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Collected as a part of a larger effort to build a recommender system for organizations looking to optimize their SaaS stack. This cleaned subset represents about 25% of the total raw set. The raw set (coming soon) also includes information such as reviews, overall ratings, application category (accounting, project management, VoIP, etc.), and top ten alternatives for each.
The app names and descriptions were collected using selenium and a headless chrome driver and the site URL's were obtained using a private metasearch engine: (https://github.com/searxng/searxng) attached to a local llama 7b: (https://github.com/ollama/ollama).
Full raw set (and maybe the metasearch enabled llm data collection script) coming soon.
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