App Store Review Insights & Themes | Appalize

Analyze App Store review samples: star distribution, low-rating share, version and month summaries, theme mentions and traceable review evidence.

Quick start

{
  "apps": [
    "324684580"
  ],
  "countries": [
    "us"
  ],
  "maxItems": 10,
  "maxReviewsPerApp": 100
}

What it analyzes

For each app and country, receive one report containing:

• Review sample size, mean rating, star distribution and one/two-star share.
• Per-version and per-month sample summaries.
• Stability, payments, advertising, account and performance keyword mentions.
• The matching review IDs and the underlying sampled reviews.
• Date coverage, filters and pages checked.

Transparent method

Theme detection uses deterministic English/Turkish keyword rules, without a paid LLM. A mention is not sentiment or a confirmed defect. Negation, spelling variations and other languages may be missed. Each theme includes evidence IDs so you can inspect the underlying text.

Coverage

Up to 10 apps, 500 reviews per app/country and 10 public RSS pages. The source can return fewer. Sort by recent or helpful; optional rating and date filters apply before analysis. Monthly counts and per-version scores describe the filtered sample, not all customer reviews. A genuine empty sample has size zero and null mean/share, not a fabricated rating.

Output, automation and cost control

Results are stored in the default dataset; use JSON to preserve nested arrays, or export CSV/Excel through Apify. RUN-SUMMARY contains counts and source failures. Each row has source and collection time. maxItems caps reports/snapshots, not nested reviews or cohort members. Checkpoints deduplicate resumed work; downstream consumers should also use recordId within a run because dataset/checkpoint writes are not atomic.

Use the Apify API, schedules, Make, n8n or MCP integration. No Appalize key, App Store Connect credentials or external LLM key is needed. Only Apple App Store is supported.

Pricing: $20 per 1,000 successful app/storefront review reports, plus $0.00005 per Actor start (one event per GB, minimum one). Platform usage is included. Each result includes all nested data; failed units have no result charge. Use the live Pricing tab and maximum charge setting before running.

Built by Appalize. Report reproducible issues with a run ID and non-sensitive input in the Actor Issues tab.