Python Web Scraping with Beautiful Soup
4 Students
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1 Year
Access -
Intermediate
Skill Level -
Course Certificate
Certificate -
50
Units -
0
Quizzes -
3 hours, 51 minutes
Duration
Overview
In today’s data-driven world web scraping has become a valuable skill set for the relevant professionals. Whether you’re a data analyst, scientist, or developer, the ability to gather and analyse web data can provide significant insights and advantages in your field. Learn the vital aspects of web scraping with our Python Web Scraping with Beautiful Soup course.
In this course, you will be able to enhance your knowledge of Python web scraping. The modules will introduce you to different tools and structures of HTML documents. You will be able to get detailed information about CSS selectors and how to use the request library. After that, you will learn about the key skills required for extracting content using Beautiful Soup. Finally, the course will discuss how to run four different projects.
At the end of the course, you will receive a certificate of completion demonstrating your expertise in this area. Join now and start learning!
Course Preview
Learning Outcomes
- Understand the fundamentals of Python web scraping
- Learn about the structure and parts of an HTML document
- Enhance your understanding of CSS selectors and requests library
- Know the process of extracting content using Beautiful Soup
- Receive detailed lessons on how to run four different projects
Why Take This Course From John Academy?
- Affordable, well-structured and high-quality e-learning study materials
- Meticulously crafted, engaging and informative tutorial videos and materials
- Efficient exam systems for the assessment and instant result
- Earn UK & internationally recognised accredited qualification
- Easily access the course content on mobile, tablet, or desktop from anywhere, anytime
- Excellent career advancement opportunities
- Get 24/7 student support via email
What Skills Will You Learn from This Course?
- Python web scraping
- Extracting content with Beautiful Soup
Who Should Take This Python Web Scraping with Beautiful Soup Course?
Whether you’re an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge.
Are There Any Entry Requirements?
This Python Web Scraping with Beautiful Soup course is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful.
Certificate of Achievement
After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99.
Career Path
This exclusive Python Web Scraping with Beautiful Soup course will equip you with effective skills and abilities and help you explore career paths such as
- Data Analyst
- Data Scientist
- Web Scraping Specialist
- Data Engineer
- Research Analyst
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What is Web Scraping? 00:09:00
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What is Beautiful Soup? 00:04:00
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What is a request? 00:05:00
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Why use Python for Web Scraping? 00:06:00
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Anaconda Installation: Mac and Linux 00:03:00
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Anaconda Installation: Windows 00:04:00
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Applications of Web Scraping 00:11:00
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Anchor tags 00:05:00
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Attribute selectors 00:05:00
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Body Tag 00:04:00
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By element name 00:03:00
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Class 00:05:00
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Course Materials
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Course Outline 00:06:00
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DELETE request 00:03:00
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Doctype 00:05:00
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GET request 00:04:00
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Grouping tags 00:07:00
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Head and Paragraph tags 00:04:00
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Head Tag 00:03:00
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How to get the HTML code from a website 00:07:00
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How to make requests in Python? 00:03:00
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HTTP Response codes 00:09:00
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Id selector 00:02:00
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Inspecting a website on the browser 00:03:00
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Inspecting the website – 2 00:02:00
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Inspecting the website – 3 00:03:00
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Inspecting the website – 4 00:02:00
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Inspecting the website and identifying the key elements – 1 00:03:00
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Is Web Scraping legal? 00:08:00
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List tags 00:03:00
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POST request 00:02:00
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Project Description – 1 00:03:00
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Project Description – 2 00:01:00
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Project Description – 3 00:02:00
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Project Description – 4 00:02:00
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Pseudo class selectors 00:09:00
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PUT request 00:04:00
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Scraping the website – 1 00:12:00
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Scraping the website – 2 00:08:00
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Scraping the website – 3 00:09:00
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Scraping the website – 4 00:08:00
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Table tags 00:04:00
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Tag or element 00:04:00
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Using CSS selectors: Attribute name 00:03:00
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Using CSS selectors: Element or tag name 00:02:00
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Using CSS selectors: ID and Class names 00:03:00
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Using CSS selectors: Pseudo class selector 00:04:00
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Using find and find_all methods 00:10:00
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