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Web Scraping in Python With BeautifulSoup and Selenium

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Web Scraping in Python With BeautifulSoup and Selenium, available at $94.99, has an average rating of 4.4, with 76 lectures, 2 quizzes, based on 990 reviews, and has 6061 subscribers.

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You will learn about Understanding the fundamentals of Web Scraping Build your own web scraping projects Learn core components of two of the most powerful scraping libraries: BeautifulSoup and Selenium How to click on a button, send text to an input box, and self-scroll using Selenium Scraping data off of single page, multiple page, and infinite scrolling websites 5 projects each with it's own unique challenge Automate python scripts Understand HTML and Xpath selectors This course is ideal for individuals who are Anyone interested in harnessing the power of data, web scraping, and data mining 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 let a computer do it for them It is particularly useful for Anyone interested in harnessing the power of data, web scraping, and data mining 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 let a computer do it for them.

Enroll now: Web Scraping in Python With BeautifulSoup and Selenium

Summary

Title: Web Scraping in Python With BeautifulSoup and Selenium

Price: $94.99

Average Rating: 4.4

Number of Lectures: 76

Number of Quizzes: 2

Number of Published Lectures: 76

Number of Published Quizzes: 2

Number of Curriculum Items: 78

Number of Published Curriculum Objects: 78

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understanding the fundamentals of Web Scraping
  • Build your own web scraping projects
  • Learn core components of two of the most powerful scraping libraries: BeautifulSoup and Selenium
  • How to click on a button, send text to an input box, and self-scroll using Selenium
  • Scraping data off of single page, multiple page, and infinite scrolling websites
  • 5 projects each with it's own unique challenge
  • Automate python scripts
  • Understand HTML and Xpath selectors

Who Should Attend

  • Anyone interested in harnessing the power of data, web scraping, and data mining
  • 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 let a computer do it for them

Target Audiences

  • Anyone interested in harnessing the power of data, web scraping, and data mining
  • 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 let a computer do it for them

Web Scraping has become one of the hottest topics in the data science world, for getting access to data can make or break you.

This is why Fortune 500 companies like Walmart, CNN, Target, and Amazon use web scraping to get ahead and stay ahead with data.

It’s the original growth tool and one of their best-kept secrets

…And it can easily be yours too.

Welcome to Web Scraping in Python with BeautiuflSoup and Selenium!

The most up to date and project-oriented course out there currently.

In this course, you’re going to learn how to scrape data off some of the most well-known websites which include:

  • Twitter

  • Airbnb

  • Nike

  • Google

  • Indeed

  • NFL

  • MarketWatch

  • Worldometers

  • IMDb

  • Carpages

At the end of this course, you will understand the most important components of web scraping and be able to build your own web scrapers to obtain new data from any website, automate any task using web scraping, and more.

Plus, familiarize yourself with some of the most common scraping techniques and sharpen your Python programming skills while you’re at it!

  1. First, learn the essentials of web scraping, explore the framework of a website, and get your local environment ready to take on scraping challenges with BeautifulSoup, and Selenium.

  2. Next, cover the basics of BeautifulSoup, utilize the requests library and LXML parser, and scale up to deploy a new scraping algorithm to scrape data from any table online, and from multiple pages.

  3. Third, set up Selenium to deal with JavaScript-driven webpages, and use the unique functions of Selenium to interact with pages.

  4. Combine the concepts of BeautifulSoup and Selenium to create the most effective scrapers to deal with some of the most challenging websites.

  5. Finally, learn how to make web scraping fully automatic by running your scraper at a specific time each day.

What makes this course different from the others, and why you should enroll?

  • First, this is the most updated course currently out

  • Second, this is the most project-based course you will find, where we will scrape many of the internets most well-known websites

  • You will have an in-depth step by step guide on how to become a professional web scraper.

  • You will learn how to use Selenium to scrape JavaScript websites and I can assure you, you won’t find any tutorials out there that teach you how to really use Selenium like I’ll be doing in this course.

  • You will learn how to create a fully automated web scraping script that runs periodicallywithout any intervention from you.

  • 30 days money-back guarantee by Udemy

So whether you’re a data scientist, machine learning, or AI engineer who wants to access more data sources; a web developer looking to automate tasks, or a data buff with a general interest in data science and web scraping…

This course delivers an in-depth presentation of web scraping basics, methodologies, and approaches that you can easily apply to your own personal projects, or out there in the real world of business.

Join me now and let’s start scraping the web together. Enroll today.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Applications Of Web Scraping

Lecture 2: Overview of Web Scraping

Lecture 3: Web Scraping Example – Twitter

Lecture 4: How to Make Money, Using Web Scraping

Lecture 5: Installing Python

Lecture 6: Installing Packages

Lecture 7: Fixing Video Quality – MUST WATCH!

Lecture 8: Asking Questions

Chapter 2: How Websites are Displayed

Lecture 1: How Websites are Displayed

Lecture 2: Installing Google Chrome

Chapter 3: Basics of BeautifulSoup

Lecture 1: Section Overview

Lecture 2: How To Get The HTML

Lecture 3: Tags

Lecture 4: Navigable Strings

Lecture 5: Attributes

Lecture 6: Comments

Chapter 4: Searching and Extracting From the HTML

Lecture 1: Section Overview

Lecture 2: find()

Lecture 3: find_all() – Part 1

Lecture 4: find_all() – Part 2

Lecture 5: find_all() – Part 3

Lecture 6: Extracting Data From Nested HTML Tags

Lecture 7: Coding Exercise – Stocks

Lecture 8: Answer – Coding Exercise

Chapter 5: Project #1 – Scraping a Table

Lecture 1: Section Overview

Lecture 2: Scraping a Table – Part 1

Lecture 3: Scraping a Table – Part 2

Lecture 4: Scraping a Table – Part 3

Lecture 5: Coding Exercise – NFL Stats

Lecture 6: Answer – Coding Exercise

Chapter 6: Project #2 – Dealing with Multiple Pages

Lecture 1: Section Overview

Lecture 2: **WATCH THIS VIDEO**

Lecture 3: Dealing with Multiple Pages – Part 1

Lecture 4: Dealing with Multiple Pages – Part 2

Lecture 5: Dealing with Multiple Pages – Part 3

Lecture 6: Dealing with Multiple Pages – Part 4

Lecture 7: Coding Exercise – Carpages

Lecture 8: Answer – Coding Exercise

Lecture 9: Note: Answer – Coding Exercise

Chapter 7: JavaScript Driven Webpages

Lecture 1: Section Overview

Lecture 2: JavaScript Driven Webpages

Lecture 3: Selenium

Lecture 4: Installing Selenium

Chapter 8: Selenium

Lecture 1: Section Overview

Lecture 2: Using the Web Driver

Lecture 3: Xpath

Lecture 4: find_element()

Lecture 5: Sending Text Into an Input Box

Lecture 6: Clicking On a Button

Lecture 7: Taking a Screenshot

Lecture 8: Self-Scrolling

Lecture 9: Wait Times

Lecture 10: Coding Exercise – Imdb

Lecture 11: Answer – Coding Exercise

Lecture 12: Issue With My Downloadable Code

Chapter 9: Project #3 – Infinite Scrolling

Lecture 1: Section Overview

Lecture 2: Infinite Scrolling – Part1

Lecture 3: Infinite Scrolling – Part 2

Lecture 4: Infinite Scrolling – Part 3

Lecture 5: Infinite Scrolling – Part 4

Lecture 6: Coding Exercise – Union Los Angeles

Lecture 7: Answer – Coding Exercise

Chapter 10: Project #4 – Twitter

Lecture 1: Section Overview

Lecture 2: Twitter – Part 1

Lecture 3: Twitter – Part 2

Lecture 4: Twitter – Part 3

Lecture 5: Twitter – Part 4

Lecture 6: Twitter – Part 5

Lecture 7: Coding Exercise – Indeed

Lecture 8: Answer – Coding Exercise

Chapter 11: Project #5 – Automating Python Scripts

Lecture 1: Section Overview

Lecture 2: Intro To Project

Lecture 3: Sending Emails Through Python

Lecture 4: Automating Any Python Script

Lecture 5: Congratulations!!!

Chapter 12: Bonus Lecture

Lecture 1: Bonus Lecture

Instructors

Rating Distribution

  • 1 stars: 18 votes
  • 2 stars: 7 votes
  • 3 stars: 83 votes
  • 4 stars: 287 votes
  • 5 stars: 595 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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