I Was Scraping Google Scholar at 2am. There Had to Be a Better Way.

📰 Dev.to AI

Learn how to efficiently collect academic data without scraping Google Scholar, and discover a better way to build a RAG pipeline

intermediate Published 22 May 2026
Action Steps
  1. Identify the limitations of web scraping for academic data collection
  2. Explore alternative APIs and data sources for academic data
  3. Configure a RAG pipeline using a more reliable data source
  4. Test and refine the pipeline to ensure accuracy and efficiency
  5. Apply the new approach to future data collection tasks to save time and resources
Who Needs to Know This

Data scientists and researchers can benefit from this approach to streamline their data collection process, while software engineers can learn how to build more efficient pipelines

Key Insight

💡 Using alternative APIs and data sources can simplify academic data collection and improve the efficiency of RAG pipelines

Share This
💡 Ditch the scraper! Discover a better way to collect academic data and build a RAG pipeline #datascience #research
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