[Free] Web Scraping Mastery: 100 Projects With Scrapy,Bs4 And More
100 Real-World Projects with Scrapy, Selenium,bs4,requests,xpath,apis and more – Free Course
What you’ll learn
- 100 web scraping projects (from beginner to advanced projects)
- How to download python libraries/python
- How to use scrapy,beautifulsoup and other data scraping techniques
- How to setup a virtual enviroment
- How to scrape sites like tiktok,instagram ,amazon,jumia
- Handle pagination with any scraping tool
- Scrape infinite scroll websites
Requirements
- Knowledge of python
- Knowledge of html(optional)
- Internet access
Description
Welcome to the Web Scraping Mastery: 100 Projects with Scrapy, Selenium, and More course!In this project-intensive course, you will embark on a 100 Day journey to master the art of web scraping using Python and its powerful libraries. Each day, you will dive into a new topic and work on exciting projects that will help you develop a solid foundation in web scraping techniques.
Here’s a sneak peek at what you’ll learn during this course:
Day 1: Introduction to Web Scraping and the Requests Library
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Make GET and POST requests using the requests library.
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Inspect the response object and access its content and headers.
Day 2: Introduction to BeautifulSoup and the Parse Tree
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Create a BeautifulSoup object from HTML or XML content.
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Navigate the parse tree using tags, attributes, and methods.
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Access the text and values of the elements.
Day 3: Web Scraping Basics
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Scrape data from a simple static website using requests and BeautifulSoup.
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Extract the title, headings, paragraphs, links, images, and tables from the website.
Day 4: Web Scraping with CSS Selectors
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Use CSS selectors to find elements in the parse tree.
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Apply CSS selectors using the select() and select_one() methods of BeautifulSoup.
Day 5: Web Scraping with Regular Expressions
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Search for patterns in text or attributes using regular expressions.
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Apply regular expressions using the re module and the find_all() method of BeautifulSoup.
Day 6: Web Scraping with Filters
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Find elements based on their properties or functions using filters.
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Apply filters using the find_all() and find() methods of BeautifulSoup.
Day 7: Web Scraping with Lambda Functions
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Create custom filters for finding elements using lambda functions.
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Apply lambda functions using the find_all() and find() methods of BeautifulSoup.
Day 8: Web Scraping with Pagination
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Scrape data from multiple pages of a website using pagination.
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Follow links or parameters indicating the next page using requests and BeautifulSoup.
Day 9: Web Scraping with JavaScript
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Scrape data from websites that use JavaScript.
To
Day 100:
Throughout this course, you’ll work on various projects that involve scraping data from well-known websites such as Amazon Audible, Twitter, Google, Football Stats, Worldometers, and Movie pages. These projects will provide you with hands-on experience and help you build a portfolio of web scraping projects that you can showcase to potential employers or clients.
Let’s get started.
Author(s): okeke maryclare
