AppReviewTool

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Most App Store review scrapers eventually break because they rely on basic RSS feeds that get blocked by rate limits. I built ASO Intelligence to solve this exact problem by focusing on data stability and automation.The backend does not use a standard feed. Instead, it utilizes a headless browser proxy (ScraperAPI) to reliably extract raw review data from global storefronts (US, UK, TR, etc.) without triggering anti-bot measures. This raw data is then routed via Make.com directly into Gemini 2.5 Flash for natural language processing.The system is prompted to digest hundreds of reviews and output three specific metrics for product managers:Critical bug reports and technical failuresFeature requests and missing toolsUser sentiment regarding pricing and subscription modelsFrom a financial perspective, the architecture is highly optimized. It operates entirely on generous free tiers (ScraperAPI provides 5,000 free requests/month, and Gemini handles the NLP without cost). Your monthly server and API burn rate is literally $0.I am selling this project because my wife and I are expecting a baby boy (Arın) very soon. I am clearing out my technical side projects to free up my schedule and focus entirely on my family. While automated tools estimate the value around $1,150, I have priced it at $500 for a quick, straightforward handover.What you get with the acquisition:The complete Make.com blueprints (.json files)The tested AI prompt structuresA handover guide for plugging in your own API keysThe system is plug-and-play. If you understand basic automation, you can take this over and start using or monetizing it on day one.