How to Build a Scholarship Finder with Web Scraping

Finding scholarships is tedious — students spend hours browsing dozens of websites. What if you could automate that? In this tutorial, we'll build a Python scholarship finder that scrapes multiple scholarship databases and aggregates results. The Problem Scholarship information is scattered across hundreds of websites: Fastweb, Scholarships.com, university portals, and government databases. Each has different formats, search interfaces, and update schedules. A scraper can check them all in minutes. Architecture Overview Our scholarship finder will: Scrape multiple scholarship listing sites Extract key details (name, amount, deadline, eligibility) Filter by criteria (field of study, GPA, location) Store results in a structured format Send email alerts for new matches Setting Up pip install requests beautifulsoup4 pandas schedule Building the Scraper Let's start with a base scraper class that handles common patterns: import requests from bs4 import BeautifulSoup from dataclasses import d