Scraping Regulatory Filings: SEC EDGAR, FDA, and EPA Data

Scraping Regulatory Filings: SEC EDGAR, FDA, and EPA Data Government regulatory data is a goldmine for investors, researchers, and compliance teams. SEC filings reveal corporate financials, FDA submissions track drug approvals, and EPA records expose environmental violations. Here's how to scrape all three systematically with Python. Why Scrape Regulatory Data? These databases are public but painful to navigate manually. SEC EDGAR alone contains over 20 million filings. Automated scraping lets you monitor new filings in real time, extract structured data from unstructured documents, and build analytical pipelines. SEC EDGAR: Corporate Filings SEC EDGAR provides free access to all public company filings. Their API has generous rate limits (10 requests per second with proper User-Agent headers). import requests import time class SECEdgarScraper : BASE_URL = " https://efts.sec.gov/LATEST " HEADERS = { " User-Agent " : " CompanyName admin@company.com " , " Accept-Encoding " : " gzip, defla