I can't imagine data scraping is something companies will quickly admit to, considering the legal issues involved. It was also the norm for a long time -- APIs for accessing user generated data is a relatively new thing.
As for a concrete example: companies using chatGPT. A lot of useful data comes from scraping sites that don't offer an API.
Maybe you've got a small company involved in toy buying and reselling, and they want to scrape toy postings from ebay etc. so that they can scroll through a database of different postings and sort it by price or estimated profit or whatever.
There's a ton of money to be made from scraping, consolidating, and organizing publicly accessible data. A company I worked for did it with health insurance policy data because every insurance company has a different website with a different data format and data that updates every day. People will pay da big bux for someone to wrap all that messiness into a neat, consistent package. Many sites even gave us explicit permission to scrape because they didn't want to set up an api or find some way to send us files.
Right now, gathering machine learning data is hot, cause you need a lot of it to train a model. Companies may specialize in getting, say, social media posts from all kinds of sites and putting them together in a consistent format.
Most clear example is these apps that get you the best deals on hotels or flights, they compare prices by web scrapping. Obviously they take a cut in these transactions.