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Web Scrape Anything With JavaScript

6h 9s
English
Paid

Unleash the power of web scraping with our comprehensive JavaScript course, featuring 6 dynamic projects. Expand your skillset with essential technologies through hands-on projects such as a Twitter Bot, Job Board Scraper, Stock Price Scraper, Instagram, and Reddit crawlers, and more.

Course Overview

Comprehensive Video Tutorials

Over 40 tutorial videos that leave no stone unturned, guiding you through the entire setup process, including Node JS, APIs, and the code editor. Learn through real-life trial and error coding examples.

Master Essential JavaScript Libraries

JavaScript is more than syntax; it's an ecosystem. Get familiar with essential libraries like Cheerio and Puppeteer, and expand your web scraping capabilities.

Effortless Project Deployments

Utilize the Google Cloud platform and scheduler for seamless deployments. This approach simplifies the deployment of any project, not just web scrapers.

Engaging Optional Challenges

After each tutorial, tackle optional challenges to reinforce learning. Customize each project, make it your own, and share your creations with us for feedback.

Risk-Free Learning with a Money Back Guarantee

Your satisfaction is our priority. We offer a straightforward 30-day money back guarantee, ensuring you get substantial value from this course.

About the Author: Aaron Jack (Interview Espresso)

Aaron Jack (Interview Espresso) thumbnail

Aaron Jack is a US developer and ex-Microsoft engineer who runs the Interview Espresso tutorial brand on YouTube and as a paid course catalog. His material focuses on the algorithm-and-data-structure interview prep that dominates technical interviews at large tech companies, taught in the languages those interviews actually use.

The CourseFlix listing carries three Aaron Jack courses: Python Interview Espresso, JavaScript Interview Espresso, and Web Scrape Anything With JavaScript. Material is paid and aimed at developers preparing for technical interviews or doing practical web-scraping work in JavaScript.

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#1: 0.1 Welcome + What tech we'll cover
All Course Lessons (42)
#Lesson TitleDurationAccess
1
0.1 Welcome + What tech we'll cover Demo
03:00
2
0.2 The Projects we'll build
04:08
3
0.3 How to web scrape anything
03:20
4
0.4 The multiple "Levels" of scraping
03:52
5
0.5 How to learn BEST from this course
05:32
6
1.0 - Installing Node JS + NPM
04:28
7
1.1 - Setting up VS Code
07:46
8
1.2 - Google Sheets I: Setting up the API
15:55
9
1.3 -- Google Sheets II: Creating an OOP Class
06:11
10
1.4 - Job Board Scraper I: Getting it Working
15:51
11
1.5 - Job Board Scraper II: Scraping Multiple Pages
09:46
12
2.1 - Project Intro & Twitter Developer Account Setup
08:37
13
2.2 - Twitter Bot I: Setting up our bot to use sheets + Twitter
10:01
14
2.3 - Twitter Bot II: Reading and Writing through the APIs
09:13
15
2.4 - Twitter Bot III: Deployment, Creating a Cloud Function
13:40
16
2.5 - Twitter Bot IV: Deployment, Scheduling our function to run daily
06:34
17
3.0 - How to Fetch and Parse HTML
04:46
18
3.1 - Testing different sites for scrape-ability
07:59
19
3.2 - Google Trend Scraper I: Intro & Testing it!
04:44
20
3.3 - CSS Selectors Overview
10:39
21
3.4 - Google Trend Scraper II: Fetch and Parse with Cheerio
10:10
22
3.5 - Google Trend Scraper III: Making the data useful
06:10
23
4.1 - Stock Price Scraper I: Scrape a Price in 5 lines of code!
10:38
24
4.2 - Stock Price Scraper II: Scraping Multiple Prices & Making a graph
13:43
25
4.3 - Stock Price Scraper III: Deploying it to run every day automatically
09:57
26
5.0 - Introducing Puppeteer
04:12
27
5.1 - Reddit Scraper I: Intro, Context, Motivation
04:17
28
5.2 - Reddit Scraper II: Puppeteer basics, crafting a strategy
11:10
29
5.3 - Reddit Scraper III: Expanding comments with click & scroll
13:13
30
5.4 - Reddit Scraper IV: Scraping comments and points with $eval
12:57
31
5.5 - Reddit Scraper V: Creating sheets dynamically to store comment threads
11:55
32
5.6 - Reddit Scraper VI: Running in Headless Mode
04:00
33
6.1 - Introducing the final project
03:08
34
6.2 - Our 3 part plan for getting this done
08:59
35
6.3 - Instagram Crawler I: Logging in by typing text
10:32
36
6.4 - Instagram Crawler II: Liking photos with advanced selectors
17:15
37
6.5 - Instagram Crawler III: Scraping a Single Profile / Naive approach
11:43
38
6.6 - Instagram Crawler IV: Scraping multiple profiles / Robust approach
05:49
39
6.7 - Instagram Crawler V: Setting up Google Sheets for Instagram
06:57
40
6.8 - Instagram Crawler VI: Bulk UPDATING Google sheets rows
08:58
41
6.9 - Instagram Crawler VII: Deploying Puppeteer to run every day
14:38
42
Course recap
03:46
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Frequently asked questions

What prior knowledge do I need before enrolling in this course?
Before enrolling, you should have a basic understanding of JavaScript as this course uses JavaScript libraries such as Cheerio and Puppeteer extensively. Familiarity with Node.js and APIs will also be beneficial, as these are integral parts of the setup process covered in the course.
What projects will I be able to build by the end of the course?
By the end of the course, you will have built several web scraping projects including a Twitter Bot, a Job Board Scraper, a Stock Price Scraper, and crawlers for Instagram and Reddit. These projects are designed to give you practical experience with real-world applications of web scraping.
Who is the target audience for this course?
This course is ideal for developers who want to enhance their JavaScript skills by learning web scraping techniques. It is also suitable for those interested in automating data collection tasks or building web-based bots and crawlers using JavaScript.
How does this course compare to other web scraping courses in terms of depth and scope?
Unlike some web scraping courses that focus on theoretical knowledge, this course emphasizes practical, hands-on experience. It features over 40 tutorial videos and 6 dynamic projects, offering a comprehensive approach to learning web scraping with JavaScript through real-life coding examples.
What platforms and tools will I learn to use?
The course covers essential JavaScript libraries such as Cheerio and Puppeteer for web scraping tasks. Additionally, you will learn to use the Google Cloud platform for deploying projects and integrating APIs such as Google Sheets API for data storage and retrieval.
What topics or tools are not covered in this course?
The course does not cover web scraping using languages other than JavaScript. It also does not delve into advanced machine learning or data analysis techniques, focusing instead on the fundamentals and practical applications of web scraping using JavaScript.
How much time should I expect to commit to this course?
The course consists of 42 lessons, with over 40 comprehensive video tutorials. Depending on your pace, you should allocate several weeks to complete the course, especially if you plan to engage fully with the optional challenges and project customizations provided.