Use code TECHWITHTIM to get a 20% discount on Web Scraper API from Oxylabs:
https://oxylabs.go2cloud.org/aff_c?offer_id=7&aff_id=1684&url_id=182

Get a free trial and scrape 2,000 Amazon URLs. No credit card required:
https://oxylabs.go2cloud.org/aff_c?offer_id=7&aff_id=1684&url_id=182

Web Scraper API Docs: https://developers.oxylabs.io/scraping-solutions/web-scraper-api

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🎞 Video Resources 🎞
Code in this video: https://github.com/techwithtim/AmazonPriceCompetitorAnalysisLLM

⏳ Timestamps ⏳
00:00 | Overview
00:01:54 | Project Demo
00:04:10 | Project Architecture/Design
00:07:04 | Project Setup and Dependencies
00:09:57 | Scaffolding the Project
00:13:44 | Streamlit UI Setup
00:19:57 | Database Setup
00:25:18 | Web Scraping Logic (Amazon Product)
00:41:42 | Viewing Product Cards (UI)
00:50:35 | Saving Products in Database 
00:54:30 | Gathering Competitors (Amazon Search)
01:21:57 | Displaying All Products (UI)
01:35:32 | LLM Analysis (Langchain) 
01:51:20 | Oxylabs AI Studio

Hashtags
#Python #WebScraping #Oxylabs

TechWithTim, founded by Tim Ruscica, is a popular YouTube channel and blog offering tutorials, guides, and projects on programming, game development, and machine learning. With a friendly and approachable teaching style, Tim covers a wide range of topics, including Python programming, game development with Pygame, and machine learning algorithms with TensorFlow and Keras. Developers of all skill levels can benefit from TechWithTim's engaging content and hands-on coding projects, making it an in resource for learning and honing technical skills.

Tech With Tim

A comprehensive tutorial demonstrating how to build an Amazon competitor analysis tool using Python. The project combines web scraping via OxyLabs API, Streamlit for the frontend, LangChain for AI-powered insights, and TinyDB for local data storage. The application scrapes Amazon product details, identifies competing products, and generates AI-driven competitive analysis reports. The tutorial covers setting up dependencies, implementing the scraping client, building database operations, creating a UI with product cards, and normalizing scraped data into a structured format.

Python Web Scraping: A Million Dollar Project Idea - FULL Build/Tutorial