Master Web Scraping with Python Do 16 Projects
- Development
- May 01, 2025

Master Web Scraping with Python Do 16 Projects, available at $29.99, has an average rating of 3.8, with 27 lectures, based on 258 reviews, and has 2034 subscribers.
You will learn about Understanding in deep how data web scraping work Get real skill by doing 16 real life project Get product data from Amazon Get game data from Steam Get movie data from Imdb Get sport data from Nba Understand how to working with iframe, paging, login while do web scraping Get crypto data from CoinMarketCap Get social data from Twitter This course is ideal for individuals who are This course is present step by step and from simple to more complicate so it is suit for all people or All steps are explain carefully with intent to make every one can understand It is particularly useful for This course is present step by step and from simple to more complicate so it is suit for all people or All steps are explain carefully with intent to make every one can understand.
Enroll now: Master Web Scraping with Python Do 16 Projects
Summary
Title: Master Web Scraping with Python Do 16 Projects
Price: $29.99
Average Rating: 3.8
Number of Lectures: 27
Number of Published Lectures: 24
Number of Curriculum Items: 27
Number of Published Curriculum Objects: 24
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
What special about this course ?
This is only course on market provide you 16 real life web scraping data projects, all of these projects coding with Python programming language
Practical approach, learning by doing, you will learn to coding python language with 16 real life web scraping projects,
Step by step method, from understand big picture to understand each step, and finally apply skill to solve problem.
All web scraping projects source codes are provide for reference.
Love to do web scraping ?
What you will get from this course ?
Understand indeed how web scraping work.
Hand – on experience by doing 16 real life web scraping projects.
Hand – on experience working with Sublime Text, one very cool IDE to working with python
Love to do web scraping ?
Course summary
This course teach you step by step, from simple example to real life web scraping project.
Introduce with you what is web scraping and why we need web scraping. The big picture of web scraping or 4 steps to do web scraping. And then we will install all kind of tools which be used in next sections.
Step 1 in 4 steps to do web scrape, we do inspecting web page and locating data between HTML source.
Step 2 in 4 steps, we do download HTML content.
Step 3 in 4 steps, we do create Beautiful Soup object and search for tags contain Information.
Step 4 in 4 steps, we do scrape data from tags.
Finally we do 16 hand-on web scraping project to collect data from Amazon, Steam, Nba, Imdb, CoinMarketCap, Twitter
Why web scraping is important ?
Most important data on the web do not available from API. Could you get the product data from Amazon with API ? Could you get film data from Imdb ?. Of course not. So the only way to collect these kind of data is using web scraping. Have data mean have power, you are having that power. Well come to my course on web scraping.
–>>> Take this course and get any data you want from the web automatically <<<–
Course Curriculum
Chapter 1: Web Scraping Introduction and installation
Lecture 1: Big picture about web scraping (or 4 steps to do web scraping)
Lecture 2: Install python and other packages with anaconda
Chapter 2: Step 1 : Inspecting Web Page and Locating Data between HTML Source
Lecture 1: Inspecting Web Page
Chapter 3: Step 2 : Download HTML Content
Lecture 1: Download HTML use selenium with chrome driver
Chapter 4: Step 3 : Create Beautiful Soup Object and Search for Tags Contain Information
Lecture 1: Introduction about Beautiful Soup and create soup object
Chapter 5: Step 4 : Scrape Data From Tags
Lecture 1: Scrape data
Chapter 6: Hand on with NBA projects
Lecture 1: Mission 1 : scrape players list
Lecture 2: Mission 2 : scrape players link
Lecture 3: Mission 3 : scrape players detail information
Lecture 4: Mission 4 : scrape players image
Chapter 7: Hand on with STEAM projects
Lecture 1: Mission 1 : scrape top selling items
Lecture 2: Mission 2 : scrape detail infor
Lecture 3: Mission 3 : login
Chapter 8: Hand on with IMDB projects
Lecture 1: Mission 1 : scrape best ever movie list
Lecture 2: Mission 2 : scrape movie detail information
Lecture 3: Mission 3 : scrape movie large poster
Chapter 9: Hand on with AMAZON projects
Lecture 1: Mission 1 : scrape book list
Lecture 2: Mission 2 : scrape detail information
Lecture 3: Mission 3 : scrape comment
Lecture 4: Mission 4 : scrape all pages
Chapter 10: Hand on with CoinMarketCap and Pandas
Lecture 1: Mission 1 : scrape main page
Lecture 2: Mission 2 : scrape bitcoin history price
Chapter 11: Hand on with Twitter API
Lecture 1: Mission 1 : collect real time message stream
Lecture 2: Mission 2 : collect message with hash tag
Instructors

Tan Pham
Deep Learning Engineer
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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