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Python Web Scraping: Data Extraction with Beautiful Soup
723 Students (23 Reviews)
Learn Python web scraping with Beautiful Soup and develop essential skills for extracting and processing webpage data online.
GET THIS COURSE AND 3000+ OTHERS FOR ONLY £49 PER YEAR. FIND OUT MORE
Overview
The Python Web Scraping: Data Extraction with Beautiful Soup course introduces learners to the fundamentals of collecting and extracting information from websites using Python. It provides a clear introduction to web scraping concepts and the tools used to work with online data.
Learners will explore how to use Python and Beautiful Soup to retrieve webpage content, understand HTML structures, locate specific information, and extract useful data. The course also covers important techniques for processing scraped content and organising extracted information for further use.
Delivered through online learning, the course allows learners to study at their own pace and access materials from a computer, tablet, or smartphone. It is suitable for beginners, Python learners, data enthusiasts, researchers, and professionals who want to develop their knowledge of automated data extraction and web-based information gathering.
Learning Outcomes
- Understand the fundamentals of Python web scraping.
- Explore HTML structures used within webpages.
- Use Beautiful Soup for webpage data extraction.
- Locate and extract specific webpage information.
- Process and organise extracted website data.
- Handle common scraping errors and challenges.
- Develop basic automated data collection techniques.
Why choose this course
- Affordable, Accessible, informative and well-structured study materials
- Earn a globally recognised accredited qualification
- Study in your own time, at your own pace, through any device
- Benefit from feedback through mock exams and multiple-choice assessments
- Excellent career advancement/career switch opportunities
- Get 24/7 help or advice from our email and live chat teams
Certification
Certificate of Achievement
After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.
Who Is This Course For:
This course is suitable for Python beginners, students, aspiring developers, data analysts, researchers, digital professionals, and anyone interested in automated data collection. It can also benefit learners who want to expand their Python knowledge and understand how website information can be extracted and processed.
Requirements
There are no formal academic entry requirements for this course. Basic computer skills and a reasonable understanding of English are recommended. Some familiarity with Python can be helpful, but beginners can use the course to develop their understanding of Python-based web scraping.
Career path
- Data Analyst
- Data Extraction Specialist
- Junior Data Scientist
- Research Analyst
- Automation Developer
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? | 00:09:00 | ||
| 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 | ||
| 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 | ||
| Order Your Certificates & Transcripts | |||
| Order your Certificates & Transcripts | 00:00:00 | ||
Original price was: £319.£25Current price is: £25. ex Vat
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Frequently asked questions
Can’t find the anwser you’re looking for ? Reach out to customer support team.
Python web scraping is the process of using Python programs to collect information from webpages. It can help users retrieve structured information from websites and organise it for analysis, research, or other legitimate purposes.
Beautiful Soup is a Python library commonly used for parsing HTML and XML documents. It helps developers navigate webpage structures, find specific elements, and extract information from HTML content.
Yes. The course is suitable for beginners who want to understand the basics of web scraping with Python. Basic computer knowledge is recommended, while some previous Python experience can make the learning process easier.
You will learn how webpages are structured, how Beautiful Soup works, how to locate information within HTML, and how to extract and organise webpage content using Python-based techniques.
Previous Python knowledge can be useful but is not essential. Learners interested in programming and data extraction can use the course to develop their understanding of Python and Beautiful Soup.
Yes. The course is delivered online, allowing you to study from a suitable location and at a convenient pace. Learning materials can be accessed through an internet-enabled computer, tablet, or smartphone.
The legality of web scraping depends on the website, the information being collected, applicable laws, and how the data is used. Learners should respect website terms, copyright, privacy requirements, access restrictions, and applicable data protection laws.
Depending on the webpage structure and applicable permissions, web scraping can be used to extract information such as text, headings, links, tables, product details, and other publicly accessible webpage elements.
Yes. After successfully completing the final assessment, you can receive a CPD-accredited Certificate of Achievement. The PDF certificate is available for £9.99, while a hard-copy certificate is available for £15.99.
The course can help develop useful knowledge in Python, data extraction, and web scraping. Learners can build on these skills through further study, programming projects, data analysis, and additional technical qualifications.