Product Review Summarizer: 500 competitor reviews distilled into what buyers actually want
An n8n workflow that scrapes the reviews of any Amazon or AliExpress product with an Apify actor, has Claude cluster them into top praises, top complaints, and unmet wishes, and writes a one-page product-improvement brief to Google Sheets — market research that used to take a weekend, done in minutes.
- 1
Trigger with a product URL
Add an
n8n Form Triggerwith two fields: product URL and review count (default 300). You run this on demand per product you're researching — it's an analysis tool, not a scheduled job. - 2
Scrape reviews via Apify
An
HTTP Requestnode calls Apify'srun-sync-get-dataset-itemsendpoint for the review actor matching your marketplace. Pass the product URL and max results. The response is a clean JSON array of review texts, ratings, and dates — no HTML parsing on your side. - 3
Distill with Claude
A
Codenode concatenates review texts (capped to fit the context window, newest first), then anHTTP Requestto Claude asks for the five-section brief in structured JSON. One long prompt beats many small ones here — clustering needs to see all reviews at once. - 4
Write the brief to Sheets
A
Google Sheetsnode appends one row per product: URL, date, and the five sections in separate columns. Over time this sheet becomes your niche's voice-of-customer database — searchable, comparable, yours.
Frequently asked questions
Which review sources work?
Anything Apify has a maintained actor for: Amazon, AliExpress, Etsy, Walmart, Trustpilot. You paste the actor ID and product URL into the trigger form. The Claude analysis step is source-agnostic — it just reads review text.
How much does a run cost?
Apify's review actors typically cost $0.30–$1 per 500 reviews on the free-tier credits, and one Claude summarization call on that batch is a few cents. Call it under $1.50 per product analyzed — versus hours of reading.
What exactly does the brief contain?
Five sections: top 5 praises with frequency estimates, top 5 complaints, feature wishes buyers mention, recurring quality-control issues, and three ad angles pulled from the reviewers' own wording. The last one is the sleeper hit — copy written in customer language converts.