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Design Search And Web Crawling Systems

Last updated: May 23, 2026

Quick Overview

This question evaluates system-design competencies such as scalable search architecture, indexing and ranking, personalization and privacy enforcement, freshness, large-scale crawling, URL and content deduplication, and distributed resource estimation.

  • medium
  • Meta
  • System Design
  • Software Engineer

Design Search And Web Crawling Systems

Company: Meta

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Technical Screen

Design the following two large-scale systems. 1. Social-network search: Design a Facebook-like search product that lets users search for people, pages, groups, and posts. The system should support low-latency queries, relevance ranking, personalization, privacy enforcement, and reasonably fresh results as new content is created or updated. 2. Distributed web crawler: Design a web crawling platform that can run on roughly 10,000 machines. The system should discover and fetch web pages at scale, deduplicate URLs and page content, respect per-site crawling limits, use distributed caching where appropriate, and reason about network throughput, storage, and machine-count estimates.

Quick Answer: This question evaluates system-design competencies such as scalable search architecture, indexing and ranking, personalization and privacy enforcement, freshness, large-scale crawling, URL and content deduplication, and distributed resource estimation.

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Meta
May 21, 2026, 12:00 AM
Software Engineer
Technical Screen
System Design
0
0

Design the following two large-scale systems.

  1. Social-network search: Design a Facebook-like search product that lets users search for people, pages, groups, and posts. The system should support low-latency queries, relevance ranking, personalization, privacy enforcement, and reasonably fresh results as new content is created or updated.
  2. Distributed web crawler: Design a web crawling platform that can run on roughly 10,000 machines. The system should discover and fetch web pages at scale, deduplicate URLs and page content, respect per-site crawling limits, use distributed caching where appropriate, and reason about network throughput, storage, and machine-count estimates.

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