Platform · US stations

US Fuel Station Price Data

There is no national US pump price feed. The federal series is a weekly survey, by region.

The United States has no official station-level price feed. The federal energy agency runs a weekly retail survey collected on Mondays and released the same afternoon, covering the national average, refining districts, and a selected set of states and cities by grade — useful context, never a forecourt price. The familiar daily national averages are commercial and licensed, so they are not redistributed. Site-level US data therefore comes from observation. Records sit at site level with brand and operator as separate keys and an observed_at stamp on every row, nothing behind a login or an exchange licence is collected, and a site that disappears is confirmed across runs before it is called a closure.

Weekly regional data cannot answer a question about three sites on one arterial road.

Get a free sample See sample data

Free pilot on your own US stations list, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

us_stations_sample.jsonl LIVE FEED

{"series_level":"site","price_cash":3.29,"price_credit":3.39,"fuel_grade":"regular"} {"series_level":"state","survey_week":"2026-W38","price":3.41} {"price_loyalty":3.19,"observed_at":"2026-09-23T14:05Z"}

illustrative sample rows · USlevels do not mix · schema v1.0

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to US stations or its owners. US stations 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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US stations at a glance

How we handle US stations specifically

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

Official feed: None at station level
Federal survey: Weekly, collected Mondays
Granularity: National, districts, selected states and cities
Grades: Regular, midgrade, premium, diesel
Commercial sets: Licensed; not republished
Site prices: Observed, with timestamps
Coverage: Scoped by corridor or metro
Refresh: Twice daily standard, hourly available

Platform specifics

Survey context, site observation

These are the reasons a US stations dataset needs its own handling rather than a shared retail schema.

Source separation

Federal series are reference data. Mixing them into a site table produces a column where some rows describe a state and others describe a forecourt.

series_level — national, district, state, city, site.
survey_week on federal records.
observed_at at intraday resolution on site records.
licence_status making the commercial boundary explicit.

Loyalty pricing, and what we do not do

Loyalty pricing

Cash, credit and loyalty prices are frequently different at the same pump, and each is stored as its own field where the site displays it. See our Australia page.

Site level

Every figure stays attached to its site and its observation time rather than being rolled into an area average, as the fuel and energy hub describes.

What we do not do

Republish a licensed price service, present survey data as site prices, use an account to reveal member pricing, or collect anything behind a login.

Scope

What we collect on US stations, 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

Series level on every record
Survey and site data kept apart
Cash, credit and loyalty prices separated
Licensed sets excluded
Intraday timestamps on site records
Brand and operator as separate keys
Corridor and catchment geocoding
State taxes noted, not modelled silently
Twice-daily refresh

❌ What we do not, and why

Licensed sets republished
Survey data as site prices
Accounts for member pricing
Blended cash and credit prices
National averages as deliverable

Core US stations fields

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

Field	What it is on this platform
site_id	Stable identifier
brand / operator	Two keys
lat / lon / address	Geocoded
fuel_grade	Normalised, native label kept
price_cash / price_credit	Where displayed
price_loyalty	Where displayed publicly
series_level	national to site
survey_week	Federal records
observed_at	Intraday
vs_local_avg	Within a set radius
source	Per record

Use cases

What teams do with US stations data

Corridor pricing

Interstate exits and their spreads.

Catchment position

Site against its own radius.

Format analysis

Travel centres against local sites.

Move detection

First movers in a metro.

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

Send us a US stations 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.

US stations is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. US stations 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 fuel & energy data covers, and a US stations-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

US stations data scraping: frequently asked questions

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

No. The federal survey is weekly and regional at best.

Not for redistribution. Those series are commercial and licensed.

Yes, and loyalty too where the site displays it.

Twice daily as standard, hourly on the premium tier.

Coverage is scoped, usually by corridor or metro rather than nationally.

It depends on sites, metros and refresh.

Talk to us.

See real US stations 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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