Bottlenecked by the effort of collecting data and the cost of storing it on tiny 20th century hard drives, last century’s datasets tended to be small. It was hard to scrape together enough data for even a single respectable dataset, which meant that data-splitting was rarely an option. This forced professionals into a choice between two dramatically different mindsets.
Source : https://towardsdatascience.com/can-analysts-and-statisticians-get-along-5c9a65c8d056
What does "scrape" mean in this context? There are many definition of it.