explore-app-store

Turn a plain-English goal ("find 2026 apps making $10-30k I could clone", "map the hair-loss niche", "what's big in Turkey but missing in the US") into ranked opportunities backed by real revenue/download estimates, screenshots, and App Store links.

All scripts are pure Python stdlib — no dependencies, no API keys. Run them with python3. Every revenue/download number comes from Sensor Tower and is an estimate, coarsely bucketed (<$5k, $10k, $30k, $90k, ...). Present them as relative signal.

Data sources (all public, no auth)

• iTunes Search — keyword discovery
• iTunes Lookup — details by app id / bundleId / developer portfolio (artistId)
• iTunes RSS charts — top free / paid / grossing per country + genre
• Sensor Tower app API — est. worldwide last-month downloads + revenue, publisher, top_countries / valid_countries, screenshots (iOS and Android). Rate-limited (HTTP 429 after ~180 ids) → scripts batch + backoff + cache automatically.

Workflow — how to drive this skill