Python Web Scraping
Learning Path ⋅ Skills: Web Scraping, HTTP Requests, Data Parsing
You’ll learn how to make HTTP requests, parse HTML, and extract data from websites using Python. Starting with the fundamentals of HTTP and HTML, you’ll progress to building web scrapers with Beautiful Soup and Scrapy, handling JSON and CSV data, and automating browser interactions with Selenium.
Python Web Scraping
Learning Path ⋅ 9 Resources
Laying the Foundation for Web Scraping
Before you jump into web scraping, it’s important to brush up on some foundational skills, like making HTTP requests and understanding HTML and CSS.
Course
HTTP Requests With Python's urllib.request
In this video course, you'll explore how to make HTTP requests using Python's handy built-in module, urllib.request. You'll try out examples and go over common errors, all while learning more about HTTP requests and Python in general.
Course
Making HTTP Requests With Python
The requests library is the de facto standard for making HTTP requests in Python. It abstracts the complexities of making requests behind a beautiful, simple API so that you can focus on interacting with services and consuming data in your application. This course shows you how to work effectively with requests, from start to finish.
Interactive Quiz
Python's Requests Library
Course
HTML and CSS Foundations for Python Developers
There's no way around HTML and CSS when you want to build web apps. Even if you're not aiming to become a web developer, knowing the basics of HTML and CSS will help you understand the Web better. In this video course, you'll get an introduction to HTML and CSS for Python programmers.
Getting Started With Web Scraping
Now that you’ve learned some foundational skills, you’re ready to start web scraping!
Course
Web Scraping With Beautiful Soup and Python
In this course, you'll walk through the main steps of the web scraping process. You'll learn how to write a script that uses Python's requests library to scrape data from a website. You'll also use Beautiful Soup to extract the specific pieces of information that you're interested in.
Interactive Quiz
Beautiful Soup: Build a Web Scraper With Python
Course
Introduction to Web Scraping With Python
Learn all about web scraping in Python. You'll see how to parse data from websites and interact with HTML forms using tools such as Beautiful Soup and MechanicalSoup.
Interactive Quiz
A Practical Introduction to Web Scraping in Python
Tutorial
Web Scraping With Scrapy and MongoDB
This tutorial covers how to write a Python web crawler using Scrapy to scrape and parse data, and then store the data in MongoDB.
Interactive Quiz
Web Scraping With Scrapy and MongoDB
Handling Response Data
In web scraping, you end up with lots of response data. Next up, you’ll learn what to do with it.
Course
Working With JSON in Python
Learn how to work with Python's built-in json module to serialize the data in your programs into JSON format. Then, you'll deserialize some JSON from an online API and convert it into Python objects.
Interactive Quiz
Working With JSON Data in Python
Course
Reading and Writing CSV Files
This short course covers how to read and write data to CSV files using Python's built in csv module and the pandas library. You'll learn how to handle standard and non-standard data such as CSV files without headers, or files containing delimeters in the data.
Interactive Quiz
Reading and Writing CSV Files in Python
Automating Your Web Scraping Process
Finally, you’ll learn how to use a headless browser to automate the web scraping process.
Tutorial
Modern Web Automation With Python and Selenium
Learn advanced Python web automation techniques with Selenium, such as headless browsing, interacting with web elements, and implementing the Page Object Model pattern.
Interactive Quiz
Web Automation With Python and Selenium
Congratulations on completing this learning path! You’ve learned how to make HTTP requests, scrape web pages, parse data, and automate browsers with Python.
If you’d like to continue developing your web skills, check out these related learning paths:
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