How to Build a Supply Chain Visibility Tool with Web Scraping

How to Build a Supply Chain Visibility Tool with Web Scraping Supply chain disruptions cost businesses billions. Real-time visibility into shipping, inventory signals, and supplier status means the difference between a minor delay and a major crisis. What We'll Track Port congestion and shipping delays Supplier website changes (stock status, lead times) Commodity price movements Logistics provider status pages Setup import requests from bs4 import BeautifulSoup import json import hashlib from datetime import datetime PROXY_URL = " https://api.scraperapi.com " API_KEY = " YOUR_SCRAPERAPI_KEY " Shipping and logistics sites vary globally. ScraperAPI provides geo-targeted requests for international supply chain data. Monitoring Port Congestion def scrape_port_status ( port_url ): params = { " api_key " : API_KEY , " url " : port_url , " render " : " true " } response = requests . get ( PROXY_URL , params = params ) soup = BeautifulSoup ( response . text , " html.parser " ) vessels = [] for