App Store Scraper
MCP server for App Store and Google Play Store data scraping, providing AI assistants with access to app metadata, reviews, rankings, and ASO (App Store Optimization) insights through integrated scraper libraries. Built using JavaScript with the Model Context Protocol SDK, the implementation leverages app-store-scraper, google-play-scraper, and aso libraries to extract comprehensive app information including developer details, ratings, download counts, version history, and user reviews from both iOS App Store and Google Play Store. The server enables use cases like competitive app analysis, market research, review sentiment analysis, and ASO strategy development by providing programmatic access to mobile app ecosystem data that would otherwise require manual collection or expensive third-party services.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- browser-automation
- Source
- PulseMCP
- Repository
- github.com/appreply-co/mcp-appstore
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve App Store Scraper from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.