Scraping Subsidy and Government Grant Databases

Scraping Subsidy and Government Grant Databases Government subsidies and grants represent billions in funding, but finding relevant opportunities means navigating dozens of fragmented databases. Let's build a scraper that aggregates grant data into a searchable pipeline. Key Data Sources grants.gov — US federal grants (API available) USAspending.gov — Federal spending data (API) EU Open Data Portal — European funding State-level portals — Vary by state Setting Up pip install requests beautifulsoup4 pandas schedule Grants.gov API import requests GRANTS_URL = " https://apply07.grants.gov/grantsws/rest/opportunities/search/ " def search_grants ( keyword , page = 1 ): payload = { " keyword " : keyword , " oppStatuses " : " forecasted|posted " , " rows " : 25 , " startRecord " : ( page - 1 ) * 25 } resp = requests . post ( GRANTS_URL , json = payload , headers = { " Content-Type " : " application/json " }) data = resp . json () opportunities = [] for opp in data . get ( " oppHits " , []): o