Dataforseo Appstore

Live Apple App Store data — which apps rank for a keyword, full app details (ratings, price, developer, description, screenshots), user reviews, and top-chart rankings — from DataForSEO's Apple App Data API. Use this whenever the user wants App Store / iOS competitive or ASO research: what apps show up for an App Store search, how a competitor app is rated and reviewed, what users actually say in the reviews, which apps top a category chart, or the full metadata for a specific app by name/id/URL. Trigger on "app store", "ASO", "app store keyword/search", "competitor apps", "reviews of <app>", "how is <app> rated", "top free/paid/grossing apps", "app store rankings", "what does <app> look like on the store", "find iOS apps like X", or any request to ground App Store / iOS-app decisions in real store data instead of guesses. This is App Store data (iOS apps) — distinct from the sibling `dataforseo-keywords` skill, which is Google Ads web search volume. Prefer this over web search whenever the user wants real App Store rankings, ratings, reviews, or app metadata. Opinionated defaults (override when the task calls for it): reach for `search` to see who you're up against for a term, `reviews --sort-by most_recent` to mine live voice-of-customer (the single highest-signal move for a competitor), `info` for a one-app teardown, `list` for category charts, and the live `listings` only when you need DB-style filtering — it's the one pricey call (~$0.10 vs fractions of a cent).

mkdir -p ~/.claude/skills/dataforseo-appstore
curl -L https://claudskills.com/skills/dataforseo-appstore/SKILL.md \
  -o ~/.claude/skills/dataforseo-appstore/SKILL.md

@misc{dataforseo-appstore-2026,
  author    = {samsam32118},
  title     = {Dataforseo Appstore [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/dataforseo-appstore/}
}