Platform · BP

BP Station Data Scraping

In one country the canopy says BP. In another it says something else entirely, owned by the same group.

BP trades under more than one forecourt brand depending on the market, which breaks any analysis that treats canopy text as company identity. The record therefore carries canopy brand and parent group as separate fields, plus the operator, since many sites are dealer run. Where a country runs a mandatory reporting scheme the scheme feed is primary and the locator supplies brand, services and geocoding the feed may omit. 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.

Group-level share is a derived number. It needs a brand map that someone maintains and versions.

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bp_stations_sample.jsonl LIVE FEED

{"brand_canopy":"as displayed","parent_group":"as published","market":"DE"} {"brand_canopy":"different canopy","parent_group":"same group","market":"GB"} {"brand_map_version":"2026-09","aggregate":"group share"}

illustrative sample rows · Globalcanopy and company · schema v1.0

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

Our Data Powers

B2C Marketplace

amazon

D2C + Marketplace

NYKAA

D2C + Marketplace

Walmart

FMCG Marketplace

udaan

Food Delivery

Uber Eats

Quick Commerce

blinkit

Taxi Aggregator

Uber

E-Commerce

Tmall

BP at a glance

How we handle BP specifically

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

Canopy brands: More than one, by market
Parent group: Stored separately
Operators: Many sites dealer run
Scheme markets: Feed primary, locator enriches
Brand map: Maintained and versioned
Services: Shop, wash, EV bays, truck lanes
Closures: Confirmed across runs
Refresh: Weekly network, twice daily price

Platform specifics

Canopy against company

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

Group fields

Market-share work at group level is only as good as the brand map, so the map version travels with every derived figure.

brand_canopy and parent_group as separate fields.
brand_map_version on any group-level aggregation.
operator kept distinct from both.
market, since the same group uses different brands per country.

Strategy news, and what we do not do

Strategy news

Corporate strategy announcements are recorded as dated company statements and never used to predict which sites will close. See our bp pulse 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

Treat canopy text as company identity, aggregate to group level without a versioned map, forecast closures from strategy statements, or infer operators.

Scope

What we collect on BP, 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

Canopy and parent kept apart
Brand map versioned
Operator recorded separately
Market on every record
Scheme feeds primary where they exist
Locator used for enrichment
Closures confirmed across runs
Strategy news dated, not predictive
Twice-daily price refresh

❌ What we do not, and why

Canopy read as company
Unversioned group aggregation
Predicted closures
Inferred operators
Login-gated app prices

Core BP 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_canopy / parent_group	Two fields
operator	Separate key
market	Country
lat / lon / address	Geocoded
grade_key / grade_native	Both kept
price / currency_unit	Local currency per litre
services	Including EV bays
brand_map_version	On aggregates
site_status / confirmation_count	Closure handling
source / observed_at	Per record

Use cases

What teams do with BP data

Group share

Sites by country under one owner.

Price dispersion

Across canopies in one market.

Corridor analysis

Trunk-road presence.

Estate change

Rebrands, openings, closures.

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

Send us a BP 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.

BP is usually collected alongside its competitors

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

BP data scraping: frequently asked questions

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

Not reliably. Canopy brand and parent group are separate fields.

With a maintained brand map, whose version is attached to the figure.

No. They are dated statements, nothing more.

Yes, as primary in markets that mandate reporting.

Yes, as a site service field, with charging tariffs handled on the network pages.

It depends on markets, sites and refresh.

Talk to us.

See real BP 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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