Study Competitor App Reviews to Find Weak Spots, Using AI to Sort Complaints

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The article describes a method for product research by exporting low-star App Store and Google Play reviews of existing apps into a single file. It explains how to use a scraper tool on Apify, which the author built, to gather reviews from both stores with consistent fields. Filtering to ratings of three or below and sorting by helpfulness votes narrows the data to a manageable set. The author then suggests feeding this file to an AI model to group complaints into themes, rank them, and surface feature requests. The piece notes store limits, such as Apple sharing only the latest 500 reviews per country and sort order.

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