How to Build a Grant Writing Assistant with Scraped Foundation Data

Grant writing is time-consuming, but much of the work is research: finding relevant foundations, understanding their priorities, and matching your project to their criteria. Let's automate the research part by scraping foundation databases. The Problem with Grant Research There are over 100,000 grant-making foundations in the US alone. Manually searching each one's website for funding opportunities takes hundreds of hours. By scraping foundation databases, we can build a system that matches your project to relevant funders automatically. Data Sources Key databases to scrape: Foundation Directory Online (Candid/GuideStar) Grants.gov (federal grants) State arts/humanities councils University grant portals Setting Up pip install requests beautifulsoup4 pandas scikit-learn Using ScraperAPI for reliable access to foundation websites: import requests from bs4 import BeautifulSoup import json SCRAPER_KEY = " YOUR_SCRAPERAPI_KEY " def fetch ( url ): """ Fetch page with ScraperAPI. """ return r