Build 5 Python Web Scraping Projects: Beginner To Advanced

Build 5 Web Scraping Projects with Python: Beginner to Advanced , BeautifulSoup, Scrapy, Selenium, API integration

What you'll learn

Learn how to scrape data from websites using Python libraries like BeautifulSoup and Playwright for static and dynamic content

How to log in to a website using Playwright and scrape its content.

Gain hands-on experience by creating five real-world web scraping projects, including price trackers, job scrapers, and data aggregators.

Learn how to host scrapers and set up cron jobs to run automatically in the cloud.

Requirements

You should have basic Python knowledge, including using loops, conditional statements, and operators. Familiarity with data structures like lists, dictionaries, sets, and tuples is also required.

Description

In this course, "Build 5 Web Scraping Projects with Python: From Beginner to Advanced," you'll gain comprehensive knowledge on how to efficiently extract data from websites using Python. Whether you're just starting out or already have some experience with web scraping, this course is designed to enhance your skills through practical, hands-on projects. We will use powerful libraries like BeautifulSoup for parsing HTML, Requests for handling HTTP requests, and Playwright for interacting with dynamic, JavaScript-rendered content.Throughout the course, you'll discover how to build custom web scraping bots from scratch, learning how to handle everything from scraping static pages to more complex tasks like logging into websites to extract protected data. Additionally, you'll explore how to automate your scraping tasks by scheduling them using cron jobs, allowing you to run your scripts at regular intervals on the cloud for free.Each project is designed to simulate real-world scenarios, helping you apply your new skills immediately. By the end of the course, you'll be proficient in scraping both static and dynamic content, automating data extraction, and deploying your projects to the cloud. Whether you want to scrape product data, job listings, or social media information, this course will equip you with the tools and knowledge you need to succeed.

Overview

Section 1: Introduction to the Course

Lecture 1 Introduction to Web Scraping

Lecture 2 Overview of Web Scraping

Lecture 3 Applications of Web Scraping

Lecture 4 Tools for Web Scraping

Section 2: Introduction to BeautifulSoup and Requests

Lecture 5 Understanding Web Structures

Lecture 6 Introduction to BeautifulSoup and Requests

Lecture 7 Locating Data using Tags and Classes

Lecture 8 Extracting data from HTML using BeautifulSoup

Lecture 9 Using find_all() to Scrape Multiple Elements from a Webpage

Lecture 10 Using BeautifulSoup's .get() to extract URLs from a Webpage

Lecture 11 Using find_all() to Scrape Multiple URLs from Webpage

Lecture 12 Extracting Images Using Image Source

Lecture 13 Project 1- Basic Web Scraper (Books to Scrape)

Section 3: Scraping Multiple Pages (Pagination)

Lecture 14 Understanding Pagination Patterns

Lecture 15 Handling Pages with Known Total Page Count

Lecture 16 Handling Pages with Unknown Total Page Count

Lecture 17 Looping Through Multiple Pages to Gather Data

Lecture 18 Project 2: Scraping Product Pages - Part 1

Lecture 19 Project 2: Scraping Product Pages - Part 2

Section 4: Data Storage and Exporting

Lecture 20 Saving data to CSV and Excel files

Section 5: Introduction to Dynamic Content

Lecture 21 Understanding Dynamically Loaded Content

Lecture 22 Differences between Static and Dynamic Pages

Lecture 23 Introduction to Playwright

Lecture 24 Extracting Data from Dynamic Websites Using Playwright

Section 6: Advanced Web Scraping Techniques (Playwright)

Lecture 25 How to Scroll using Playwright

Lecture 26 How to login to a website Using Playwright

Lecture 27 How to login to a website Using Playwright Codegen

Lecture 28 How Download Files Using Playwright

Lecture 29 How to Upload files to a Website Using Playwright

Lecture 30 Project 3: Login and Data Extraction (Social Media Scraper-Twitter)

Section 7: Introduction to APIs

Lecture 31 What are APIs and how to use them for data extraction

Lecture 32 Difference between web scraping and API usage

Lecture 33 Parsing JSON responses from APIs

Lecture 34 How to Explore hidden APIs

Lecture 35 Project 4: Extracting Data from a hidden API

Section 8: Project 5: Scheduled E-commerce Data Scraper Using Cron Job

Lecture 36 Overview of Project

Lecture 37 Creating the basic Offline Scraper

Lecture 38 Configuring Google Sheets API for integration

Lecture 39 Integration with Google Sheets Locally

Lecture 40 Deploying and Scheduling to the Cloud with GitHub Actions

This course is perfect for Python enthusiasts eager to dive into web scraping and build real-world bots. Whether you're new to web scraping and looking to expand your skill set or an experienced developer aiming to enhance your scraping capabilities, this course offers the practical knowledge and hands-on experience needed to master the field. It's ideal for freelancers, software testers, and anyone interested in performing web scraping tasks efficiently.