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MG configurator prices in 12 countries

MG prices and trims pulled from the official configurator across 12 markets. Each record carries the price in price_catalog_eur and price_final_eur plus a tax indicator (price_includes_vat). Available as an Apify actor or as a custom dataset.

Quick answer: The actor mgmotor-configurator-scraper collects the MG configurator across 12 markets and returns prices and trims as JSON, CSV or Excel from Apify. You can download a 100-row sample with 19 fields or order a historical, normalized dataset.

12
Markets
100
Sample rows
19
Native fields
8
Models in sample

The MG dataset, field by field

The Mgmotor Configurator Scraper actor (mgmotor-configurator-scraper) opens the official MG configurator and stores one row per configurable version (model, trim and powertrain). The public sample holds 100 rows and 19 native fields; every run reflects the configurator at that moment and stamps it in scraped_at.

In its latest full run the actor returned 436 records from 12 countries (Austria, Belgium, Spain, Finland, France, Germany, Iceland, Luxembourg and 4 more) and 12 model names. Those are the markets verified so far, not a fixed ceiling for the actor.

The sample includes models such as MGS5 EV, MGS6 EV, MG4 EV, MGS9 PHEV, MG4 EV Urban, MG HS PHEV. The model_name field keeps the name exactly as the manufacturer publishes it and country identifies the market, which makes them the natural join key against other brands.

MG markets and models

Markets verified in the latest full run and how many rows of the public sample belong to each. Actual actor coverage may be wider than a single run.

CountryCodeRows in sampleModels in sample
AustriaAT11MGS6 EV, MG4 EV, MGS9 PHEV
BelgiumBE11MGS6 EV, MG4 EV, MG4 EV Urban
SpainES12MGS5 EV, MGS6 EV, MGS9 PHEV
FinlandFI11MGS6 EV, MG4 EV Urban, MGS5 EV
FranceFR11MGS6 EV, MG4 EV, MG4 EV Urban
GermanyDE11MGS6 EV, MG4 EV, MG4 EV Urban
IcelandIS0—
LuxembourgLU0—
NetherlandsNL11MG4 EV, MGS6 EV, MG4 EV Urban
PortugalPT11MGS6 EV, MG4 EV, MG4 EV Urban
SwedenSE11MGS6 EV, MG4 EV Urban, MGS5 EV
SwitzerlandCH0—

10 real rows from the MG configurator

Extract of the downloadable sample (100 rows, 19 columns). The 8 key MG columns are shown; no personal fields.

countrymodel_nameedition_namepayment_typeprice_catalog_eurprice_final_eurtotal_discount_eurprice_includes_vat
EspañaMGS5 EVComfortfinance3334022090-11250True
GermanyMGS6 EVLuxurycash4999049990—True
FranceMG4 EVPremium 64 kWhlease3349033490—True
PortugalMG4 EV Urban43 kWh Comfortcash23899.7923899.79—True
NetherlandsMGS9 PHEVComfortcash4525043750-1500True
AustriaMGS6 EVComfortcash3599035990—True
SwedenMGS6 EVLuxury RWDcash479990479990—True
FinlandMG HS PHEVComfortcash37981.4237981.42—True
Belgium (NL)MGS6 EVLuxury Long Rangecash4699041990-5000True
EspañaMGS6 EVLuxuryfinance4599037980-8010True

Values are exactly what the actor returned in its latest extraction; they have not been edited.

MG field dictionary

Native output fields of the actor, with type and an example value taken from the sample.

FieldTypeExample
scraped_atstring2026-10-04T21:16:43.133014+00:00
source_urlstringhttps://www.mgmotor.eu/es-ES/conf…
marketstringes-ES
countrystringEspaña
currencystringEUR
model_slugstringmgs5
model_namestringMGS5 EV
edition_keystringcomfort
edition_namestringComfort
edition_id_internalnumber36478677
payment_typestringfinance
is_monthly_paymentbooleanFalse
payment_namestringFinanciación
price_catalog_rawstring€ 33.340 (incl.IVA)*
price_catalog_eurnumber33340
price_final_eurnumber22090
price_includes_vatbooleanTrue
total_discount_eurnumber-11250
app_bundle_idstringaf94c53ab91ca691e72fda1f6d24b185

Gross price, net price and taxes in MG

In MG output the amount arrives in price_catalog_eur and price_final_eur and price_includes_vat tells you the tax treatment. There is no separate net price; in the normalized dataset we compute it from the market VAT and flag it as derived.

Rebates and offers show up in total_discount_eur, so you can track when a campaign appears and how far it moves the price of each trim.

Finance terms arrive in payment_type.

Need gross, net and taxes on the same basis across all brands? The data normalization service handles it.

What you can decide with MG data

Cross-brand price benchmarking
Join MG against other brands by market and trim using country and model_name; with 12 markets you can compare the same segment across countries without mapping schemas by hand.
country · model_name · price_catalog_eur
Campaign and discount tracking
Spot offers in total_discount_eur, compare the price with and without the campaign and log when each appears using scraped_at.
total_discount_eur · scraped_at
Finance analysis
Use payment_type to compare MG finance terms and instalments against the competition in each market.
payment_type

Questions about MG data

Do MG prices include tax and is there a net price?

The price arrives in price_catalog_eur and price_final_eur and price_includes_vat indicates the tax treatment. There is no net field; we derive it in the normalized dataset using the market VAT.

How often is MG data refreshed?

Each actor run reflects the configurator at that moment and stamps it in scraped_at. You can schedule recurring runs on Apify; if you need a fixed cadence with automatic delivery by API, S3 or CSV, we set it up as a custom dataset.

Is there price history for MG?

The actor does not keep history by itself: each run is a snapshot, and history builds up by accumulating runs. If you want it already built for MG and the markets you care about, request it on the datasets page and we will tell you which period we can deliver.

Which formats are MG data delivered in?

Apify exports every dataset as JSON, CSV, Excel, XML, HTML and RSS. Here you can download the sample as JSON and CSV (100 rows, 19 columns). For recurring deliveries we add API, S3 or whatever format your team uses.

Which markets does MG cover and what does the public sample include?

Coverage: 12 markets (declared). The 100-row sample includes 9 markets out of the 12 supported and 8 distinct models. It is meant to validate the schema, not to replace the full dataset.

Start with MG data

Run the actor yourself on pay-per-result or order the historical or normalized dataset your team needs.

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