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Scraping e-commerce data at scale is tough. CAPTCHAs, IP bans, rate limits, and JavaScript-rendered content can kill your scripts. In this video, I walk through how I built a scalable scraping pipeline—from a basic Python script to a production-ready system—using **Decodo's residential proxies and Site Unblocker API**.
📌 You’ll learn:
How to scrape sites like books.toscrape.com and Amazon.com
How to helps bypass bot protection using proxy rotation
How to scale scraping with proxies, retries, and session rotation
What a real-world price-tracking architecture looks like on AWS/GCP
Whether you're tracking competitor prices or building a research tool, this breakdown covers it all—from code to cloud deployment.
/ bytemonk
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Timestamps:
0:00 – Why Web Scraping Isn’t Easy at Scale
0:40 – Web Scraping Basics with Python & BeautifulSoup
1:41 – Intro to Proxy Rotation & Rate Limits
2:18 – Using Free Proxies with Retry Logic
4:04 – Decodo Setup: Residential Proxies & Sticky Sessions
5:15 – Python Script with Decodo to Scrape BooksToScrape
6:38 – Scraping Amazon with Decodo’s Site Unblocker
7:10 – Real-World Price Tracker System Architecture (Cloud)
8:18 – Monitoring, Alerts & Data Pipelines
11:10 – What’s Next: All-in-One Scraping API
• System Design Interview Basics
• System Design Questions
• LLM
• Machine Learning Basics
• Microservices
• Emerging Tech
AWS Certification:
AWS Certified Cloud Practioner: • How to Pass AWS Certified Cloud Practition...
AWS Certified Solution Architect Associate: • How to Pass AWS Certified Solution Archite...
AWS Certified Solution Architect Professional: • How to Pass AWS Certified Solution Archite...
#WebScraping #proxyserver #PythonScraper #ProxyRotation #AmazonScraping #SystemDesign #Bytemonk
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