Star averages hide the sentences that matter.

An aggregate rating tells you that customers feel something. The review bodies tell you what: shipping complaints clustering in November, praise for a specific feature competitors lack, refund friction described in customers' own words.

The Trustpilot Reviews Miner takes a product or company name and returns the review set as flat rows:

{
  "searchQuery": "wireless earbuds",
  "maxResults": 200
}

{
  "title": "Great sound, painful setup",
  "rating": "4",
  "body": "…",
  "date": "2026-07-14"
}

Where it earns its keep

Competitive intelligence: theme-cluster your rival's one-star reviews and build the comparison page they can't. Product research: validate demand for a niche before stocking it. Reputation tracking: watch a brand's review themes shift month over month.

The honest limit: Trustpilot skews toward motivated reviewers — extremes on both ends. Read distributions alongside volume trends rather than taking any single rating as ground truth.