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Decoding the StopIteration Error: Innovative Approaches to Harnessing Google Scholar Data for Academic Profiling

Decoding the StopIteration Error: Innovative Approaches to Harnessing Google Scholar Data for Academic Profiling

The paper "Decoding the StopIteration Error: Innovative Approaches to Harnessing Google Scholar Data for Academic Profiling" explores the Python scholarly package and its error when extracting data from Google Scholar. This error, the StopIteration, halts data extraction when it exhausts all elements in a list of professor's names. This issue is tied to the scholarly package being only able to handle the first name. The paper offers three solutions. The first modifies the code to manage the StopIteration error using Python's next() function with None as a default value. The second approach suggests storing data for each professor in a list using direct iteration over search_query results. The last solution proposes using external APIs like the Google Scholar Profiles API from SerpApi for enhanced functionality and scalability. Each solution provides a unique method to bypass the StopIteration error.

Full article here: https://ipllfirm.com/all-insights/news-and-articles/decoding-the-stopiteration-error-innovative-approaches-to-harnessing-google-scholar-data-for-academic-profiling/