Product review data structured and scored
The Product Reviews and Ratings dataset gathers customer reviews for a product across retailers into a structured table, with a rating, an AI summary, a sentiment score, and a source on every row, refreshed on the schedule you set.
Why work with Product Reviews & Ratings?
Read the signal, skip the scroll
AI operations summarize each review and score sentiment so you scan a table instead of hundreds of comments.
Every review sourced
Research mode links each row back to the original review and flags verified purchases.
Spot themes over time
Scheduled refreshes keep the table current so you catch recurring complaints and praise as they emerge.
Powering Product Reviews & Ratings
AI-powered web gathering
Describe a column or dataset and ClickSet backfills it from public web sources, with no scraper scripts to maintain.
AI operations
Score, classify, extract, summarize, cluster, or detect anomalies and sentiment across rows.
Scheduled refresh
Hourly, daily, or weekly re-runs that keep data current.
Multi-source fusion
Combine multiple sources into one clean record with automated deduplication.
API access
Every dataset is a live REST endpoint with per-key spend caps.
Who uses this?
You might also work with
Frequently asked questions
Where do the reviews come from? +
Public retailer and review platform pages, gathered in research mode with a source link on each row.
How is sentiment scored? +
AI operations classify each review as positive, neutral, or negative based on its full text, not just the star rating.
Can I track several products at once? +
Yes. Name the products you care about and each review becomes rows in the same structured table.
Further reading
See how ClickSet handles your data workload
Describe the dataset you need, enrich it with hundreds of LLMs, and query the result through one API. Start on the free plan.