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Design A Scalable Web Crawler

Last updated: May 14, 2026

Quick Overview

This question evaluates scalable system architecture and distributed systems competencies, specifically testing web crawler concepts such as URL discovery and deduplication, scheduling and prioritization, politeness-aware fetching, parsing and link extraction, storage of content and metadata, failure handling, and monitoring.

  • medium
  • Microsoft
  • System Design
  • Software Engineer

Design A Scalable Web Crawler

Company: Microsoft

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Technical Screen

Design a scalable web crawler that discovers, fetches, parses, and stores web pages for downstream use such as search indexing or content analysis. Your design should cover: - URL discovery and deduplication. - Scheduling and prioritization of crawl jobs. - Fetching pages while respecting robots.txt, rate limits, and per-domain politeness. - Parsing pages and extracting links. - Storage for crawled content, metadata, and crawl state. - Handling failures, retries, duplicate content, and very large scale. - Monitoring and operational concerns.

Quick Answer: This question evaluates scalable system architecture and distributed systems competencies, specifically testing web crawler concepts such as URL discovery and deduplication, scheduling and prioritization, politeness-aware fetching, parsing and link extraction, storage of content and metadata, failure handling, and monitoring.

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Microsoft logo
Microsoft
Apr 18, 2026, 12:00 AM
Software Engineer
Technical Screen
System Design
0
0

Design a scalable web crawler that discovers, fetches, parses, and stores web pages for downstream use such as search indexing or content analysis.

Your design should cover:

  • URL discovery and deduplication.
  • Scheduling and prioritization of crawl jobs.
  • Fetching pages while respecting robots.txt, rate limits, and per-domain politeness.
  • Parsing pages and extracting links.
  • Storage for crawled content, metadata, and crawl state.
  • Handling failures, retries, duplicate content, and very large scale.
  • Monitoring and operational concerns.

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