Platform · TotalEnergies

TotalEnergies Station Data

A motorway site and a town site under the same brand are not comparable, and the gap is structural.

TotalEnergies runs one of the densest European forecourt networks, and its most useful analytical split is site class: motorway concession sites operate under concession economics with captive demand, while town and out-of-town sites compete with local grocers. The group also runs unmanned and truck-focused formats under their own names. Where the national feed omits brand, the brand comes from a maintained join, versioned like any other asset. 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.

Comparing a motorway price with a hypermarket price and calling the difference a margin is a category error.

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total_stations_sample.jsonl LIVE FEED

{"site_class":"motorway","concession_flag":true,"price":1.949} {"site_class":"urban","concession_flag":false,"price":1.709} {"peer_group":"urban within 10 km","brand_join_version":"2026-09"}

illustrative sample rows · EUclass before comparison · schema v1.0

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

How we handle TotalEnergies specifically

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

Network: Dense European estate
Key split: Motorway concession against town
Motorway: Concession economics, captive demand
Formats: Unmanned and truck networks
Brand join: Where feeds omit brand
Grades: Native labels kept
Services: Shop, wash, EV bays
Refresh: Weekly network, twice daily price

Platform specifics

Site class as a first-class field

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

Class fields

Peer groups have to be built from site class and catchment, not from brand alone, or every comparison is contaminated.

site_class — motorway, trunk, urban, rural, unmanned, truck.
peer_group derived from class and catchment, not brand.
concession_flag where a site sits on a concession network.
brand_join_version where brand was joined externally.

Unmanned formats, and what we do not do

Unmanned formats

Unmanned and automated sites sit at a structurally lower price level and are grouped separately rather than pulled into a brand average. See our France 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

Compare motorway with urban sites as peers, average across site classes, infer a concession relationship, or present a joined brand as official.

Scope

What we collect on TotalEnergies, 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

Site class on every record
Peer groups from class and catchment
Concession sites flagged
Unmanned formats separated
Brand joins versioned
Native grade labels kept
Official feeds primary where they exist
Geocoded for corridor work
Twice-daily price refresh

❌ What we do not, and why

Cross-class comparisons
Averages across site classes
Inferred concessions
Joined brand shown as official
Login-gated app prices

Core TotalEnergies 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
site_class	motorway, trunk, urban, rural, unmanned, truck
concession_flag	Concession network
peer_group	Derived
lat / lon / address	Geocoded
grade_key / grade_native	Both kept
price / currency_unit	EUR per litre
services	Including EV bays
brand_join_version	Where joined
source / observed_at	Per record

Use cases

What teams do with TotalEnergies data

Corridor pricing

Motorway premium against local.

Format analysis

Unmanned against manned sites.

Catchment position

Site against its own radius.

Estate mapping

Class mix by region.

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

Send us a TotalEnergies 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.

TotalEnergies is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. TotalEnergies 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 TotalEnergies-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

TotalEnergies data scraping: frequently asked questions

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

Motorway and urban sites face different demand, so they are not peers.

Yes, as their own class, not blended into a brand average.

From the feed where present, otherwise a versioned join.

Where they publish publicly, as a separate class.

Twice daily as standard, hourly on the premium tier.

It depends on markets, classes and refresh.

Talk to us.

See real TotalEnergies 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.

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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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