Scraping Cybersecurity Vulnerability Databases: NVD and CVE

Staying on top of vulnerabilities is critical for security teams. Here's how to scrape and analyze NVD and CVE vulnerability data programmatically. Why Scrape Vulnerability Databases? Security teams need to track new CVEs affecting their stack, analyze trends, build custom dashboards, and correlate vulnerabilities with infrastructure. Setup import requests import pandas as pd from datetime import datetime , timedelta import time SCRAPER_KEY = " YOUR_SCRAPERAPI_KEY " Using the NVD API def search_nvd ( keyword , days_back = 30 ): start_date = ( datetime . now () - timedelta ( days = days_back )). strftime ( " %Y-%m-%dT00:00:00.000 " ) end_date = datetime . now (). strftime ( " %Y-%m-%dT23:59:59.999 " ) url = " https://services.nvd.nist.gov/rest/json/cves/2.0 " params = { " keywordSearch " : keyword , " pubStartDate " : start_date , " pubEndDate " : end_date , " resultsPerPage " : 100 } resp = requests . get ( url , params = params , timeout = 30 ) if resp . status_code != 200 : return pd