Web Scraping : Scrape YouTube Data Using JavaScript and API

Web Scraping : Scrape YouTube Data Using JavaScript and API

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 24 lectures (2h 2m) | 557 MB

Extract YouTube Data in seconds using JavaScript Scraping Bots

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 analyse 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.

In this course we will be building scraping bots (scripts) using JavaScript and then use them with the YouTube Data API to scrape data from YouTube.

What you’ll learn

  • Extract data in minutes using JavaScript Bots
  • Build JavaScript Scraping Bots
  • Create JavaScript Functions
  • Implement Loops inside functions
  • Scrape YouTube data using YouTube Data API and JavaScript
Table of Contents

Some JavaScript Fundamentals
1 Introduction
2 What is JavaScript
3 The Developer Console
4 The Syntax
5 Variables
6 Variable Naming Convention
7 JavaScript Statements
8 Executing a program
9 Data Types
10 Arrays
11 Conditional Statements
12 Functions

Web Scraping Scrape YouTube Data Using JavaScript and YouTube Data API
13 What is Web Scraping
14 What is Robot.txt
15 Legality of Web Scraping
16 Checks before web scraping
17 YouTube Data API
18 Using Googlesheets
19 Building a JavaScript Scraper Part 1
20 Building a JavaScript Scraper Part 2
21 Building a JavaScript Scraper Part 3
22 Testing the first Scraper
23 Building the second scraper
24 Testing the second scraper