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Python Web Scraping (Learning Path) – Real Python

Learning Path ⋅ Skills: Web Scraping, HTTP Requests, Data Parsing

Web scraping is about downloading structured data from the Web, selecting some of that data, and passing along what you selected to another process. With this learning path, you’ll learn the core Python technologies and skills that you need to build your own web scraper.

Learning Path ⋅ 9 Resources

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.

#1

Course

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.

#2

Course

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.

#3

Course

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.

Now that you’ve learned some foundational skills, you’re ready to start web scraping!

#4

Course

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.

#5

Course

In this course, you'll practice the main steps of the web scraping process. You'll write a script that uses Python's requests library to scrape and parse data from a website. You'll also interact with HTML forms using tools like Beautiful Soup and Mechanical Soup to extract specific information.

#6

In web scraping, you end up with lots of response data. Next up, you’ll learn what to do with it.

#7

Course

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.

#8

Course

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.

Finally, you’ll learn how to use a headless browser to automate the web scraping process.

#9

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