How to Scrape FDA Warning Letters and Enforcement Records with Python

The FDA publishes thousands of warning letters and enforcement actions. Scraping and analyzing this data reveals compliance trends, common violations, and which industries face the most scrutiny. Why FDA Data Matters FDA warning letters are public records that signal regulatory trends. Pharmaceutical companies, food manufacturers, and supplement brands monitor these to avoid compliance pitfalls. Investors use them to assess risk. Scraping the FDA Warning Letters Database import requests from bs4 import BeautifulSoup import pandas as pd API_KEY = " YOUR_SCRAPERAPI_KEY " # Get one at https://www.scraperapi.com?fp_ref=the52 def scrape_fda_warnings ( page = 1 ): url = f " https://www.fda.gov/inspections-compliance-enforcement-and-criminal-investigations/compliance-actions-and-activities/warning-letters?page= { page } " proxy_url = f " http://api.scraperapi.com?api_key= { API_KEY } &url= { url } " response = requests . get ( proxy_url , timeout = 60 ) soup = BeautifulSoup ( response . text