📹 Chapter 9: How to Design a Web Crawler
🕸️ How to Design a Web Crawler | System Design Explained
Hey BrainBooster family! đź§
Welcome to Part 9 of our System Design series.
In this video, we’re exploring Chapter 9: Design a Web Crawler from System Design Interview: An Insider’s Guide by Alex Xu.
Have you ever wondered how Google finds and indexes billions of web pages? Or how scrapers pull data from thousands of websites in real-time?
The answer: Web Crawlers — and today, we’ll learn how to build one from the ground up.
Whether you’re preparing for a system design interview or working on your own search engine, this chapter is a goldmine.
✅ In this video, we’ll cover:
What is a web crawler and why is it important?
Core requirements: crawling, storing, and avoiding duplicates
Functional vs Non-functional requirements
How to respect robots.txt, rate limits, and domain throttling
Strategies for URL deduplication using bloom filters, hash sets, and canonicalization
Scalable architecture: multi-threaded crawling, task queues, and distributed workers
Data storage using databases and file systems
Techniques to prioritize important pages (like BFS, DFS, or PageRank-style scoring)
Handling challenges like infinite loops, broken links, and duplicate content
We’ll also walk through a real-world example:
Designing a crawler that visits millions of pages a day without breaking any website rules — and scaling it across multiple machines.
Whether you're building a mini crawler or an enterprise-grade search engine, this video will give you the foundational blueprint.
📚 Book Mentioned
System Design Interview: An Insider’s Guide by Alex Xu
đź’¬ Connect with Me
Got questions? Ideas? Drop them in the comments below. Let’s learn and grow together!
đź”” Subscribe for More
Don’t miss upcoming episodes on scalable systems, distributed computing, and interview prep.
Hit Subscribe and turn on the notification bell so you never miss a boost.
Thanks for watching, BrainBooster family! 🎯
See you in the next chapter!