Consuming data with API - Web Scraping- Python, JavaScript

Consuming data with API | Web Scraping: Python, JavaScript, available at $44.99, with 52 lectures, and has 8 subscribers.

You will learn about Scrape data from a website and save extracted data to a text file Scrape YouTube data into Google Sheets Scrape and email amazon data Build an application to consume data with API Build scrapers with Python Build scrapers with JavaScript and API This course is ideal for individuals who are Beginner Data Analyst or Beginner Data Scientist It is particularly useful for Beginner Data Analyst or Beginner Data Scientist.

Enroll now: Consuming data with API | Web Scraping: Python, JavaScript

Summary

Title: Consuming data with API | Web Scraping: Python, JavaScript

Price: $44.99

Number of Lectures: 52

Number of Published Lectures: 52

Number of Curriculum Items: 52

Number of Published Curriculum Objects: 52

Original Price: $34.99

Quality Status: approved

Status: Live

What You Will Learn

Scrape data from a website and save extracted data to a text file

Scrape YouTube data into Google Sheets

Scrape and email amazon data

Build an application to consume data with API

Build scrapers with Python

Build scrapers with JavaScript and API

Who Should Attend

Beginner Data Analyst

Beginner Data Scientist

Target Audiences

Beginner Data Analyst

Beginner Data Scientist

We build an application with Python and Django  and use it to  transform the data that an API sends, so our application is acting as a client and consuming the data.

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: Python Setup

Lecture 1: Introduction

Lecture 2: Installing Python on Windows

Lecture 3: Installing Python on Macs

Lecture 4: Creating a virtual environment on Windows

Lecture 5: Activating a virtual environment on Windows

Lecture 6: Updating pip on windows

Lecture 7: Creating a virtual environment on Macs

Lecture 8: Activating a virtual environment on Macs

Lecture 9: Updating pip on Macs

Chapter 2: Consume News with API ,Python and Django

Lecture 1: What is an API

Lecture 2: Installing Django on Windows

Lecture 3: Installing Django on Macs

Lecture 4: Creating a Django Project

Lecture 5: Creating a Django App

Lecture 6: Starting a Django Server

Lecture 7: Create URLS Route

Lecture 8: Install Request Module

Lecture 9: Generate API Key

Lecture 10: Create a view function

Lecture 11: Create HTML Template

Lecture 12: Consume data

Lecture 13: Download Project Code

Chapter 3: Web Scraping: Extract YouTube Data with API and JavaScript

Lecture 1: What is Web Scraping

Lecture 2: What is Robots.txt

Lecture 3: Legality of web scraping

Lecture 4: Checks before scraping data

Lecture 5: YouTube Data API

Lecture 6: Saving extracted data to Google Sheets

Lecture 7: Building the first JavaScript Scraper: part 1

Lecture 8: Building the first JavaScript Scraper: part 2

Lecture 9: Testing the first scraper

Lecture 10: Building the second JavaScript scraper

Lecture 11: Testing the second scraper

Lecture 12: Project Code

Chapter 4: Web Scraping: Extract Amazon Data with Python

Lecture 1: Create and activate a virtual environment

Lecture 2: Installing 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 scraper

Chapter 5: Web Scraping: Extract Data from website with Python

Lecture 1: What we will scrape

Lecture 2: Building the scraper: part 1

Lecture 3: Building the scraper: part 2

Lecture 4: Prototyping the scraper: part 1

Lecture 5: Prototyping the scraper: part 2

Lecture 6: Prototyping the scraper: part 3

Lecture 7: Prototyping the scraper: part 4

Lecture 8: Prototyping the scraper: part 5

Lecture 9: Scraping data

Instructors

Digital Learning Academy
Digital learning 24 /7

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