anaconda Installation: Mac and Linux

Lecture 7 Anaconda Installation: Windows

Section 3: Structure and parts of an HTML Document

Lecture 8 Doctype

Lecture 9 Head Tag

Lecture 10 Body Tag

Section 4: Identifying elements of an HTML Document

Lecture 11 Head and Paragraph tags

Lecture 12 List tags

Lecture 13 Table tags

Lecture 14 Anchor tags

Lecture 15 Grouping tags

Section 5: CSS Selectors

Lecture 16 Class

Lecture 17 Id selector

Lecture 18 Tag or element

Lecture 19 Attribute selectors

Lecture 20 Pseudo class selectors

Section 6: Making Requests using the Requests Library

Lecture 21 What is a request?

Lecture 22 GET request

Lecture 23 POST request

Lecture 24 PUT request

Lecture 25 DELETE request

Lecture 26 How to make requests in Python?

Lecture 27 HTTP Response codes

Section 7: Introduction to Beautiful Soup

Lecture 28 What is Beautiful Soup?

Lecture 29 Inspecting a website on the browser

Lecture 30 How to get the HTML code from a website

Section 8: Extracting content using Beautiful Soup

Lecture 31 By element name

Lecture 32 Using find and find_all methods

Lecture 33 Using CSS selectors: Element or tag name

Lecture 34 Using CSS selectors: ID and Class names

Lecture 35 Using CSS selectors: Pseudo class selector

Lecture 36 Using CSS selectors: Attribute name

Section 9: Project One: Creating an ebay Price Tracker

Lecture 37 Project Description

Lecture 38 Inspecting the website and identifying the key elements

Lecture 39 Scraping the website

Section 10: Project Two: Obtaining the top 20 hits from a Billboard website

Lecture 40 Project Description

Lecture 41 Inspecting the website

Lecture 42 Scraping the website

Section 11: Project Three: Scraping the IMDB website for movie recommendations

Lecture 43 Project Description

Lecture 44 Inspecting the website

Lecture 45 Scraping the website

Section 12: Project Four: Creating a Bitcoin Price Tracker

Lecture 46 Project Description

Lecture 47 Inspecting the website

Lecture 48 Scraping the website

Budding Data Enthusiasts: Anyone intrigued by the vast world of web data and eager to derive insights from it will find this course immensely valuable.,Python Programmers: Individuals with a foundation in Python, looking to expand their skillset into web scraping and data extraction realms.,Digital Marketers: Marketers keen on tracking competitor data, customer reviews, or market trends can harness these skills for better insights.,Business Analysts: Analysts looking to gather data for market research, product comparisons, or customer sentiment analysis will benefit from the course's practical approach.,Researchers and Academicians: Professionals requiring data for analysis, research papers, or academic projects will gain the ability to gather precise datasets from the web.,Beginners & Career-Changers: Even if you're just starting out or contemplating a shift into a data-centric role, this course provides the building blocks for a strong foundation in web data extraction.