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Real-World vs Official Fuel Consumption Data

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from $3.00 / 1,000 vehicle consumption records

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Real-World vs Official Fuel Consumption Data

Real-World vs Official Fuel Consumption Data

Compare real-world fuel consumption with manufacturer-declared NEDC/WLTP figures across 9,894 vehicle variants. Coverage is strongest for European and UK-market specifications and is not intended for US- or Canadian-market-specific lookup.

Pricing

from $3.00 / 1,000 vehicle consumption records

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Developer

Fetch Finch

Fetch Finch

Maintained by Community

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1

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2 days ago

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Discover how much fuel vehicles actually use, not just what manufacturers claim. Compare and export real-world consumption against official NEDC/WLTP figures across 9,894 vehicle variants.

The dataset contains thousands of combustion and hybrid engine variants with manufacturer-declared values, real-world MPG where available, normalized l/100km conversions, and the calculated percentage gap between official and real-world consumption.

What this Actor is useful for

  • Automotive marketplaces and comparison tools
  • Fuel-cost and total-cost-of-ownership calculators
  • Fleet analysis and procurement tooling
  • Automotive journalism and research
  • Enriching internal vehicle datasets with real-world consumption estimates

Coverage

Current dataset snapshot:

  • 54 vehicle brands
  • 1,012 model generations
  • 9,894 engine variants
  • 7,222 variants with real-world MPG
  • 8,414 variants with NEDC values
  • 2,652 variants with WLTP values

Coverage is strongest for European and UK-market petrol, diesel, hybrid, mild-hybrid, and plug-in hybrid specifications, many of which are also relevant in Latin America, Asia, Africa, and Oceania. It is not intended as a US- or Canadian-market-specific fuel-economy database, VIN decoder, EV consumption API, or complete new-car database.

Input

The Actor supports five operations:

  • search - free-text search, e.g. volkswagen golf 1.4 tsi 150 dsg
  • lookup - filter by brand/model/engine/fuel/year
  • brand - export records for one brand
  • export - filtered dataset export
  • stats - summary statistics

Example input:

{
"operation": "search",
"searchQuery": "volkswagen golf 1.4 tsi 150 dsg",
"hasRealConsumptionOnly": true,
"officialStandard": "prefer-wltp",
"outputUnits": "both",
"maxResults": 25
}

Brand export example:

{
"operation": "brand",
"brandName": "Volkswagen",
"hasRealConsumptionOnly": true,
"maxResults": 1000
}

Filtered export example:

{
"operation": "export",
"fuelTypes": ["diesel"],
"yearFrom": 2015,
"yearTo": 2020,
"minDeviationPct": 20,
"sortBy": "deviation",
"sortOrder": "desc",
"maxResults": 500
}

Output

Each dataset item represents one engine variant:

{
"recordType": "vehicle-consumption",
"brand": "Volkswagen",
"brandSlug": "volkswagen",
"model": "Golf",
"modelYears": "2012 - 2020",
"engine": "1.4 TSI 150 DSG",
"fuelType": "petrol",
"selectedOfficialStandard": "NEDC",
"officialMpgNedc": 59.5,
"officialMpgWltp": null,
"selectedOfficialMpg": 59.5,
"realMpgAvg": 44.2,
"officialConsumptionL100km": 4.75,
"realConsumptionL100km": 6.39,
"realVsOfficialConsumptionDeviationPct": 34.5,
"dataQuality": {
"hasRealConsumption": true,
"hasWltp": false,
"hasNedc": true,
"hasDisplacement": true,
"flags": ["missing-wltp"]
}
}

The key-value store entry OUTPUT contains a run summary with total matched and returned records.

Important interpretation notes

  • MPG values are UK MPG.
  • l/100km is derived with 282.481 / UK MPG.
  • selectedOfficialStandard identifies whether the derived official l/100km value used WLTP or NEDC.
  • realVsOfficialConsumptionDeviationPct is based on l/100km, so positive means real-world consumption is worse than the official figure.
  • Source percentage fields are preserved as realVsOfficialMpgPct when MPG output is enabled. That value is MPG-based and therefore has the opposite intuition: lower percentages mean worse real-world fuel economy.
  • Plug-in hybrid records can have very high official MPG due to test-cycle behavior. Use quality flags when comparing PHEVs with conventional vehicles.

Use Apify pay-per-event pricing on default dataset items. The Actor is CPU-light and deterministic, so per-result pricing is predictable for users.

Suggested initial pricing:

  • Small per-run/start charge, if desired
  • Approximately $2–$3 per 1,000 returned records
  • Include platform usage in the price for simpler buyer expectations

Limitations

  • Mostly European and UK-market coverage.
  • Sparse EV and hydrogen coverage.
  • Sparse US- and Canadian-market-specific coverage.
  • Not a VIN decoder.
  • Not a substitute for official regulatory databases.
  • Real-world consumption varies by driving style, condition, weather, tires, load, and terrain.