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Scraping Shipping Container Tracking: Maersk, MSC, and CMA CGM with Python

Scraping Shipping Container Tracking: Maersk, MSC, and CMA CGM with Python

via Dev.to Pythonagenthustler

Global shipping container tracking is a massive data problem. Shippers, freight forwarders, and supply chain analysts need real-time visibility across multiple carriers. The big three (Maersk, MSC, CMA CGM) each have their own tracking portals, but no unified API. Let's build a multi-carrier container tracker with Python. Why Container Tracking Data? Freight forwarders manage shipments across multiple carriers simultaneously Supply chain teams need ETAs to plan warehouse receiving Trade analysts track global shipping patterns and port congestion E-commerce businesses want accurate delivery estimates Setting Up pip install requests beautifulsoup4 pandas The Multi-Carrier Tracker import requests from bs4 import BeautifulSoup from datetime import datetime from dataclasses import dataclass import time SCRAPER_API_KEY = " YOUR_KEY " @dataclass class ContainerEvent : timestamp : str location : str status : str vessel : str = "" @dataclass class ContainerTracking : container_id : str carrier

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