如何通过谷歌学术搜索生成基于关键字的列表？

Question

I want to generate lists that constantly update with the latest scientific publications from scholar.google.com. I have some terms that have to be constantly crawled and once those keywords are found in any new publication, it has to be added to the list.

How do I develop such an algorithm without the need to have NLP knowledge? Which libraries should be used?

I am rather new to programming with Python and I am looking for a simple approach to address this issue. Many thanks for any input.

Answer 1

I would use an API like SerpApi Google Scholar API , and use requests to request data from that API. There are already many guides on the internet about how to use requests.