AI-Powered Data Collection Tool - CTV App Store Research

We're a software development company building an internal AI research tool that automates collection of public app metadata from two CTV platforms (Entertainment and Sports categories only). This is a short-term project: first a working prototype, then a full run. What the tool should do: * Collect public app listing metadata from two CTV app stores * Output a clean .xlsx file (UTF-8), one tab per platform * One row per app, fixed column headers Required fields per app: Platform, App Name, Publisher / Developer, Category, Description, Last Update Date, Store URL, Rating & Rating Count (if available) Acceptance Criteria: * Deduplicated by store App ID * Blank values for missing data (no placeholders) * Valid Store URL on every row * Brief README: architecture overview, which storefront/region is targeted, how the tool handles pagination and missing fields Workflow: 1. Prototype / test run - 1 category across both platforms. We verify output quality and that Last Update Date is captured. 2. Full run unlocked on approval. Who we're looking for: * Experience building data collection tools or pipelines * Familiarity with CTV / streaming platform ecosystems is a plus * Clean output structure; attention to data normalization To apply: share examples of similar tools you've built and describe your approach to handling platform-specific catalog structure and regional catalog differences.