Analyze Amazon review friction and revenue impact with Bright Data, OpenRouter and Google Sheets

Description This workflow automatically extracts Amazon product reviews and identifies hidden friction signals that are costing you conversions. It helps ecommerce and product teams turn customer complaints into measurable revenue opportunities.

Overview This workflow uses Bright Data's Web Scraper API to collect Amazon reviews, then scans them for friction signals like delivery issues, return complaints, sizing problems, and product defects.

AI classifies each friction signal by revenue impact, scores severity, and prioritizes the most costly conversion leaks.

Results are split into: - Checkout Optimization List - Delivery & Returns Risk Report

Both are logged into Google Sheets for immediate action.

Tools Used - n8n: Automation platform that orchestrates the workflow - Bright Data: Scrapes Amazon product reviews at scale without getting blocked - OpenRouter: AI-powered friction classification, revenue impact estimation, and prioritization - Google Sheets: Logs checkout optimization opportunities, delivery risks, and errors

How to Install

1. Import the Workflow Download the .json file and import it into your n8n instance.