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CARFAX Used Cars Scraper

Pricing

Pay per event

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CARFAX Used Cars Scraper

CARFAX Used Cars Scraper

Search and collect used car listings from CARFAX with vehicle history details, pricing, mileage, and dealer information. Filter by make, model, year, price range, and location. Get comprehensive vehicle data including accident history and ownership records for smarter car buying decisions today.

Pricing

Pay per event

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0.0

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Developer

ParseForge

ParseForge

Maintained by Community

Actor stats

0

Bookmarked

30

Total users

5

Monthly active users

9 hours ago

Last modified

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πŸš— CARFAX Used Cars Scraper

Search and collect used car listings from CARFAX.com without visiting a single dealership. Pull pricing, mileage, specs, dealer info, and vehicle history badges across any make, model, ZIP code, or search radius. Useful for car buyers comparing options, dealers tracking the market, and researchers studying used car pricing trends.

Filter by accident history, owner count, service records, price range, and more. Export everything to JSON, CSV, or Excel.

✨ What Does It Do

  • πŸš— Vehicle Listings - Title, VIN, year, make, model, trim, sub-trim, and direct CARFAX URL
  • πŸ’° Pricing - Current asking price, original list price, and full price change history
  • πŸ… Value Badge - CARFAX value rating (GREAT, GOOD, FAIR) per listing
  • πŸ“Š Specs - Engine, displacement, transmission, drive type, fuel type, MPG city/highway/combined
  • 🎨 Appearance - Body style, exterior and interior color
  • ⭐ Top Options - Key features like sunroof, heated seats, alloy wheels, keyless entry
  • πŸ” All Options - Full equipment list (50+ items per vehicle)
  • βœ… History Badges - One owner, no accidents, service records, personal use flags
  • πŸ“œ Vehicle History - Accident, owner, service, and use history as readable summaries
  • πŸ“… Listing Metadata - Stock number, first seen date, follow count
  • 🏒 Dealer Info - Name, address, city, state, ZIP, phone, group name, ratings, and review count

πŸ“‹ How to Use

No technical skills required:

  1. Sign Up: Create a free account with $5 credit
  2. Open the Tool: Search for "CARFAX Used Cars Scraper" in the Apify Store
  3. Set Your Input: Enter a ZIP code, make/model, or paste a CARFAX URL directly
  4. Run: Click Start and watch the listings come in
  5. Export: Download as CSV, Excel, or JSON

πŸ“Š Data fields

Each record includes: accidentHistory, badge, carfaxId, currentPrice, dealerAddress, dealerCity, dealerName, dealerPhone, dealerState, dealerZip, displacement, driveType, engine, exteriorColor, firstSeen, followCount, fuelType, interiorColor, listPrice, make, mileage, model, mpgCity, mpgCombined, mpgHighway, noAccidents, oneOwner, otherOptions, ownerHistory, personalUse, priceHistory, scrapedAt, serviceHistory, serviceRecords, stockNumber, subTrim, title, topOptions, transmission, trim. All 40 field names come from a real production run, so what you see here is what lands in your dataset.

πŸš€ How to use

  1. πŸ“ Sign up. Create a free account with $5 credit (takes 2 minutes).
  2. 🌐 Open the Actor. Go to the CARFAX Used Cars Scraper page on the Apify Store.
  3. 🎯 Set input. Configure the input fields in the form (or paste a JSON), then set maxItems.
  4. πŸš€ Run it. Click Start and let the Actor collect your data.
  5. πŸ“₯ Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by CARFAX or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.

πŸ’‘ Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

πŸ†˜ 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.