Web Scraping in Python Selenium, Scrapy + ChatGPT Prize 2024
Web Scraping in Python Selenium, Scrapy + ChatGPT Prize 2024, available at $99.99, has an average rating of 4.42, with 95 lectures, based on 1666 reviews, and has 12426 subscribers.
You will learn about Learn to scrape website from scratch with Beautiful Soup Learn the essential stuff you need before learning web scraping (Python, HTML, XPath) How to use ChatGPT for web scraping 4 web scraping projects (from beginner to advanced projects) Handle pagination with any scraping tool Learn to scrape JavaScript website with Selenium and Scrapy-Splash Store the extracted Data in MongoDb & SQLite3 Scrape infinite scroll websites Login to websites using Selenium & Scrapy This course is ideal for individuals who are Anyone who wants to scrape data from any website with Beautiful Soup, Selenium, and Scrapy or Data Scientists who want to take their skills to the next level or Web developers looking to obtain new information or automate tasks or Anyone who wants to stop spending hours manually copying data off a website, and wants to automate this task It is particularly useful for Anyone who wants to scrape data from any website with Beautiful Soup, Selenium, and Scrapy or Data Scientists who want to take their skills to the next level or Web developers looking to obtain new information or automate tasks or Anyone who wants to stop spending hours manually copying data off a website, and wants to automate this task.
Enroll now: Web Scraping in Python Selenium, Scrapy + ChatGPT Prize 2024
Summary
Title: Web Scraping in Python Selenium, Scrapy + ChatGPT Prize 2024
Price: $99.99
Average Rating: 4.42
Number of Lectures: 95
Number of Published Lectures: 95
Number of Curriculum Items: 95
Number of Published Curriculum Objects: 95
Original Price: $27.99
Quality Status: approved
Status: Live
What You Will Learn
- Learn to scrape website from scratch with Beautiful Soup
- Learn the essential stuff you need before learning web scraping (Python, HTML, XPath)
- How to use ChatGPT for web scraping
- 4 web scraping projects (from beginner to advanced projects)
- Handle pagination with any scraping tool
- Learn to scrape JavaScript website with Selenium and Scrapy-Splash
- Store the extracted Data in MongoDb & SQLite3
- Scrape infinite scroll websites
- Login to websites using Selenium & Scrapy
Who Should Attend
- Anyone who wants to scrape data from any website with Beautiful Soup, Selenium, and Scrapy
- Data Scientists who want to take their skills to the next level
- Web developers looking to obtain new information or automate tasks
- Anyone who wants to stop spending hours manually copying data off a website, and wants to automate this task
Target Audiences
- Anyone who wants to scrape data from any website with Beautiful Soup, Selenium, and Scrapy
- Data Scientists who want to take their skills to the next level
- Web developers looking to obtain new information or automate tasks
- Anyone who wants to stop spending hours manually copying data off a website, and wants to automate this task
Have you ever thought about how important is data in our everyday life?
It doesn’t matter if you’re a data scientist, data analyst, or programmer, getting access to the data you need is important! This is why some of the top Fortune 500 companies such as Walmart, Target, and CNN use web scraping to stay ahead with data. We can say this is one of their best secret weapons.
Welcome to Web Scraping in Python with BeautiuflSoup, Selenium, and Scrapy!
The most complete and project-oriented course. In this course, we’re going to learn web scraping solving cool projects that will help us scrape data off some of the most well-known websites. To name a few:
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Amazon Audible
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Twitter
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Google
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Football Stats
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Worldometers
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Movie pages
This is the most complete web scraping course in Python and is split into 3 parts: BeautiuflSoup, Selenium, and Scrapy. My goal is that you become an expert in web scraping. This is why only 10% of the content of this course is focused on Beautiful Soup, while 40% is dedicated to Selenium and 50% to Scrapy.
Why I built the course this way?
Beautiful Soup has a lot of limitations, but it’s still useful for a gentle introduction to web scraping. In contrast, if you learn Selenium you will be able to scrape any website. and if you add Scrapy to your toolkit you will be able to scrape any website faster than with any other web scraping library. Throughout this course, you will see the power of web scraping with each Python library.
What makes this course different from the others, and why you should enroll?
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This is the most updated and complete web scraping course in Python. You will be using Python 3.7, Scrapy 2.4, Selenium 3.141.0 and BS4
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This is the most project-based course you will find. We will scrape many of the most well-known websites
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You will have an in-depth step by step guide on how to become a professional web scraper.
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You will learn how to use Selenium, Scrapy, and Splash to scrape JavaScript-driven websites. You won’t find any tutorials out there that teach how to use these web scraping tools the way I do in this course.
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You will learn how to use ChatGPT for web scraping
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30 days money back guarantee by Udemy
At the end of the course, you’ll know how to build your own web scraper to obtain new data, learn the best techniques for web scraping and more.
Join me now and let’s start scraping the web together!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Update 2024: Read this before you start
Lecture 2: What is the best web scraping library? BS4 vs Selenium vs Scrapy
Lecture 3: Installing Python and PyCharm
Lecture 4: Python Basics for Web Scraping
Lecture 5: Web Scraping Cheat Sheet for The Course (Don't skip it)
Lecture 6: HTML for Web Scraping: Tags and Elements
Lecture 7: HTML for Web Scraping: Tree Structure
Chapter 2: Introduction to Beautiful Soup
Lecture 1: Important: Versions of libraries that work for this section
Lecture 2: Installing Beautiful Soup
Lecture 3: Beautiful Soup Basics
Lecture 4: How To Get The HTML from a Website
Lecture 5: How to Scrape a Single Page
Lecture 6: Exporting Data to a TXT File
Chapter 3: Project #1: Scraping Multiple Pages with Beautiful Soup
Lecture 1: Update Scripts 2024
Lecture 2: Scraping Multiple Links within The Same Page
Lecture 3: Pagination
Chapter 4: XPath
Lecture 1: Important Note (Don't skip it)
Lecture 2: XPath Syntax, Functions and Operators
Lecture 3: Test Your XPath
Lecture 4: Special Characters and Syntax
Chapter 5: Introduction to Selenium
Lecture 1: Important: Versions of libraries that work for this section
Lecture 2: How to Identify Java Script Driven Websites
Lecture 3: Installing Selenium and ChromeDriver
Lecture 4: Importing Libraries and Creating The Driver
Lecture 5: How to Find Elements with Selenium (Theory)
Lecture 6: Clicking on a Button
Lecture 7: Extracting Data from a Table
Lecture 8: Exporting Data to a CSV File with Pandas
Lecture 9: Selecting Elements within a Dropdown
Chapter 6: Project #1: Dealing with Multiple Pages using Selenium (Amazon Audible Bot)
Lecture 1: Update Scripts 2024
Lecture 2: Building the bot
Lecture 3: Headless Mode
Lecture 4: Handling Pagination
Lecture 5: Implicit vs Explicit Waits
Chapter 7: Introduction to Scrapy
Lecture 1: Important: Versions of libraries that work for this section
Lecture 2: Scrapy Installation
Lecture 3: Setting up Scrapy with Pycharm
Lecture 4: Note: How to Show Hidden Folders on Mac
Lecture 5: Scrapy's Commands
Lecture 6: Creating our First Project and Spider
Lecture 7: Scrapy Templates & How to Find Elements with Scrapy
Lecture 8: Scrapy's Shell Command
Lecture 9: Building a Spider
Lecture 10: Getting links listed in a website
Lecture 11: Relative vs Absolute Links
Lecture 12: Scraping Data from Multiple Links
Chapter 8: Dealing with Multiple Pages using Scrapy
Lecture 1: Update Scripts 2024
Lecture 2: Building The Spider
Lecture 3: Pagination
Lecture 4: Changing User-Agent
Chapter 9: Project #3: Building Crawlers with Scrapy
Lecture 1: Update Scripts 2024
Lecture 2: Crawler – Rules
Lecture 3: Crawler – Pagination
Lecture 4: Crawler – Changing User-Agent
Chapter 10: Exporting Data to a Database: MongoDB and SQLite
Lecture 1: Update Scripts 2024 (and MongoDB)
Lecture 2: Pipelines
Lecture 3: MongoDB
Lecture 4: SQLite3
Chapter 11: Scraping APIs & Login to website with Scrapy
Lecture 1: Scraping APIs – Building the Spider
Lecture 2: Scraping APIs – Dealing with Pagination
Lecture 3: Login to website – Building the Spider
Chapter 12: Splash Basics
Lecture 1: Section Overview
Lecture 2: Setting up Splash with Docker
Lecture 3: Introduction to Splash
Lecture 4: How to Find Elements with Splash
Chapter 13: Project #4: Scraping JavaScript websites using Scrapy/Splash
Lecture 1: Building the Script in Splash
Lecture 2: Using Splash with Scrapy
Lecture 3: Parsing
Lecture 4: Changing User-Agent
Chapter 14: How to Make Money Using Web Scraping
Lecture 1: Section Overview
Lecture 2: How I Monetized My Web Scraping Skills Over The Past 2 Years
Lecture 3: Getting Started – Part 1
Lecture 4: Getting Started – Part 2
Chapter 15: Prize: ChatGPT for Web Scraping
Lecture 1: Section Overview
Lecture 2: Web Scraping with ChatGPT – Part 1
Lecture 3: Web Scraping with ChatGPT – Part 2
Lecture 4: Web Scraping with ChatGPT Plugin
Lecture 5: Web Scraping with ChatGPT Code Interpreter
Lecture 6: How to create a GPT that scrapes websites
Lecture 7: Congratulations!
Chapter 16: Appendix: Infinite Scrolling & Login (Twitter Bot)
Lecture 1: Important Note
Lecture 2: How to Login to Websites
Lecture 3: Building a Function
Lecture 4: Infinite Scrolling
Instructors
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Frank Andrade
Data Scientist
Rating Distribution
- 1 stars: 25 votes
- 2 stars: 27 votes
- 3 stars: 122 votes
- 4 stars: 517 votes
- 5 stars: 975 votes
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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