Edmunds Car Scraper 🚗 avatar

Edmunds Car Scraper 🚗

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Pay per usage

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Edmunds Car Scraper 🚗

Edmunds Car Scraper 🚗

Scrape Edmunds car listings, prices, vehicle specs, features, mileage, dealer details, ratings, and used & new car data. Extract structured automotive market data for price tracking, vehicle research, lead generation, analysis, and comparison.

Pricing

Pay per usage

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Developer

Shahid Irfan

Shahid Irfan

Maintained by Community

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3

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2

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3 days ago

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What does Edmunds Car Scraper do?

Edmunds Car Scraper collects public new and used vehicle inventory from Edmunds.com and saves it as structured records in an Apify dataset. Use a direct Edmunds inventory URL or enter filters such as make, model, model year, ZIP code, radius, inventory type, and price range.

Each result can include VIN, vehicle specifications, pricing, mileage, colors, fuel economy, dealer contact information, photos, incentives, delivery information, and other listing attributes published by Edmunds. The dataset is useful for automotive market research, dealer inventory monitoring, price comparisons, valuation work, lead research, and recurring inventory snapshots.

Why use Edmunds Car Scraper?

  • Search the inventory you need - Use an existing Edmunds search URL or build a search from the available vehicle and location filters.
  • Keep rich listing data - Records include normalized vehicle fields together with the source listing information, so important details are not lost during export.
  • Collect unique vehicles - VIN-based deduplication prevents the same vehicle from being saved more than once across pages.
  • Control run size - Set results_wanted for the number of records and max_pages as a safety limit for pagination.
  • Monitor prices and supply - Run the same search on a schedule and compare inventory, advertised prices, mileage, dealers, and listing dates over time.
  • Use the output anywhere - Download JSON, CSV, Excel, or XML, access the dataset through the Apify API, or connect it to webhooks and automation tools.

What data can you extract from Edmunds?

The actor saves the complete non-empty listing object available in the Edmunds inventory results and adds stable top-level aliases for common workflows. Optional values are omitted when the source does not publish them.

Output Data

Each dataset item represents one unique Edmunds vehicle listing. The normalized fields below are accompanied by the original nested listing objects when they are available.

Vehicle and pricing fields

FieldTypeDescription
vinStringVehicle Identification Number when published.
vidStringEdmunds vehicle listing identifier.
yearNumberModel year.
makeStringVehicle manufacturer.
modelStringVehicle model.
trimStringTrim or style name.
titleStringCombined year, make, model, and trim.
typeStringInventory classification such as new, used, or CPO.
priceNumberAdvertised vehicle price in USD.
msrpNumberDealer or manufacturer MSRP when available.
mileageNumberOdometer reading.
stockNumberStringDealer stock number.
certifiedBooleanCertified status when published.
inTransitBooleanWhether the vehicle is marked as in transit.
listedSinceNumberEdmunds listing timestamp when available.
firstPublishedDateNumberFirst publication timestamp when available.

Vehicle specifications and photos

FieldTypeDescription
engineStringEngine description or derived engine label.
transmissionStringTransmission type.
drivetrainStringDrivetrain such as FWD, AWD, RWD, or 4WD.
fuelTypeStringFuel or powertrain type.
exteriorColorStringExterior color.
interiorColorStringInterior color.
bodyStyleStringBody style or vehicle type.
mpgCityNumberEPA city MPG when available.
mpgHighwayNumberEPA highway MPG when available.
doorsNumberNumber of doors.
imagesArrayVehicle photo URLs available or derived from the listing photo data.
derivedGenericFeaturesArrayHighlighted equipment and feature labels from the listing.
vehicleInfoObjectOriginal nested vehicle specifications, style, mileage, and photo data.

Dealer, offer, and run metadata

FieldTypeDescription
dealerNameStringDealer name.
dealerAddressStringFormatted dealer street, city, state, and ZIP address.
dealerPhoneStringDealer phone number when published.
dealerRatingNumberDealer rating when available.
dealerInfoObjectOriginal dealer identity, address, franchise, rooftop, distance, phone, and retail fields.
pricesObjectOriginal advertised, display, MSRP, savings, compliance, and payment fields.
incentivesObjectIncentive and eligibility information.
deliveryOptionsObjectDelivery availability or fee information.
computedInfoObjectEdmunds calculated savings and related values.
computedDisplayInfoObjectDisplay, phone, price validation, and listing-age values.
urlStringVehicle detail URL when published or an Edmunds VIN URL.
sourcePageStringInventory search page used to collect the listing.
scrapedAtStringISO timestamp for the collection time.

How to use Edmunds Car Scraper

  1. Open the Actor in Apify Console.
  2. Paste a public Edmunds inventory search URL, or enter the filters you want to use.
  3. Set results_wanted and, for larger searches, max_pages.
  4. Run the Actor and inspect the dataset preview.
  5. Download the results or connect the dataset to your database, spreadsheet, webhook, or application.

For cloud runs and larger collections, an Apify residential proxy configuration is recommended because Edmunds applies strong access controls. Start with a small result limit before scheduling repeated or high-volume runs.

Input Parameters

ParameterTypeRequiredDefaultDescription
startUrlStringNoEmptyPublic Edmunds inventory URL. When provided, it takes priority over filter inputs.
makeStringNoEmptyManufacturer filter, such as Toyota or Honda.
modelStringNoEmptyModel filter, such as Camry or F-150.
yearIntegerNoEmptyModel year filter.
zipCodeStringNoEmptyZIP code for a location-based search.
radiusIntegerNo50Search radius in miles when zipCode is used.
inventoryTypeStringNonewInventory type. Supported values are new and used.
minPriceIntegerNoEmptyMinimum price in USD.
maxPriceIntegerNoEmptyMaximum price in USD.

| results_wanted | Integer | No | 20 | Maximum number of unique vehicle records to save. | | max_pages | Integer | No | 10 | Maximum number of inventory pages to process. | | proxyConfiguration | Object | No | Residential on cloud | Apify Proxy settings. Residential access is recommended for dependable Edmunds collection. |

Usage Examples

Collect new Toyota Camry inventory near Los Angeles:

{
"make": "Toyota",
"model": "Camry",
"inventoryType": "new",
"zipCode": "90001",
"radius": 50,
"results_wanted": 20
}

Used-car price research

Collect used vehicles in a local price range and allow several pages for broader coverage:

{
"inventoryType": "used",
"zipCode": "10001",
"radius": 75,
"minPrice": 15000,
"maxPrice": 30000,
"results_wanted": 100,
"max_pages": 10
}

Reuse a filtered Edmunds URL

Pass a search URL when Edmunds already contains the exact filters you need. A starting pagenumber is respected:

{
"startUrl": "https://www.edmunds.com/inventory/srp.html?inventorytype=used&make=honda&model=accord&pagenumber=2",
"results_wanted": 50,
"max_pages": 5
}

Sample Output

This representative item shows the normalized fields returned alongside the source listing data. The nested objects can contain additional values, and fields not published for a particular vehicle are omitted.

{
"vin": "3C63R3JL5VG391640",
"vid": "d40bfaa533e7f781e9da354e90ebd737",
"year": 2027,
"make": "Ram",
"model": "3500",
"trim": "Laramie",
"title": "2027 Ram 3500 Laramie",
"type": "NEW",
"price": 90645,
"msrp": 90645,
"mileage": 2,
"stockNumber": "R16532",
"engine": "6.7L 6-cylinder",
"drivetrain": "4WD",
"dealerName": "MJ McGuire Chrysler Dodge Jeep Ram",
"dealerAddress": "520 3rd Ave SW, Rugby, North Dakota, 58368",
"dealerPhone": "701-490-9732",
"images": ["https://www.edmunds.com/assets/m2/for-sale/d0-3C63R3JL5VG391640/img-1-600x400.jpg"],
"vehicleInfo": {
"mileage": 2,
"styleInfo": {
"make": "Ram",
"model": "3500",
"trim": "Laramie",
"year": 2027
}
},
"prices": {
"advertisedPrice": 90645,
"displayPrice": 90645,
"dealerMsrp": 90645,
"savings": 0
},
"url": "https://www.edmunds.com/inventory/vin/3C63R3JL5VG391640/",
"sourcePage": "https://www.edmunds.com/inventory/srp.html?inventorytype=new&radius=50",
"scrapedAt": "2026-08-29T11:01:16.219Z"
}

Tips for Best Results

  • Start with 20 records - Use the schema prefill to confirm that the search and output match your needs.
  • Use a direct search URL for advanced filters - Edmunds search URLs preserve filters that are not represented as separate Actor inputs.
  • Use focused searches - Combining make, model, year, ZIP code, and price limits usually produces a more useful dataset.
  • Set a page cap - max_pages prevents an unexpectedly broad search from running longer than intended.
  • Use residential access for cloud runs - It is the most dependable choice for repeated or larger Edmunds collections.
  • Expect optional fields - VINs, photos, dealer phones, ratings, fuel economy, incentives, and payment values are not present for every vehicle.
  • Compare repeat runs carefully - Inventory changes quickly, so use VIN as the stable vehicle key and treat price and availability as time-sensitive values.

Integrations and Export Formats

  • Google Sheets - Review inventory, prices, dealers, and regional comparisons.
  • Airtable - Build a searchable vehicle and dealer database.
  • Webhooks - Send completed run notifications or records to another service.
  • Make or Zapier - Trigger price alerts, reports, and downstream workflows.
  • Apify API - Read datasets programmatically from an application or data pipeline.
  • JSON - Use nested vehicle records in software and data workflows.
  • CSV - Analyze normalized fields in spreadsheet applications.
  • Excel - Share inventory and pricing reports.
  • XML - Exchange records with systems that require XML.

Frequently Asked Questions

Can I search by make, model, year, or ZIP code?

Yes. Provide any combination of the filter inputs, or use startUrl when you already have a configured Edmunds inventory search.

Can I collect both new and used vehicles?

Yes. Set inventoryType to new or used, or provide a direct URL whose inventory type is already configured.

Can I collect multiple pages?

Yes. The actor follows the Edmunds pagenumber pagination parameter, removes duplicate vehicles across pages, and stops at results_wanted, max_pages, or the last available page.

Why are some vehicle fields missing?

Edmunds does not publish the same fields for every listing. Missing prices, phones, ratings, MPG values, photos, incentives, or specifications usually reflect the individual listing.

How are duplicate vehicles handled?

Records are deduplicated primarily by VIN, with Edmunds vehicle identifiers and a conservative fallback key used when a VIN is not available.

Can I export the dataset to CSV or Excel?

Yes. Apify datasets can be downloaded as JSON, CSV, Excel, XML, and other supported formats after the run completes.

Can I schedule recurring inventory checks?

Yes. Create an Apify schedule with the same URL or filters to refresh pricing and inventory snapshots hourly, daily, weekly, or on another schedule.

You are responsible for complying with Edmunds terms, applicable privacy and data-use laws, and any other rules that apply to your project. Collect public information responsibly and respect access limits.

  • Cars.com Scraper - Collect vehicle listings, pricing, mileage, VINs, dealer details, locations, and images from Cars.com.
  • Autotrader.ca Scraper - Collect Canadian vehicle listings with specifications, prices, mileage, seller information, and photos from Autotrader Canada.

Support

For issues, field requests, or feature suggestions, use the Issues tab on the Actor page in Apify Console. Include the public Edmunds search URL, the input values used, and a short description of the unexpected result. Do not include proxy credentials or private account information.

This Actor is intended for legitimate collection and analysis of publicly available vehicle inventory information. Users are responsible for using the data responsibly and complying with Edmunds terms, Apify policies, applicable privacy requirements, and other relevant laws.