App store ranking data with review sentiment
The App Store Rankings and Reviews dataset tracks app rank, rating, review volume, and sentiment across iOS and Android in a structured table, sourced from public store pages and refreshed on the schedule you set.
Why work with App Store Rankings?
Rank and reputation together
See category rank alongside rating and review sentiment so you read performance in one view.
Watch the leaderboard move
Change detection logs rank and rating shifts so you catch competitors climbing or slipping.
Understand what users feel
AI operations score recent reviews so you see whether momentum is positive or turning.
Powering App Store Rankings
AI-powered web gathering
Describe a column or dataset and ClickSet backfills it from public web sources, with no scraper scripts to maintain.
AI operations
Score, classify, extract, summarize, cluster, or detect anomalies and sentiment across rows.
Change detection
Monitor sources and log diffs into versioned tables.
Scheduled refresh
Hourly, daily, or weekly re-runs that keep data current.
API access
Every dataset is a live REST endpoint with per-key spend caps.
Who uses this?
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Frequently asked questions
Where does the data come from? +
Public app store category and product pages, gathered in research mode with a source on each row.
Can I track both platforms? +
Yes. Name the apps or category and ClickSet tracks iOS and Android as separate rows.
How often does it refresh? +
On your schedule. A daily refresh keeps ranks and sentiment current as stores update.
Further reading
See how ClickSet handles your data workload
Describe the dataset you need, enrich it with hundreds of LLMs, and query the result through one API. Start on the free plan.