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

What you will 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.

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.


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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!

English
language

Content

Introduction

Introduction
What is Web Scraping?
Why use Python for Web Scraping?
Applications of Web Scraping
Is Web Scraping legal?

Requirements and Installation of Tools

Anaconda Installation: Mac and Linux
Anaconda Installation: Windows

Structure and parts of an HTML Document

Doctype
Head Tag
Body Tag

Identifying elements of an HTML Document

Head and Paragraph tags
List tags
Table tags
Anchor tags
Grouping tags

CSS Selectors

Class
Id selector
Tag or element
Attribute selectors
Pseudo class selectors

Making Requests using the Requests Library

What is a request?
GET request
POST request
PUT request
DELETE request
How to make requests in Python?
HTTP Response codes

Introduction to Beautiful Soup

What is Beautiful Soup?
Inspecting a website on the browser
How to get the HTML code from a website

Extracting content using Beautiful Soup

By element name
Using find and find_all methods
Using CSS selectors: Element or tag name
Using CSS selectors: ID and Class names
Using CSS selectors: Pseudo class selector
Using CSS selectors: Attribute name

Project One: Creating an ebay Price Tracker

Project Description
Inspecting the website and identifying the key elements
Scraping the website

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

Project Description
Inspecting the website
Scraping the website

Project Three: Scraping the IMDB website for movie recommendations

Project Description
Inspecting the website
Scraping the website

Project Four: Creating a Bitcoin Price Tracker

Project Description
Inspecting the website
Scraping the website