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Design a marketplace price tracking service

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's ability to design scalable, reliable ingestion and processing pipelines, time-series price storage and querying, deduplication across users, and notification/alert mechanisms for a large-scale price-tracking service.

  • medium
  • Meta
  • System Design
  • Software Engineer

Design a marketplace price tracking service

Company: Meta

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Onsite

Design a large-scale product price tracking service similar to an e-commerce price monitor. Users can submit product links from a major online marketplace, view historical price changes, and receive alerts when a product drops below a target price. Your design should address: - Product URL ingestion and canonicalization - Periodic price collection for millions of tracked products - Historical price storage and visualization - User-defined alert thresholds and notifications - Deduplication when many users track the same product - Freshness, scalability, reliability, and operational constraints

Quick Answer: This question evaluates a candidate's ability to design scalable, reliable ingestion and processing pipelines, time-series price storage and querying, deduplication across users, and notification/alert mechanisms for a large-scale price-tracking service.

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Meta
Mar 4, 2026, 12:00 AM
Software Engineer
Onsite
System Design
1
0

Design a large-scale product price tracking service similar to an e-commerce price monitor. Users can submit product links from a major online marketplace, view historical price changes, and receive alerts when a product drops below a target price.

Your design should address:

  • Product URL ingestion and canonicalization
  • Periodic price collection for millions of tracked products
  • Historical price storage and visualization
  • User-defined alert thresholds and notifications
  • Deduplication when many users track the same product
  • Freshness, scalability, reliability, and operational constraints

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