Technical Guide
Freight Rate API for E-Commerce Logistics Europe
How to integrate a freight rate API into your European e-commerce platform. Compare REST API, embedded calculators, and webhook quote flows for automated LTL road freight pricing.
Why automate freight rates in e-commerce?
Most European B2B e-commerce platforms still use fixed shipping zones with flat rates — leading to
significant margin erosion on heavy or bulky orders and lost conversions when shipping costs appear
only after checkout. Integrating a live freight rate API solves three problems:
For Spain-origin B2B exporters (manufacturing, distribution, wholesale), automating freight rates
is particularly impactful: your customers span 30+ countries with rate variance of 2–3x between
Portugal and Finland. A flat rate will always lose you money on long-haul lanes or overcharge short-haul buyers.
Integration methods comparison
Step 1 — Calculate LDM from product data
Every freight API request needs total LDM. The formula for non-stackable cargo:
{`LDM = (length_m × width_m × quantity) ÷ 2.4
Examples:
1 EUR pallet (1.2m × 0.8m): LDM = 1.2 × 0.8 × 1 ÷ 2.4 = 0.40
3 EUR pallets: LDM = 1.2 × 0.8 × 3 ÷ 2.4 = 1.20
1 industrial pallet (1.2×1.0): LDM = 1.2 × 1.0 × 1 ÷ 2.4 = 0.50
Stackable goods (×2): LDM = base_LDM ÷ 2`}
In your product catalog, store pallet_type (or dimensions) as a product attribute.
At checkout, sum LDM for all line items. If multiple items ship as separate pallets, sum them individually.
If mixed into fewer pallets, calculate the consolidated LDM.
Step 2 — API request fields
Standard fields for a European LTL rate API request (Transroad REST API format):
Step 3 — Handle the rate response
A typical JSON response from a European LTL rate API includes:
{`{
"status": "success",
"currency": "EUR",
"rates": [
{
"service": "standard",
"rate_min": 198.00,
"rate_max": 238.00,
"transit_days": "3-4",
"includes_fuel": true,
"surcharges": []
},
{
"service": "express",
"rate_min": 238.00,
"rate_max": 285.00,
"transit_days": "2-3",
"includes_fuel": true,
"surcharges": [{"type": "express_handling", "amount": 35}]
}
],
"expires_at": "2026-03-10T23:59:59Z"
}`}
Display the rate_min / rate_max range to the customer (never show a single
point estimate without margin). Use expires_at to invalidate cached rates.
If the API returns no rates (capacity constraint), fall back to a request-a-quote flow.
Platform-specific implementation notes
Caching strategy for high-volume stores
For B2C stores with thousands of daily sessions, calling the freight API live on every page load
creates latency and API cost. Recommended caching strategy:
For B2B platforms where rate accuracy is critical (customers order by confirmed price),
use live API calls with a server-side proxy to avoid CORS issues and hide API credentials.
Frequently Asked Questions
Does Transroad offer a freight rate API for e-commerce integration?
Yes. Transroad provides a REST API and embeddable calculator for automated LTL road freight rate retrieval from Spain to 30+ European countries. Contact our technical team for API credentials and documentation.
What data do I need to send to a freight rate API?
A standard European freight rate API request requires: origin city or postal code, destination country and city, total loading meters (LDM) or pallet count, total weight in kg, stackability flag, and desired service level (economy/standard/express). Some APIs also accept product dimensions per item and calculate LDM server-side.
How do I calculate LDM automatically for e-commerce orders?
In your product catalog, store pallet type (EUR, half, industrial) or dimensions (L×W cm). At checkout, sum all items: LDM = (length_m x width_m x quantity) / 2.4 / stack_factor. For EUR pallets: LDM = quantity x 0.4. Round up to 2 decimal places. Most freight APIs accept LDM directly as input.
What is the difference between a live freight rate and a cached rate?
A live rate calls the freight API in real-time at checkout and reflects current surcharges and capacity. Cached rates are stored daily or hourly and are faster but may be ±5–10% from actual. For high-volume e-commerce, cached rates reduce API calls; for B2B quoting, live rates ensure accuracy.