April 14, 2026 Every student has been there: You have a midterm tomorrow, the textbook is 800 pages long, and you need concise lecture notes—fast. Docsity is a goldmine for that content. But what if you don't want to click through 50 search pages? What if you want to analyze trends in exam difficulty across different universities?
requests , beautifulsoup4 , time .
return results if == " main ": docs = scrape_docsity_search("calculus+1", pages=1) for d in docs: print(f"- {d['title']}: {d['url']}") docsity finder scraper
Inside the Docsity Finder Scraper: Automating Access to Student Notes April 14, 2026 Every student has been there:
import requests from bs4 import BeautifulSoup import time HEADERS = { "User-Agent": "Mozilla/5.0 (Education Purposes)" } What if you want to analyze trends in
except Exception as e: print(f"Error on page {page}: {e}")
Curious about how a Docsity scraper works? We break down the use case, the ethical boundaries, and a simple Python script to extract document metadata.