thanks for illustrating the issue in your post!
The main purpose of my function GScholarScraper is to retrieve titles – just because this is the best we can get from Google Scholar. Abstracts are truncated and thus shouldn’t be used for meta-analysis. Also titles are truncated, as you said, and there is no way around. Though, this is not as often and severe as with abstracts, i.e.
The CSV is optional, the df with word frequencies and the word cloud are always returned – for any other output one can easily add some appropriate lines to the script.
My function is good for a quick summary and illustration of a query-result.
Tony’s function is evidently better if you want to pull all fields of a given query (authors, titles, abstracts,..)
I wonder if people came across ROpenSci? I guess that might be very interesting in this context!
Last remark: Of course, a Google Scholar API would resolve all our problems in this regard..