What approach I should take to extract number entity from dataset

I have the training, validation, and test dataset. The first column has store data and the second column has store numbers. I need to develop an entity extractor model which can extract store numbers from the first column. I tried searching about entity extractor models like SpaCy and Stanford NER package but did not quite understand how to implement them in this scenario.

As you can see above, a store number is not always numeric data, but what I found out is that it always comes after the store name. If someone could share a reference link for this or any suggestions, please. Thanks in advance!

Topic spacy nlp python machine-learning

Category Data Science

About

Geeks Mental is a community that publishes articles and tutorials about Web, Android, Data Science, new techniques and Linux security.