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How to Build a Shipping Rate Aggregator with Carrier API Scraping

How to Build a Shipping Rate Aggregator with Carrier API Scraping

via Dev.to Tutorialagenthustler

Shipping costs can vary wildly between carriers. Building a rate aggregator that scrapes UPS, FedEx, USPS, and DHL pricing pages helps e-commerce sellers find the cheapest option instantly. In this guide, we'll build one with Python. Why Aggregate Shipping Rates? E-commerce businesses lose thousands annually by defaulting to a single carrier. A rate aggregator compares real-time prices across carriers for every shipment, automatically selecting the cheapest option by weight, dimensions, and destination. Architecture Overview Our aggregator has three components: Rate scrapers for each carrier's public rate calculator A normalization layer to standardize pricing formats A comparison API that returns the best rate Setting Up the Scraper First, install dependencies: pip install requests beautifulsoup4 pandas We'll use ScraperAPI to handle JavaScript rendering and anti-bot protections on carrier websites: import requests from bs4 import BeautifulSoup import json SCRAPER_API_KEY = " YOUR_SCR

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