How to Build an Amazon Review Dataset

Start with the research question

A good review dataset is built around a question. Are you looking for product ideas, competitor weaknesses, buyer language, quality risks, or listing improvements? The answer determines what to collect.

Choose your product scope

Include direct competitors, substitutes, and products that buyers compare in reviews. Avoid building a dataset from only one ASIN unless your goal is to audit that specific product.

Recommended fields

Capture review body, title, rating, date, product title, ASIN, verified purchase status, helpful votes, and any category or product-set labels you need for analysis.

Keep the dataset usable

Tag reviews by theme and keep source ASINs visible. A dataset without context is hard to interpret later.

Using AMZShark

AMZShark helps you search Amazon review text and build product sets, making it easier to collect useful review data for analysis.