Web scraping Google Scholar profiles using Python often leads to a StopIteration error. This error occurs when an iterator, a loopable object, no longer has items to loop over. It specifically arises when the
next() method is invoked on an empty iterator while scraping profiles via the scholarly.pprint() function. To overcome this error, one can directly iterate through the search_query, negating the need for
next(). This can be achieved by converting search_query to a list with
list(search_query), which handles StopIteration internally. Another solution is adding a default value to
next(), which returns upon the StopIteration error, preventing script interruption. These methods solve the StopIteration issue and allow smoother traversal of Google Scholar profile data.
Full article here: https://lawsuithelpdesk.com/decoding-the-stopiteration-error-an-insiders-guide-to-web-scraping-google-scholar-profiles-with-python/