How to Scrape Google Scholar at Scale: Papers, Citations & Author Data

Google Scholar is a goldmine for researchers, analysts, and anyone tracking academic publications. There's just one problem — there's no official API , and Google actively blocks scraping attempts. I spent weeks building a production-grade Google Scholar scraper that handles all of this. Here's how it works and how you can use it. The Problem If you've ever tried scraping Google Scholar, you know the pain: CAPTCHAs after a handful of requests IP bans that last hours or days Rate limiting that makes bulk collection impossible Dynamic rendering that breaks simple HTTP scrapers Google doesn't want you programmatically accessing Scholar data. But researchers, competitive intelligence teams, and data scientists need this data. The Solution: A Production Scraper with Anti-Bot Handling I built the Google Scholar Scraper on Apify's platform. It uses headless browsers with fingerprint rotation, automatic proxy management, and retry logic to reliably extract Scholar data at scale. What It Extrac