Platform · Rail freight published rates

Rail Freight Rate Data

A rail fuel surcharge follows an index with a lag. Record the index and the lag, and the surcharge becomes predictable.

Rail freight rate data covers published railroad tariffs, fuel surcharge programmes — Union Pacific publishes programmes linked to highway diesel and to crude oil prices — and track access charges, such as Network Rail's freight price lists, updated for inflation each March. Each surcharge is recorded with its index and lag. Mergers under regulatory review, such as Union Pacific and Norfolk Southern, are dated events, with no outcome assumed. Every figure carries its rate type and a source reference, surcharges stay separate line items, and no contracted rate, booking portal or quote request is ever used.

A surcharge rule is more useful than a surcharge level. The rule tells you the next level.

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rail_rates_sample.jsonl LIVE FEED

{"programme":"as published","index":"EIA highway diesel","lag":"as stated"} {"surcharge_level":21,"unit":"percent","effective_from":"2026-10-01"} {"regulatory_event":"procedural schedule set","event_date":"2026-08-18"}

illustrative sample rows · railroad publicationsthe rule behind the level · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Rail freight published rates or its owners. Rail freight published rates and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

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Rail freight published rates at a glance

How we handle Rail freight published rates specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Source: Railroad tariffs and surcharge programmes
Fuel: Index-linked: diesel or crude, as named
So: index, lag and table per programme
Access charges: Network Rail CP7 price lists, CPI each March
Mergers: UP–NS under STB review; final decision due by Aug 2027
Events: Regulatory steps dated
rate_type: published_tariff
Refresh: Weekly; monthly for surcharges

Platform specifics

The rule behind the level

These are the reasons a Rail freight published rates dataset needs its own handling rather than a shared retail schema.

Programmes and tables

Railroads publish fuel surcharge tables that set a percentage or per-mile amount from an average fuel price over a reference period.

programme, index, reference_period and lag as stated.
surcharge_level per period, with effective dates.
tariff_rate by origin, destination, commodity and car type, where public.
access_charge per train-km or tonne-km, by price list and year.

Reviews, and what we do not do

Reviews

The STB accepted the UP–NS application in May 2026 and set a schedule with a final decision by August 2027. Steps are recorded as dated events. See our government notice page.

Rate types

Rate types are never blended into one series, as the logistics hub describes.

What we do not do

Access customer portals or logged-in tariff detail, collect confidential contract rates, predict regulatory outcomes, or request quotes.

Scope

What we collect on Rail freight published rates, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

Programme, index, reference period and lag
Surcharge levels per period
Public tariff rates by lane and commodity
Access charges by price list and year
Regulatory steps as dated events
No outcome assumed
Logged-in content excluded
source_ref on every figure
Weekly refresh

❌ What we do not, and why

Customer portals or logged-in tariffs
Confidential contract rates
Regulatory outcomes predicted
Quote requests
Personal data

Core Rail freight published rates fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
railroad / programme	As published
index / reference_period / lag	As stated
surcharge_level / unit	Percent or per mile
effective_from / effective_to	Dates
origin / destination / commodity	Where public
car_type	As published
tariff_rate / currency	As published
access_charge / price_list_year	Infrastructure managers
regulatory_event / event_date	Dated
source_ref	Document
observed_at	Timestamp

Use cases

What teams do with Rail freight published rates data

Fuel surcharge forecasting

From the published rule and index.

Modal comparison

Rail against road on published costs.

Access cost tracking

Price lists by year.

Regulatory monitoring

Merger reviews, dated.

The 24-hour sample — run on your sources, not ours

Send us a Rail freight published rates item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Rail freight published rates is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Rail freight published rates data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what logistics & freight data covers, and a Rail freight published rates-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Rail freight published rates data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

By published programmes that link them to a fuel index over a reference period. We record the rule.

No.

It is under STB review, with a final decision due by August 2027. We record steps as events.

No.

Access charges and public tariffs where published.

It depends on railroads and sources.

Talk to us.

See real Rail freight published rates data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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