App Store Review Intelligence: Aspect Sentiment and Competitor Analysis

Aspect-based sentiment, emerging issues and competitor comparison from App Store reviews, across countries and languages. Self-serve app review intelligence.

Run on Apify - $0.20 / result Use via MCP (free)

Turn App Store reviews into product decisions. Provide one or more iOS App Store app IDs (yours and your competitors') and get aspect-based sentiment, top complaints and praise, emerging issues, and a side-by-side competitor feature-gap comparison, across countries and languages. The analysis layer that product, ASO and growth teams pay for, self-serve.

Run it on Apify

What it does

  • Aspect-based sentiment per topic: stability, performance, UI/UX, price, login, ads, features, support, updates, content.
  • Competitor comparison: analyze multiple apps and see exactly where each is weak or strong, aspect by aspect.
  • Emerging issues: flags aspects whose sentiment is dropping in recent reviews.
  • Real review quotes per top complaint, plus the App Store link.
  • Multi-country and multi-language: sentiment is derived from star ratings, so it works in any language.

Who uses app review intelligence

  • App developers and product managers prioritizing the roadmap.
  • ASO and growth teams understanding user complaints and competitor gaps.
  • Competitive-intelligence analysts, including on apps they do not own.

A self-serve, pay-per-use alternative to Appbot, AppFollow, Appfigures and Sensor Tower ($49-$599 per month).

How it works

The tool reads the official Apple App Store customer-reviews RSS feed (free, public, no login). Sentiment per aspect is the average star rating of reviews mentioning that aspect, which is language-agnostic.

Example

Spotify (4.0 stars) versus YouTube Music (2.1 stars), per aspect: price/billing 3.71 vs 1.53, ads 3.98 vs 2.02, UI/UX 4.29 vs 1.96.

Use with AI agents and automation

This runs as an Apify Actor, so it drops into your stack with no scraping or glue code: - AI agents and LLMs: call it as a live tool from LangChain, LlamaIndex or Flowise, or over MCP, to give an agent on-demand App Store review-sentiment data. - No-code automation: wire it to Zapier or Make (emerging issue or sentiment drop → Slack or Jira). - Webhooks and pipelines: fire a webhook on each run to push results into your database, or chain it into another DataSignals Lab product. - API and schedule: JSON output, on demand or on a daily schedule. No subscription, no sales call.

FAQ

Can I analyze competitors?

Yes, any app by its App Store ID, including apps you do not own.

Which languages?

Any. Pull reviews from multiple App Store countries; sentiment uses star ratings.