Turns Amazon product reviews into a seller-ready action plan: sentiment, recurring themes (quality, sizing/fit, shipping, packaging, value, defects), top complaints & praises, and prioritized product & listing fixes. Connect any Amazon review-scraper output and get decisions, not rows.
Input
| Input | Type | What it does |
|---|---|---|
reviews |
array | The Amazon product reviews to analyze |
businessName |
string | The product name or ASIN |
domainContext |
string | E-commerce context that guides theme extraction |
language |
string | Language of the analysis content (sentiment and action text) |
model |
string | LLM model |
maxAksiyon |
integer | How many prioritized actions to show in the main table (for focus) |
Running it
Start it from the Apify Console, call it over the REST API, or expose it to an agent as an MCP tool — the dataset is the same either way.
What it costs
Pay per event, not per hour: starting a run is free, and you are charged for the results you actually get.
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