App Review Intelligence
Pricing
from $6.50 / 1,000 evidence source processeds
Analyze supplied app reviews for themes, regressions, release issues, sentiment, and product intelligence without live fetching by default.
Review records to analyze when using a single app target. Each item can include reviewId, appId, appName, platform, country, rating, title, text, version, and reviewedAt.
[ { "reviewId": "ios-1001", "appId": "com.example.notes", "appName": "Example Notes", "platform": "ios", "country": "US", "rating": 5, "title": "Fast again after the latest release", "text": "The new version opens faster and sync finally feels reliable. Offline notes showed up after I reconnected.", "version": "4.8.1", "reviewedAt": "2026-06-29T14:10:00.000Z" }, { "reviewId": "ios-1002", "appId": "com.example.notes", "appName": "Example Notes", "platform": "ios", "country": "US", "rating": 1, "title": "Crashes when attaching photos", "text": "Since version 4.8.1 the app crashes every time I attach a photo to a note. This broke my trip planning workflow.", "version": "4.8.1", "reviewedAt": "2026-06-30T09:42:00.000Z" }]Optional multi-target input. Each target can include targetId, appId, appName, platform, sourceUrl, and its own reviews array.
[]Reference URLs for review sources. They are recorded in output but not fetched unless a future network implementation explicitly enables it.
[]Alias for Max Targets/Maximum Records used by the Junipr actor baseline. When both are provided, actor-specific limits still apply.
Maximum reviews analyzed per target. Default is small enough for Apify automated input checks.
Maximum app targets analyzed in one run.
Minimum mentions required before a theme appears in the dominant theme list.
Write JSON and Markdown summary artifacts to the key-value store.
Hard local spending cap for actor-start, per-item, and report events. The actor stops before work or withholds uncharged output when the next event would exceed this amount.
Validate and count supplied review inputs without pushing dataset rows.