Python Web Scraping: Data Extraction with Beautiful Soup

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(9 Reviews)

2 Students

Last updated: June 28, 2024
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Language: English
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Flexible Schedule

Unlock the power of data extraction with our compelling course, Python Web Scraping: Data Extraction with Beautiful Soup. Dive deep into the world of web scraping and learn the art of extracting valuable information from the web effortlessly. This course is meticulously designed to provide you with a thorough understanding of Python Web Scraping: Data Extraction with Beautiful Soup, focusing on key concepts and techniques. From understanding the structure of HTML documents to mastering the Beautiful Soup library, you will be equipped with the skills to scrape data effectively. Whether you aim to track eBay prices, compile Billboard hits, find IMDB movie recommendations, or monitor Bitcoin prices, Python Web Scraping: Data Extraction with Beautiful Soup will be your ultimate guide in transforming raw data into actionable insights. Join us on this journey and harness the true potential of web scraping!

Learning Outcomes

  1. Understand the fundamentals of HTML structure and CSS selectors.
  2. Learn to make HTTP requests using the Requests library.
  3. Master the Beautiful Soup library for parsing and extracting web content.
  4. Develop skills to create web scraping projects like price trackers and data collectors.
  5. Gain proficiency in extracting and handling various types of web data.
  6. Build a solid foundation in Python web scraping techniques.

Why buy this Python Web Scraping: Data Extraction with Beautiful Soup course?

  1. Unlimited access to the course for forever
  2. Digital Certificate, Transcript, student ID all included in the price
  3. Absolutely no hidden fees
  4. Directly receive CPD accredited qualifications after course completion
  5. Receive one to one assistance on every weekday from professionals
  6. Immediately receive the PDF certificate after passing
  7. Receive the original copies of your certificate and transcript on the next working day
  8. Easily learn the skills and knowledge from the comfort of your home

Certification

After studying the course materials of the Python Web Scraping: Data Extraction with Beautiful Soup there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99. Original Hard Copy certificates need to be ordered at an additional cost of £8.

Who is this Python Web Scraping: Data Extraction with Beautiful Soup course for?

  • Aspiring data scientists looking to enhance their data extraction skills.
  • Python developers eager to add web scraping to their skillset.
  • Market researchers who want to automate data collection processes.
  • Students and professionals seeking to understand web scraping fundamentals.
  • Tech enthusiasts interested in building web scraping projects.
  • Individuals looking to extract and analyse web data for personal or professional use.

Prerequisites

This Python Web Scraping: Data Extraction with Beautiful Soup does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Python Web Scraping: Data Extraction with Beautiful Soup was made by professionals and it is compatible with all PC’s, Mac’s, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.

Career path

  • Data Analyst: £30,000 to £50,000 per year
  • Web Scraping Specialist: £35,000 to £55,000 per year
  • Data Scientist: £45,000 to £70,000 per year
  • Machine Learning Engineer: £50,000 to £75,000 per year
  • Business Intelligence Analyst: £40,000 to £60,000 per year
  • Research Analyst: £30,000 to £45,000 per year

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
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
Body Tag 00:04:00
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
Python Web Scraping: Data Extraction with Beautiful Soup
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This course includes:

  • level Skill Level
  • course_duration Duration
    3 hours, 51 minutes
  • studentsStudents
    2 Students