Extract structured review data — star rating, review text, reviewer details, verified purchase status, helpful votes, and timestamps — from every major review platform. Feed NLP models, brand monitoring tools, and competitive research pipelines.
From product reviews on India's largest marketplaces to app store ratings and hospitality platforms — one pipeline, every source.
Each review record includes the full metadata context alongside the review text — structured for direct use in NLP pipelines, sentiment models, and BI dashboards.
A snapshot from a product review extract for a consumer electronics brand across Amazon India and Flipkart.
| platform | product | rating | review_title | verified | helpful_votes | sentiment | topic_tags | date |
|---|---|---|---|---|---|---|---|---|
| Amazon IN | TWS Earbuds Pro | 5 | Best budget earbuds — great bass | Yes | 142 | Positive | sound, battery, value | 2026-03-18 |
| Flipkart | TWS Earbuds Pro | 3 | Good but connectivity issues | Yes | 38 | Neutral | connectivity, pairing | 2026-03-15 |
| Amazon IN | TWS Earbuds Pro | 1 | Stopped working after 2 weeks | Yes | 87 | Negative | durability, warranty | 2026-03-10 |
| Amazon IN | BT Speaker 20W | 5 | Excellent sound, worth the price | Yes | 213 | Positive | sound, value, build | 2026-03-19 |
| Flipkart | BT Speaker 20W | 4 | Good bass, delivery was fast | No | 19 | Positive | delivery, bass | 2026-03-20 |
// sentiment_tag and topic_tags are AI-enrichment add-on · full review text included in dataset · JSONL format available for NLP pipelines
Monitor your product's review sentiment, detect quality issues early, and benchmark your ratings against direct competitors across every sales channel.
Train sentiment models, aspect-based opinion mining systems, and review summarisation models on large structured review corpora with standardised fields.
Understand what consumers love and complain about in any product category — at scale, across platforms, and over time — without manual reading.
Track review sentiment as a real-time signal for brand health and customer satisfaction for listed consumer companies and portfolio brands.
Analyse competitor reviews to find product gaps and feature improvements. Monitor your own reviews across all selling channels with daily new-review alerts.
Track guest and diner reviews across Google, TripAdvisor, Zomato, and Booking.com to manage reputation and benchmark against competing properties.
Share your product ASINs, URLs, or category and tell us which platforms to extract from. We scope volume and confirm backfill depth within hours.
We extract a real sample covering your target products and platforms. You review field coverage, sentiment tag accuracy, and data structure before committing.
One-time historical backfill or a daily monitoring pipeline that captures every new review within 24 hours of posting.
CSV, JSONL, or BigQuery. AI-enriched sentiment and topic tags available as an add-on. Slack and email alerts for rating drops or review surges.
Tell us your products and platforms — free sample review dataset with optional sentiment tags delivered within 48 hours.
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