for page in range(1, pages+1): url = f"{base_url}{query}/?page={page}" print(f"Scraping: {url}")
try: response = requests.get(url, headers=HEADERS) soup = BeautifulSoup(response.text, "html.parser") docsity finder scraper
Now go study for that exam—ethically. Have you built a scraper for educational content? Let us know in the comments below. for page in range(1, pages+1): url = f"{base_url}{query}/
def scrape_docsity_search(query, pages=2): base_url = "https://www.docsity.com/en/search/" results = [] What if you want to analyze trends in
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?
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.
