How to Build a Supply Chain Disruption Early Warning System

Supply chain disruptions cost businesses billions. Port closures, factory shutdowns, shipping delays — early detection means early response. Here's how to build an automated monitoring system that scrapes supply chain signals from public sources. Data Sources for Supply Chain Intelligence Maritime tracking : Port congestion data, vessel positions News monitoring : Factory closures, labor strikes, natural disasters Government data : Import/export statistics, trade restrictions Social media : On-the-ground reports from logistics workers Setting Up Multi-Source Scraping import requests from bs4 import BeautifulSoup from datetime import datetime import json import re API_KEY = " YOUR_SCRAPERAPI_KEY " class SupplyChainMonitor : def __init__ ( self , api_key ): self . api_key = api_key self . alerts = [] def scrape ( self , url , render = False ): params = { " api_key " : self . api_key , " url " : url , " render " : " true " if render else " false " } resp = requests . get ( " https://api.s