datacollectionspecialist/How-to-Scrape-Google-Scholar
In this article, we will introduce two methods for crawling Google Scholar data: manual crawling (Scrapy/Selenium) and Scrapeless API.
This project helps academic researchers, data analysts, and librarians efficiently gather structured academic data from Google Scholar. It takes search queries or specific criteria (like author names or topics) and outputs detailed, organized information about research papers, citations, author profiles, and more in a ready-to-use format. This is for anyone who needs to collect large volumes of academic information for literature reviews, impact analysis, or data-driven research.
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Use this if you need to reliably collect large-scale, structured data from Google Scholar for academic research, analysis, or automated literature reviews without dealing with IP blocks or CAPTCHAs.
Not ideal if you only need to collect a very small amount of data occasionally and prefer a manual, simple copy-paste approach.
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Feb 26, 2025
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curl "https://pt-edge.onrender.com/api/v1/quality/perception/datacollectionspecialist/How-to-Scrape-Google-Scholar"
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