Web Scraping Mastery- 100 Projects with Scrapy,BS4 and more

Web Scraping Mastery: 100 Projects with Scrapy,BS4 and more, available at Free, has an average rating of 4.05, with 10 lectures, 8 quizzes, based on 31 reviews, and has 3323 subscribers.

You will learn about 100 web scraping projects (from beginner to advanced projects) How to download python libraries/python How to use scrapy,beautifulsoup and other data scraping techniques How to setup a virtual enviroment How to scrape sites like tiktok,instagram ,amazon,jumia Handle pagination with any scraping tool Scrape infinite scroll websites This course is ideal for individuals who are Beginners in python that want to become data analyst/scientist or Beginners who want to learn webscraping or Beginners who wants to automate the task of copying contents from websites or Beginners who wants to learn Scrapy or Beginners who wants to scrape data from any website It is particularly useful for Beginners in python that want to become data analyst/scientist or Beginners who want to learn webscraping or Beginners who wants to automate the task of copying contents from websites or Beginners who wants to learn Scrapy or Beginners who wants to scrape data from any website.

Enroll now: Web Scraping Mastery: 100 Projects with Scrapy,BS4 and more

Summary

Title: Web Scraping Mastery: 100 Projects with Scrapy,BS4 and more

Price: Free

Average Rating: 4.05

Number of Lectures: 10

Number of Quizzes: 8

Number of Published Lectures: 10

Number of Published Quizzes: 8

Number of Curriculum Items: 18

Number of Published Curriculum Objects: 18

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

100 web scraping projects (from beginner to advanced projects)

How to download python libraries/python

How to use scrapy,beautifulsoup and other data scraping techniques

How to setup a virtual enviroment

How to scrape sites like tiktok,instagram ,amazon,jumia

Handle pagination with any scraping tool

Scrape infinite scroll websites

Who Should Attend

Beginners in python that want to become data analyst/scientist

Beginners who want to learn webscraping

Beginners who wants to automate the task of copying contents from websites

Beginners who wants to learn Scrapy

Beginners who wants to scrape data from any website

Target Audiences

Beginners in python that want to become data analyst/scientist

Beginners who want to learn webscraping

Beginners who wants to automate the task of copying contents from websites

Beginners who wants to learn Scrapy

Beginners who wants to scrape data from any website

Welcome to the Web Scraping Mastery: 100 Projects with Scrapy, Selenium, and More course!

In this project-intensive course, you will embark on a 100 Day journey to master the art of web scraping using Python and its powerful libraries. Each day, you will dive into a new topic and work on exciting projects that will help you develop a solid foundation in web scraping techniques.

Here’s a sneak peek at what you’ll learn during this course:

Day 1: Introduction to Web Scraping and the Requests Library

Make GET and POST requests using the requests library.

Inspect the response object and access its content and headers.

Day 2: Introduction to BeautifulSoup and the Parse Tree

Create a BeautifulSoup object from HTML or XML content.

Navigate the parse tree using tags, attributes, and methods.

Access the text and values of the elements.

Day 3: Web Scraping Basics

Scrape data from a simple static website using requests and BeautifulSoup.

Extract the title, headings, paragraphs, links, images, and tables from the website.

Day 4: Web Scraping with CSS Selectors

Use CSS selectors to find elements in the parse tree.

Apply CSS selectors using the select() and select_one() methods of BeautifulSoup.

Day 5: Web Scraping with Regular Expressions

Search for patterns in text or attributes using regular expressions.

Apply regular expressions using the re module and the find_all() method of BeautifulSoup.

Day 6: Web Scraping with Filters

Find elements based on their properties or functions using filters.

Apply filters using the find_all() and find() methods of BeautifulSoup.

Day 7: Web Scraping with Lambda Functions

Create custom filters for finding elements using lambda functions.

Apply lambda functions using the find_all() and find() methods of BeautifulSoup.

Day 8: Web Scraping with Pagination

Scrape data from multiple pages of a website using pagination.

Follow links or parameters indicating the next page using requests and BeautifulSoup.

Day 9: Web Scraping with JavaScript

Scrape data from websites that use JavaScript.

To                                     

Day 100:

Throughout this course, you’ll work on various projects that involve scraping data from well-known websites such as Amazon Audible, Twitter, Google, Football Stats, Worldometers, and Movie pages. These projects will provide you with hands-on experience and help you build a portfolio of web scraping projects that you can showcase to potential employers or clients.

Let’s get started.

Course Curriculum

Chapter 1: Introduction to Web Scraping

Lecture 1: introduction to webscraping|REQUESTS

Lecture 2: How to Download Python

Chapter 2: web scraping with beautifulsoup

Lecture 1: Introduction to BeautifulSoup

Chapter 3: web scraping with css selectors

Lecture 1: webscraping with css selectors

Chapter 4: Web scraping with regular expressions.

Lecture 1: Web scraping with regular expressions.

Lecture 2: how to install regex

Chapter 5: Web scraping with filters.

Lecture 1: Web scraping with filters.

Chapter 6: Web scraping with lambda functions.

Lecture 1: Web scraping with lambda functions.

Chapter 7: Web scraping with pagination.

Lecture 1: Web scraping with pagination.

Chapter 8: Web scraping with JavaScript.

Lecture 1: Web scraping with JavaScript.

Instructors

okeke maryclare
Instructor in Programming for C++, Python, and IoT Projects

Rating Distribution

1 stars: 1 votes

2 stars: 3 votes

3 stars: 6 votes

4 stars: 11 votes

5 stars: 10 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!