Web Scraping Projects for Beginners
Web Scraping Projects for Beginners, available at $49.99, has an average rating of 4.57, with 60 lectures, based on 7 reviews, and has 1026 subscribers.
You will learn about Scrape data automatically with No Code Scrape YouTube data using JavaScript and YouTube Data API Scrape Amazon Data with Python Scrape data with Scrapy Scrape data with BeautifuSoup Scrape data into GoogleSheets from YouTube This course is ideal for individuals who are Beginners to web scraping It is particularly useful for Beginners to web scraping.
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Summary
Title: Web Scraping Projects for Beginners
Price: $49.99
Average Rating: 4.57
Number of Lectures: 60
Number of Published Lectures: 60
Number of Curriculum Items: 60
Number of Published Curriculum Objects: 60
Original Price: $59.99
Quality Status: approved
Status: Live
What You Will Learn
- Scrape data automatically with No Code
- Scrape YouTube data using JavaScript and YouTube Data API
- Scrape Amazon Data with Python
- Scrape data with Scrapy
- Scrape data with BeautifuSoup
- Scrape data into GoogleSheets from YouTube
Who Should Attend
- Beginners to web scraping
Target Audiences
- Beginners to web scraping
Web scraping is the process of collecting structured web data in an automated fashion. It’s also called web data extraction. Some of the main use cases of web scraping include price monitoring, price intelligence, news monitoring, lead generation, and market research among many others.
In general, web data extraction is used by people and businesses who want to make use of the vast amount of publicly available web data to make smarter decisions.
If you’ve ever copied and pasted information from a website, you’ve performed the same function as any web scraper, only on a microscopic, manual scale. Unlike the mundane, mind-numbing process of manually extracting data, web scraping uses intelligent automation to retrieve hundreds, millions, or even billions of data points from the internet’s seemingly endless frontier.
Web data extraction – also widely known as data scraping – has a huge range of applications. A data scraping tool can help you automate the process of extracting information from other websites, quickly and accurately. It can also make sure the data you’ve extracted is neatly organized, making it easier to analyze and use for other projects.
In the world of e-commerce, web data scraping is widely used for competitor price monitoring. It’s the only practical way for brands to check the pricing of their competitors’ products and services, allowing them to fine-tune their own price strategies and stay ahead of the game. It’s also used as a tool for manufacturers to ensure retailers are compliant with pricing guidelines for their products. Market research organizations and analysts depend on web data extraction to gauge consumer sentiment by keeping track of online product reviews, news articles, and feedback.
There’s a vast array of applications for data extraction in the financial world. Data scraping tools are used to extract insight from news stories, using this information to guide investment strategies. Similarly, researchers and analysts depend on data extraction to assess the financial health of companies. Insurance and financial services companies can mine a rich seam of alternative data scraped from the web to design new products and policies for their customers.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: What is Web Scraping and Web Crawling
Lecture 3: What is Robot.txt
Lecture 4: Legality of Web Scraping
Lecture 5: Checks before web scraping
Chapter 2: Python Setup
Lecture 1: Installing Python on Windows
Lecture 2: Installing Python on Macs
Lecture 3: Create a virtual environment on Windows
Lecture 4: Activate a virtual environment on Windows
Lecture 5: Create a virtual environment on Macs
Lecture 6: Activate a virtual environment on Macs
Lecture 7: Update pip
Lecture 8: Install Beautiful soup
Lecture 9: Install Scrapy
Lecture 10: Installing Visual Studio Code
Chapter 3: Web Scraping with Python and Beautiful Soup
Lecture 1: What we will scrape
Lecture 2: Building the web scraping script : part 1
Lecture 3: Building the web scraping script : part 2
Lecture 4: Prototyping the script: Part 1
Lecture 5: Prototyping the script: Part 2
Lecture 6: Prototyping the script: Part 3
Lecture 7: Prototyping the script: Part 4
Lecture 8: Prototyping the script: Part 5
Lecture 9: Testing the script
Chapter 4: Web Scraping with Python and Scrapy
Lecture 1: Create a Scrapy project
Lecture 2: Components ofa scrapy project
Lecture 3: Scrapy architecture
Lecture 4: Creating a Spider: Part 1
Lecture 5: Creating a Spider: Part 2
Lecture 6: Scraping data with Scrapy shell: Part 1
Lecture 7: Scraping data with Scrapy shell: Part 2
Lecture 8: Testing the Scrapy Spider
Chapter 5: Scraping Amazon Data with Python
Lecture 1: Create and activate a virtual environment
Lecture 2: Install Python Packages
Lecture 3: Create a Python File
Lecture 4: Create variables
Lecture 5: send emails from Python
Lecture 6: Create functions: Part 1
Lecture 7: Create functions: Part 2
Lecture 8: Create functions: Part 3
Lecture 9: Testing the script
Chapter 6: Web Scraping YouTube Data with API & JavaScript
Lecture 1: What is an API
Lecture 2: YouTube Data API
Lecture 3: Using GoogleSheets
Lecture 4: Building JavaScript Scraper : Part 1
Lecture 5: Building JavaScript Scraper : Part 2
Lecture 6: Building JavaScript Scraper : Part 3
Lecture 7: Testing the first scraper
Lecture 8: Building the second scraper
Lecture 9: Testing the second scraper
Chapter 7: Microsoft 365 and Power Automate Setup
Lecture 1: Microsoft 365 Business Standard Setup
Lecture 2: Getting started with Microsoft 365
Lecture 3: What is Power Automate
Chapter 8: Automating Web Scraping with No Code
Lecture 1: Installing Power Automate Desktop
Lecture 2: Explore Power Automate Desktop
Lecture 3: Automate web scraping
Lecture 4: Scrape Amazon website data
Lecture 5: Scrape Ebay website data
Lecture 6: Scrape Jobs website data
Lecture 7: Scrape Hackernews website data
Instructors
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Bluelime Learning Solutions
Making Learning Simple
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- 3 stars: 1 votes
- 4 stars: 2 votes
- 5 stars: 4 votes
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