Python Web Scraping
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 you need to build your own web scraper.
Additional Resources
Python Web Scraping
Learning Path ⋅ 6 Resources
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.
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.
Tutorial
A Practical Introduction to Web Scraping in 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.
Course
Working With JSON Data 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.
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.
Tutorial
Modern Web Automation With Python and Selenium
Your guide to learning advanced Python web automation techniques: Selenium, headless browsing, exporting scraped data to CSV, and wrapping your scraping code in a Python class.
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