Amazon Review Gap Analyzer n8n Workflow w/ OpenAI & Slack

Find the Amazon “gap” your competitors are already benefiting from—automatically

The Amazon Review Gap Analyzer n8n Workflow w/ OpenAI & Slack turns Amazon review URLs into actionable insight: it extracts complaint and praise themes with OpenAI (GPT-5.6), compares them against up to three competitors, and publishes the results to Google Sheets and a Slack digest.

What this workflow does

• Collect inputs via an n8n form: submit a target Amazon product URL plus up to three competitor Amazon URLs.
• Pull Amazon reviews using Bright Data: the workflow triggers the Bright Data Amazon reviews dataset, then polls snapshot status every 30 seconds until results are ready (up to 10 minutes).
• Clean and focus review data: downloads the review set, removes duplicated fields, and keeps a weighted set centered on critical and most-helpful reviews per product.
• Extract themes with OpenAI (GPT-5.6): sends each product’s review set to GPT-5.6 to generate structured outputs for:
  • Complaint themes
  • Praise themes
  • Feature requests
• Identify competitive gaps: compares your complaint themes to competitors’ praise themes to surface overlapping “competitive gaps,” then uses GPT-5.6 to write a short competitive brief.
• Log and notify: appends one row per top complaint and gap to Google Sheets, and posts a formatted digest (including the brief) to Slack.

Use cases

• Pre-launch research: spot review-driven opportunities for your product roadmap.
• Competitive analysis for SaaS operators: quickly summarize where competitors are outperforming.
• Ongoing quality monitoring: review theme updates to inform support and product improvements.

Technical details

• Bright Data via HTTP Header Auth (Authorization: Bearer <YOUR_KEY>)
• OpenAI using the GPT-5.6 model (theme extraction + competitive brief)
• Google Sheets for “Review themes” sheet logging
• Slack for digest posting
• Core n8n nodes include: if, set, code, wait, and slack (plus split-out logic for handling review sets)