Among other purposes, web scraping is used for collecting custom datasets for machine learning tasks, mostly for model training.
There are a lot of ready-to-use datasets you can download or buy from the web. But quite often, data scientists need to collect custom data for their machine learning projects.
The first reason is that data gets outdated very quickly, and datasets should be used just after they are created. The second reason is that machine learning projects require specificity. Despite millions of existing datasets you can find on Kaggle or Google, it’s still very difficult to find exactly what you need.
It is far simpler to order data from a reliable data pipeline than to spend hundreds paying data scientists to collect and prepare datasets manually.
Another important thing is the development of a data pipeline to set continuous data feed. As training machine algorithms is often an incessant process, reliable data delivery on a regular basis is necessary.
At DataOx, we build data pipelines with quality assurance and data cleansing at each stage.