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A Python script that searches Google Scholar for specific keywords and visually presents the results in various chart formats, enabling researchers to analyze trends and insights in academic literature.
This project is aimed at scraping the data of university professors from Google Scholar, including their citation count, h-index, and other relevant information. The scraped data will be stored in a CSV file for further analysis.
PubMed scraper for async search on a list of keywords and concurrent extraction of all found URLs, returning a DataFrame/CSV containing all article data (title, abstract, authors, affiliations, etc)