We extract reviews by ASIN from 14 Amazon marketplaces with rating, title, text, date, verified purchase and helpful votes, with no authors or personal data. For product, quality and brand teams that want to analyse the voice of the customer at scale.
Quick answer: Amazon reviews by ASIN from 14 marketplaces with rating, title, text, date, verified purchase and helpful votes, without authors or personal data, plus a public 24-row sample in CSV and JSON. Delivery is by running the actor on Apify or as a licensed dataset in S3, CSV or JSON, weekly or monthly.
This is what you receive for each review. The public sample can be downloaded without signing up.
| ASIN | Marketplace | Review country | Rating | Title | Verified purchase | Helpful votes |
|---|---|---|---|---|---|---|
| B0BSHF7WHW | amazon.com | United States | 5 | This thing is insane. | true | 65 |
| B0BSHF7WHW | amazon.com | United States | 5 | Awesome Device Awesome Seller Interaction | true | 30 |
| B0BSHF7WHW | amazon.com | United States | 5 | Apples products are good but expensive | true | 5 |
| B0D1XD1ZV3 | amazon.com | United States | 5 | Fantastic product | true | 0 |
| B0D1XD1ZV3 | amazon.com | United States | 5 | Great for everyday audio | true | 71 |
| B0D1XD1ZV3 | amazon.com | United States | 5 | Apple AirPods | true | 0 |
Real rows from the Amazon sample (two products). The author name is neither collected nor shown. The full file has 24 rows and also includes the text of each review.
| Field | Before (as it arrives) | After (normalized) |
|---|---|---|
| date_raw → review_date | Reviewed in the United States on July 22, 2023 | 2023-07-22 |
| country | the United States | US |
| rating | 5 | 5 |
Real example with the first review in the sample: the date arrives as localized text and is delivered as an ISO date.
Twelve stable fields per review, with type and description.
| Field | Type | Description |
|---|---|---|
| review_id | string | Review identifier |
| asin | string | Reviewed product |
| marketplace | string | Amazon domain (for example, amazon.com) |
| country | string | Country in which the review was posted |
| rating | integer | Star rating from 1 to 5 |
| title | string | Review title |
| body | string | Review text |
| date_raw | string | Date as shown by Amazon |
| verified_purchase | boolean | Verified purchase |
| helpful_votes | integer | Helpfulness votes from other shoppers |
| has_media | boolean | The review includes photos or video |
| scraped_at | datetime | Capture date |
Real fields from the public sample. Reviews are delivered with no author name or profile.
Coverage is that of the public actor. The number of reviews per product depends on the product and the marketplace; the sample above is only an extract.
Monthly or weekly for tracking; a single capture for a one-off analysis.
No. Rows include no author name, profile or identifier. You receive the rating, text, date, verified purchase and helpful votes, which is enough to analyse the review.
From 14 marketplaces, according to the public actor listing on the Apify Store. Tell us the countries and ASINs you care about.
The public actor supports over 500 reviews per product. The actual number depends on how many reviews Amazon publishes for that ASIN and marketplace.
JSON and CSV from Apify or by API, and recurring delivery into your own S3 bucket. Dates can be delivered in ISO format.
Yes. The public actor includes per-ASIN price tracking with alerts. See the price monitoring page to learn how it combines with other sources.
Tell us which products and marketplaces you want to analyse and we will send a sample in the schema you would receive.
We assess the source and add it as a custom project.