Building a Product Review Aggregator with Web Scraping

Why Aggregate Product Reviews? Product reviews are scattered across dozens of platforms — Trustpilot, G2, Amazon, Google, Yelp, Capterra. Building a review aggregator that pulls data from multiple sources gives you a unified view of customer sentiment. This is invaluable for: Brand monitoring — Track your reputation across platforms Competitive intelligence — Compare your reviews against competitors Product development — Identify recurring complaints and feature requests Market research — Understand category trends from review patterns In this tutorial, we'll build a Python review aggregator that scrapes Trustpilot, G2, and product review pages. Architecture ┌──────────────┐ │ Trustpilot │──┐ ├──────────────┤ │ ┌────────────┐ ┌──────────┐ ┌──────────┐ │ G2 │──┼──▶│ Aggregator │──▶│ Analyzer │──▶│ Reporter │ ├──────────────┤ │ └────────────┘ └──────────┘ └──────────┘ │ Amazon │──┘ └──────────────┘ The Review Data Model from dataclasses import dataclass , field from datetime import datet