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Meta·Software Engineer·Onsite - System Design / Architecture·Senior

Senior
Apr 2026

Summary

System design round at Meta for an EM role. One question, pretty open-ended, and the stealth/detection angle made it more interesting than a typical crawler problem.

Questions Asked (1)

Q1

Design a web crawler that downloads content from a target site while avoiding detection.

System DesignTechnical Trade-offsAPI & Integrations
Author's notes

The evasion angle is what separates this from a vanilla crawler design.

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AI HintsAI Generated

Suggested Approach

Start by clarifying requirements and constraints, then outline a high-level architecture covering URL frontier, fetcher, parser, and storage. Discuss detection avoidance techniques like rate limiting, user-agent rotation, and proxy management, while emphasizing ethical and legal considerations. Conclude with trade-offs and scalability.

Pro tip: Emphasize that avoiding detection is not just technical but also ethical; show awareness of robots.txt, terms of service, and potential legal issues. Propose a design that balances efficiency with respect for the target site.

1. Clarify Requirements and Constraints

Ask about scale, target site characteristics, politeness policies, and legal boundaries. Determine if the crawler is for a one-time job or continuous operation.

2. High-Level Architecture

Outline components: URL frontier (priority queue), fetcher (HTTP client), parser (HTML/XML), deduplication, and storage. Mention distributed crawling if scale is large.

3. Detection Avoidance Techniques

Discuss rate limiting, user-agent rotation, proxy pools, headless browsers, and CAPTCHA handling. Explain how to mimic human behavior and avoid patterns.

4. Trade-offs and Scalability

Analyze trade-offs between speed and stealth, cost of proxies, and complexity. Discuss how to scale horizontally while maintaining anonymity.

5. Ethical and Legal Considerations

Highlight the importance of respecting robots.txt, terms of service, and copyright. Suggest implementing a politeness policy and obtaining permission when needed.

Key Points to Mention

  • Rate limiting and request throttling to avoid overwhelming the target site
  • User-agent rotation and header manipulation to mimic different browsers
  • Proxy rotation and IP diversity to avoid IP-based blocking
  • Handling dynamic content with headless browsers (e.g., Puppeteer, Selenium)
  • Distributed crawling architecture for scalability and resilience
  • Ethical and legal compliance (robots.txt, ToS, GDPR)

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.