PRODUCT REVIEWS DATASET

Review data at scale,
scored and PII-free.

// THE SHORT ANSWER

Product-reviews datasets are ready-to-license customer review data — ratings, review text, sentiment scores, themes, product and platform — collected across marketplaces and PII-scrubbed at source. iWeb Data Scraping delivers them structured and enriched, so NLP teams, brands and researchers can work with review data at scale without building collection, and without handling reviewer personal data.

Get free sample in 48h See the data
99%+field accuracy, QA-verified
48hfree sample turnaround
24/7pipeline monitoring
ISO 27001+ 9001 certified

Key facts

  • Data point: Product & category
  • Data point: Platform
  • Data point: Star rating
  • Data point: Review text

Reviews are gold for NLP, sentiment models and customer-experience research — but collecting them at scale and handling PII correctly is work. Our product-review datasets deliver ratings, text, sentiment and themes across platforms, with reviewer identities scrubbed at the source.

License a snapshot or subscribe. For continuous, brand-specific review monitoring with theme tracking, see reviews & ratings intelligence.

THE POINT

One vertical, every platform that matters in it — matched into a single feed your team actually uses.

DATA POINTS WE EXTRACT

What's in the dataset.

Product & category
Platform
Star rating
Review text
Sentiment score
Theme tags
Review date
Verified-purchase flag
Helpful votes
Region
Language
(No reviewer PII)
SEE THE DATA FIRST

What you'll actually receive.

Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.

Product-reviews dataset — rating, text, sentiment (PII-free).
product platform rating review_snippet sentiment date
Wireless Earbuds Amazon 5 Great sound, battery lasts all day +0.8 2026-07-05
Wireless Earbuds Amazon 2 Left bud stopped working in a week -0.7 2026-07-06
Cotton T-Shirt Flipkart 4 Good fabric, runs slightly small +0.3 2026-07-04
Water Bottle Amazon 5 Leakproof and keeps drinks cold +0.9 2026-07-06
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
WHO USES THIS

Built for the person
who owns the number.

NLP / AI TEAM

Train sentiment models

Large, labeled review corpora with sentiment and themes, PII-free.

BRAND / CX

Study customer feedback

Ratings, themes and sentiment across your and competitors' products.

RESEARCHER

Analyze at scale

Structured review data across categories and platforms.

RELATED:Reviews & Ratings Intelligence →AI & LLM Training Data →E-commerce Datasets →
FAQ

Before the first call.

Product and category, platform, star rating, review text, sentiment score, theme tags, review date, verified-purchase flag, helpful votes, region and language — enriched with sentiment and themes, and PII-scrubbed (no reviewer identities).

No — reviewer names, handles and identifiers are scrubbed at the point of collection. The dataset retains the review text, rating and metadata that carry the signal, but not identifiable individuals, consistent with GDPR-style principles.

Yes — reviews come with sentiment scores and theme tags, making the dataset useful for training and evaluating sentiment and classification models out of the box, not just raw text.

Marketplaces like Amazon and Flipkart and other review sources, across the product categories you specify. For continuous, brand-specific monitoring with regional theme tracking, our reviews & ratings intelligence solution is the fit.

Get a free sample dataset in 48 hours.