Why in-person conferences still matter these days

By freeCodeCamp.org
Published: May 28, 2026

“
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: https://evomi.com/freecodecamp

?? Course developed by @GavinLon

? Code
– Link to Python Web Scraper Scripts: https://github.com/GavinLonDigital/Python_WebScraping_Scripts
– Link to Full-stack web application code (MERN): https://github.com/GavinLonDigital/InfoData

?? 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

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