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In this mock interview, a seasoned software engineer designs a web crawler, detailing the intricacies involved. The discussion covers the crawler's core requirements such as scheduling, URL processing, and the prioritization of website types for effective crawling. Key aspects like avoiding duplicate content through advanced data structures like Bloom Filters and checksums for content verification are explored. The engineer also addresses nonfunctional requirements, emphasizing scalability and performance optimization, and outlines the potential for customization based on website behavior and content changes, ensuring a comprehensive approach to web crawling.

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Chapters
00:00 Introduction to Web Crawler Functionality
01:12 Exploring Key Web Crawler Components: Scheduler, Fetcher, and Politeness Policies
03:40 Discussion on Crawling Policies: Frequency, Politeness, and Duplication Avoidance
07:22 Enhancing Web Crawler Performance: Optimization and Capacity Planning
13:11 Strategies for Efficient Scheduling and DNS Resolution in Web Crawling
22:32 Techniques for Handling Duplicate Pages: URL Hashing and Bloom Filters
31:29 Advanced Topics: Checksum Logic and Recrawling Mechanisms
39:16 Setting Limits and Best Practices for Domain Crawling
41:09 Conclusion and Final Thoughts

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