Reviews and ratings data

Reviews and ratings data collects what customers say publicly about products, apps, places and services. Brand and product teams use it to find quality issues and feature requests, insights teams track sentiment against competitors, and investors watch rating trends as an early signal of demand or product problems.

Typical fields

• Item ID, item name, brand and category
• Source site or platform
• Star rating and review date
• Review title, text and language
• Helpful votes and verified-purchase flag where published
• Derived fields such as sentiment, topics and product aspects

Sources and collection

Reviews are collected from public pages on retail sites, app stores, travel and local listing sites, then deduplicated, language-tagged and often enriched with sentiment and topic models. Reviewer names and profile links are personal data: most buyers do not need them, and well-designed datasets drop or pseudonymize them.

Delivery and pricing

Reviews data comes as periodic bulk files, a cloud share or an API, usually as JSON Lines because of the long text fields. Price is driven by the number of sources and items, the volume of review text, history depth and whether enrichment such as sentiment or topic tagging is included.

Before you buy

• Check which sites and countries are covered and whether full text is included or only ratings.
• Ask whether reviewer identities are removed or pseudonymized.
• Confirm the licence allows your use, especially displaying review text or training models.
• Ask how fake or incentivized reviews are flagged.
• Check how sentiment scores were built and validated in your languages.