Supercharged Web Scraping with Asyncio and Python
- Development
- May 12, 2025

Supercharged Web Scraping with Asyncio and Python, available at $39.99, has an average rating of 4.55, with 22 lectures, based on 136 reviews, and has 30620 subscribers.
You will learn about Basic Web scraping with Python Web scraping with Selenium & Python JavaScript-Heavy Website Scraping Asynchronous Web scraping with Asyncio This course is ideal for individuals who are Data Scientists & Aspiring Data Scientists or Python Developers looking to better understand asynchronous coding within Python or Anyone interested in Data Mining / Data Scraping It is particularly useful for Data Scientists & Aspiring Data Scientists or Python Developers looking to better understand asynchronous coding within Python or Anyone interested in Data Mining / Data Scraping.
Enroll now: Supercharged Web Scraping with Asyncio and Python
Summary
Title: Supercharged Web Scraping with Asyncio and Python
Price: $39.99
Average Rating: 4.55
Number of Lectures: 22
Number of Published Lectures: 22
Number of Curriculum Items: 22
Number of Published Curriculum Objects: 22
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Web scraping is simply automatically opening up any website and grabbing the data you find important on that website. It’s fundamental to the internet, search engines, Data Science, automation, machine learning, and much more.
Opening websites and extracting data are only part of what makes web scraping great. It’s the parsing of the data that’s where the value is.
This project will cover:
Basic web scraping with Python
Web scraping with Selenium
Sync vs Async
Asynchronous Web scraping with Asyncio
But why asynchronous code? What is it? How does it benefit us?
Asynchrounous code is a way to execute multiple functions basically at once. It’s not actually at the exact same time but it’s close. (They actually run concurrently). This means that we can do more things in less time and, when it comes to mining or scraping data, this time saving is absolutely significant.
Imagine for a moment you’re recreating google’s search engine. You’d have to scrape trillions (if not more) web pages on a regular interval to help with the search results. Of course you’re not going to be scraping all of the trillions of pages at once but the idea is that scraping event 1,000 pages would take a very long time doing it synchronously (like using Python requests and/or just selenium).
If you’ve done a lot of web scraping before but never used Python’s aysncio, this course will help you better understand the fundamentals and bring your scraping game to another level.
Let’s get started!
Course Curriculum
Chapter 1: Welcome
Lecture 1: Welcome
Lecture 2: Project Demo
Lecture 3: Requirements
Chapter 2: Fundamentals
Lecture 1: Sync vs Async
Lecture 2: Blocking & Timeouts
Lecture 3: Scraping with Selenium
Lecture 4: Async Web Scraping with chrome driver and arsenic
Lecture 5: Hide Arsenic logs
Chapter 3: Extraction & Formatting
Lecture 1: Async Data with Python Pandas
Lecture 2: Prepare to Scrape Multiple URLs
Lecture 3: Extract Product Data
Lecture 4: Async Product Data Extraction
Chapter 4: Prepare for Re-usability
Lecture 1: Modules & Submodules
Lecture 2: Service Specific Submodule
Lecture 3: Decouple Logging & Scraper
Chapter 5: Storing Data
Lecture 1: Synchronous SQL Storage with Pandas
Lecture 2: Store Scrapped Data to SQL Tables
Lecture 3: Inspect Stored Data in Jupyter
Lecture 4: Scraping URLS from Stored Links Table
Lecture 5: Scrape Paginated List View
Lecture 6: Results & Timing
Chapter 6: Thank you and next steps
Lecture 1: Thank you & next steps
Instructors

Justin Mitchel
Coding Entrepreneur & Teacher – 568,000+ Students
Rating Distribution
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
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