Web Scraping with Python & JavaScript – MERN Stack Full Course

Published 29 May 2026 · general

Learn to build robust web scrapers that can defeat modern anti-bot systems. In this 5.5-hour full-stack course, you will transition from basic Python scripting to

Learn to build robust web scrapers that can defeat modern anti-bot systems. In this 5.5-hour full-stack course, you will transition from basic Python scripting to deploying a full MERN dashboard that scrapes and visualizes real-world data from Amazon, Booking.com, Indeed, and the TIOBE Index. By the end of this course, you will have a deployed, full-stack application featuring a React dashboard that visualizes live scraped data. It is completely professional enough to put on your portfolio or use as a production template for client work. 🛠 Tech Stack Languages: Python | JavaScript Scraping & Bypass: Playwright | Cheerio | Evomi Scraping Browser | Evomi Scraper API | Residential Proxies Full-Stack: Node.js | Express | MongoDB | React | Vite | Bootstrap 🔗 Start Scraping with Evomi ✏️ Course developed by @GavinLon 💻 Code Link to Python Web Scraper Scripts Link to Full-stack web application code (MERN) 🏗️ Evomi provided a grant to make this course possible. Chapters 0:00:00 Introduction 0:12:44 Part1 - Web Scraping with Python Scripts - Overview 0:16:27 Scraping booking.com using Python Script and Evomi’s Scraping Browser 0:37:10 Scraping indeed.com using Python Script and Evomi’s Scraper API 0:48:39 Scrape amazon.com using Python Script and Evomi’s Core Residential Proxies 1:00:06 Part 2 - Pass Bot Detection Tests with Evomi’s Scraping Browser - Overview 1:04:18 Access Bot Detection WebSite using JavaScript - Through Standard Playwright 1:13:29 Access Bot Detection WebSite using JavaScript - Through Evomi’s Scraping Browser 1:18:39 Part 3 - Full-stack Web Scraping App using MERN - Overview 1:22:11 Getting Setup to Create the Full-stack Web Application 1:28:17 Install Dependencies for the Server-side Node project 1:29:26 Create server.js Code file 1:42:03 Create language.js Code File -To Define Schema for the TIOBE Index Data Model 1:51:18 Create tiobeService.js Code File - To Create Scraping/Parsing Code using Evomi’s Scraper API and Cheerio Respectively 2:12:41 Create tiobeController.js Code File - To Handle Incoming http Request Logic 2:23:02 Quick Bug Fixing Session Before Testing Code Through Postman 2:26:01 Test Scraping the TIOBE Index through Postman 2:32:28 Create the React Code to Display Scraped Tiobe Index Data 2:32:49 Setup React Client Project using VITE 2:35:50 Create Tiobe React Component 2:50:17 Install Bootstrap and React-Router-Dom 3:07:24 Within App.jsx Create the Route for the Tiobe Component 3:26:35 Run the React Client to Test the Tiobe React Component 3:37:01 Fix Cosmetic Issues 3:39:29 Run Code to Test Cosmetic Fixes 3:40:27 How to Poll Request to Evomi Using Evomi’s Scraper API. 3:45:24 Implement Server-side Node Code to Scrape Amazon Search Results 3:45:58 Create Amazon Route in server.js 3:46:50 Create Book Model to Define the Scheme for Amazon Search Data 3:56:27 Create amazonService.js Code File - To Create Scraping and Parsing Code using Evomi’s Scraper API and Cheerio Respectively 4:23:21 Create bookController.js Code File - To Handle Incoming http Request Logic 4:24:41 Make Sure the bookController.getAmazonBooks is Mapped to Route 4:34:42 Test Server-side Node Code for Scraping Amazon Search Results using Postman 4:36:41 Debug Session - Fix and Issue 4:37:19 Run Code - Tested with Successful Results 4:38:41 Create React Code to Display Amazon Search Results 4:40:06 Create Amazon React Component 5:21:26 Test React Code for Amazon Web Scraping 5:25:12 Fix Cosmetic Issues 5:27:20 Run Code to Check Cosmetic Fixes 5:36:27 Outro