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reviews

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Recent customer reviews

Recent customer reviews for an app from Apple's public RSS feed, per storefront: rating distribution, average of the fetched reviews, and review texts (for mining user phrasing as keyword candidates). Pages 1-10, ~50 most-recent reviews per page.

input

appId *
integer
App Store trackId of the app
countries
string[]
2-letter storefront codes, e.g. ["US", "GB", "JP"]. Each storefront is queried separately.(default ["US"])
page
integer
RSS feed page(default 1)
limit
integer
Max review texts included per storefront(default 10)

example call

tools/call → reviews
{
  "name": "reviews",
  "arguments": {
    "appId": 6446901002
  }
}

output

appId *
integer
page *
integer
storefronts *
object[]
country *
string
count *
integer
reviews fetched from this page
averageRating *
number | null
distribution *
object
1 *
integer
2 *
integer
3 *
integer
4 *
integer
5 *
integer
reviews *
object[]
id *
string
rating *
integer
title *
string
text *
string
author *
string
version *
string | null
date *
string | null
note *
string
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