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US EPA Fuel Economy Scraper

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US EPA Fuel Economy Scraper

US EPA Fuel Economy Scraper

Scrape US EPA fuel economy ratings for any vehicle make/model/year. MPG city/highway/combined, fuel type, CO2 emissions, annual cost. No API key required.

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ParseForge

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โ›ฝ US EPA Fuel Economy Scraper

๐Ÿš€ Export EPA fuel economy data for every US vehicle in seconds. Pull city, highway, and combined MPG, CO2 emissions, annual fuel cost, engine config, and drivetrain for any model year from 1984 onward. No API key, no signup, no manual look-ups.

The US EPA Fuel Economy Scraper queries the official fueleconomy.gov REST API and returns up to 30 fields per record, including the EPA vehicle ID, year, make, model, engine and transmission config, vehicle class, fuel type (primary and alternate for flex-fuel and dual-fuel vehicles), city/highway/combined MPG, alternative-fuel MPG, annual fuel cost, tailpipe CO2 grams per mile, drivetrain, engine displacement, cylinder count, electric range, and start-stop equipment. The underlying dataset is the federally mandated efficiency database every US-market vehicle is tested against.

The catalog covers every model year from 1984 to today, every make sold in the US (including electric, hybrid, plug-in, flex-fuel, and diesel variants), and every engine/transmission configuration the EPA tests separately. This Actor exposes four traversal modes (vehicles, models, makes, byId) and an optional model-level aggregation that picks the best-MPG variant per make+model. Export as CSV, Excel, JSON, or XML in under a minute. All filtering and aggregation run server-side.

๐ŸŽฏ Target Audience๐Ÿ’ก Primary Use Cases
Auto journalists, dealerships, sustainability teams, EV analysts, fleet managers, researchers, comparison-shopping appsMPG and CO2 comparisons, fleet planning, tax-credit eligibility checks, dealer inventory enrichment, EV vs ICE studies, year-over-year emissions trends

๐Ÿ“‹ What the EPA Fuel Economy Scraper does

Four traversal modes in a single Actor:

  • ๐Ÿš— Vehicles mode. Year [+ make + model] -> every matching vehicle with full MPG, CO2, and cost detail.
  • ๐Ÿ“‹ Models mode. Year + make -> all models that year (lightweight, no per-trim detail).
  • ๐Ÿญ Makes mode. Year -> every make sold that model year.
  • ๐Ÿ” By ID mode. Look up a single vehicle by its EPA vehicle ID for the full spec sheet.

For vehicles mode, an extra aggregation toggle controls row granularity. engineConfig (default) returns one row per engine/transmission/drivetrain combination (raw EPA structure). model collapses to one row per make+model and keeps the best-MPG variant, adding a configCount field showing how many configs were considered.

Each record includes the EPA vehicle ID, year, make, model, engine config string (e.g. "Auto (S8), 4 cyl, 2.5 L"), vehicle class, primary and alternate fuel types, city/highway/combined MPG (and alt-fuel variants for flex-fuel cars), annual fuel cost, tailpipe CO2 g/mi, drivetrain, transmission, displacement in liters, cylinder count, EV range (city, highway, combined), and start-stop equipment.

๐Ÿ’ก Why it matters: the EPA endpoint returns positional XML wrappers nested across menus and detail records, with ten-plus alternate fields for hybrids and FFVs that you have to decode manually. This Actor walks the make -> model -> trim -> detail tree, normalizes alt-fuel fields, and emits one clean record per vehicle, plus optional model-level aggregation so dashboards don't drown in 20 Camry rows.

๐Ÿ“Š Data fields

Each record includes: annualFuelCostUsd, cityMpg, co2TailpipeGpm, combinedMpg, cylinders, displacementL, drive, engineConfig, fuelType, fuelType1, highwayMpg, id, make, model, scrapedAt, startStop, transmission, url, vehicleClass, year. All 20 field names come from a real production run, so what you see here is what lands in your dataset.

๐Ÿš€ How to use

  1. ๐Ÿ“ Sign up. Create a free account with $5 credit (takes 2 minutes).
  2. ๐ŸŒ Open the Actor. Go to the US EPA Fuel Economy Scraper page on the Apify Store.
  3. ๐ŸŽฏ Set input. Pick a mode (vehicles, models, makes, byId), set a year (and optionally make+model), choose aggregation.
  4. ๐Ÿš€ Run it. Click Start and let the Actor walk the EPA tree.
  5. ๐Ÿ“ฅ Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

โฑ๏ธ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

๐Ÿ’ก Pro Tip: browse the complete ParseForge collection for more automotive and reference-data scrapers.

โš ๏ธ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the US Environmental Protection Agency, the US Department of Energy, or fueleconomy.gov. All trademarks mentioned are the property of their respective owners. Only publicly available federal open data is collected.

๐Ÿ†˜ Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.