Possibly a mix between use cases, maintainability and economics. We used to scrape economic indicators data at a fintech startup and monetized it - every slight

Possibly a mix between use cases, maintainability and economics. We used to scrape economic indicators data at a fintech startup and monetized it - every slight change to the website created an issue to the data feeds. It was a huge nightmare to maintain. Scraping any website is quite generic and doesn't really speak to a specific audience on a specific need. But more importantly, having been in the data and analytics industry for years, data has far lower margins than insights and recommendations. The market is willing to pay a crazy premium (look at how much all the consultants are being billed out for) to get insights and recommendations. Data itself isn't inherently valuable to most companies.