Web Scrape Anything With JavaScript

Name: Web Scrape Anything With JavaScript
Price: 9 USD
Availability: InStock

6h 9s

English

Paid

June 25, 2024

6 Web Scraping Projects. Must-know JavaScript technologies. Projects include a Twitter Bot, Job Board Scraper, Stock Price Scraper, Intagram, Reddit crawlers and more

**The tutorial videos leave nothing out, we'll cover setting up everything (yes, even Node JS, APIs and the code editor) and show you real trial and error coding**

Essential JavaScript Libraries

JavaScript is much more than just the syntax -- you must be familiar with its ecosystem of libraries. We cover essentials like Cheerio, Puppeteer, and more

Easy Deployments

Using Google Cloud platform and scheduler -- deployment doesn't have to be a pain. This is a great way to deploy any project, not just scrapers

Optional Challenges

**At the end of every video there are a few challenges which you can attempt -- on top of that, I strongly encourage you to make every project your own and then send it to me!**

Money Back Guarantee

I am confident you'll get a lot out of this course, no weird refund policies here, just a 30 day money back guarantee.

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#	Title	Duration
1	0.1 Welcome + What tech we'll cover	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