Public product reviews from Indian online stores with star ratings, language detection and aspect-level sentiment; reviewer names and profiles are removed at collection.
Data product · Listing updated 11 Nov 2026
India
Weekly
410 million reviews, about 3 million new reviews a week
Small and medium businesses, Mid-market, Enterprises
Public product reviews on Indian marketplaces and D2C stores
Weekly collection of public review pages; identifiers removed at ingestion; multilingual aspect classification
Turn hundreds of millions of public product reviews into structured feedback on quality, packaging, delivery and value, in English, Hindi and Hinglish.
Reviews are collected from public product pages only. Reviewer names, profile links, photos and any other identifiers are dropped at collection and never stored, and phone numbers or email addresses typed into review text are masked before delivery. Aspect labels come from a multilingual classifier fine-tuned on 120,000 human-annotated reviews; quarterly spot checks show 89% agreement with annotators on aspect sentiment. History starts in 2019 for the top 40 categories and in 2022 for the rest.
13 fields as documented by Bazaarlens Commerce Data.
| Field | Type | Description | Example |
|---|---|---|---|
| review_id | string | Bazaarlens review ID (not the store's ID) | — |
| product_id | string | Bazaarlens product ID | — |
| brand | string | Normalized brand | — |
| store | string | Store where the review was published | — |
| rating | integer | Star rating, 1–5 | — |
| review_date | date | Publication date | — |
| review_text | string | Review text with contact details masked | — |
| language | string | Detected language or code-mixed label | — |
| text_en | string | Machine translation to English | — |
| verified_purchase | boolean | Store's verified-purchase flag | — |
| helpful_votes | integer | Helpful votes shown | — |
| aspect_sentiment | json | Aspect to sentiment map (positive, neutral, negative) | — |
| spam_score | number | Likelihood the review is spam or incentivized, 0–1 | — |
Real rows from the provider's sample file. Personal data is masked before anything is shown.
| review_idstring | product_idstring | ratingstring | review_datestring | languagestring | review_textstring | aspect_sentimentstring |
|---|---|---|---|---|---|---|
| rv_1f0a | blp_04be3f | 4 | 2026-10-30 | hinglish | Smell achhi hai, packaging thoda weak tha | fragrance=positive; packaging=negative |
| rv_1f0b | blp_7c21a9 | 5 | 2026-10-29 | en | Keeps water cold all day, no leaks so far | quality=positive |
| rv_1f0c | blp_7c21a9 | 2 | 2026-10-28 | hi | डिलीवरी बहुत देर से हुई | delivery=negative |
Prices in USD, as published by Bazaarlens Commerce Data
up to five categories, internal analytics
full corpus with AI training licence
Converted amounts use DataStoa display rates and are approximate. Bazaarlens Commerce Data quotes the final price, taxes and terms.
Request detailed pricing1 country.
Time coverage: 2019 to present.
Provider-reported
Latency: Weekly
DataStoa has not audited these figures. Ask the provider how they are measured, or test them on a sample.
The licence is agreed directly between you and Bazaarlens Commerce Data. This summary is provider-reported; the linked terms prevail.
Not listed: use in commercial products, AI retrieval and grounding, redistribution allowed, marketing and outreach, research use. Ask Bazaarlens Commerce Data if you need any of these.
Product, price, seller and review data from Indian and SE Asian e-commerce
Bazaarlens tracks product catalogs, prices, promotions, sellers and reviews across leading Indian marketplaces and D2C stores, with growing coverage in Southeast Asia. Every product is matched to a stable Bazaarlens product ID so buyers can compare the same item across stores and over time.
Also available on: Snowflake Marketplace, AWS Data Exchange
What buyers say about Bazaarlens Commerce Data. Reviews cover the provider, not only this listing.
from 3 reviews
Aspect-level sentiment on noise, build quality and after-sales service showed exactly where our mixer grinders lost to competitors. Reviewer identities are stripped, which kept our legal team happy.
Arjun P., Product insights manager, Kitchen appliances maker
The assortment data is very good. Estimated sales for sellers are useful for ranking competitors but were off by a fair margin for two sellers whose real numbers we know. Treat them as relative, not absolute.
Neha K., Category strategy lead, Consumer electronics brand
We track about 3,000 SKU and store pairs every day, including flash-sale prices, and the file is in our bucket before the pricing stand-up. Product matching to our catalogue needed one round of corrections in the first week.
Rohan M., Pricing manager, D2C personal care brand