🚗 Cars.com Scraper - Deals, Specs & Flip Scores
Pricing
from $2.00 / 1,000 results
🚗 Cars.com Scraper - Deals, Specs & Flip Scores
Returns Cars.com used and new car listings: price, mileage, year, make, model, VIN, colors, drivetrain, fuel type, deal rating, price against market, CARFAX one-owner, accident and title flags, dealer name, rating and phone, photos and a 0-100 flip score for resale margin. Filter by make and model.
Pricing
from $2.00 / 1,000 results
Rating
5.0
(1)
Developer
Ben
Maintained by CommunityActor stats
7
Bookmarked
91
Total users
11
Monthly active users
12 days ago
Last modified
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🚗 Cars.com Scraper — Vehicle Listings with Deal Ratings & Flip Scores
Extract used, new and certified pre-owned vehicle listings from Cars.com as clean, structured data. Every listing comes with price, mileage, VIN, full specs, CARFAX highlights, dealer details, photos, the Cars.com deal rating ("Great Deal", "$X under market") and a computed flip score that ranks arbitrage potential. Search by ZIP code and radius with make/model/year/price/mileage filters, or scrape specific listing URLs. Export to JSON/CSV/Excel, run on a schedule, call via API, or connect to Make, Zapier or n8n.
Data use. This Actor can return personal data (such as names, handles or contact details). You are the controller of the data you collect with it: make sure you have a lawful basis under the GDPR and similar laws, collect only what you need, and do not use it for unsolicited marketing.
🚙 What is the Cars.com Scraper?
It turns any Cars.com vehicle search into a structured dataset. Give it a ZIP code and filters (or paste listing URLs) and it returns each vehicle with full details, pricing, condition history and a 0–100 flip score that surfaces the best buy-low opportunities first — so dealers, flippers, brokers and market researchers can size up inventory without opening every listing by hand.
What data does it extract?
- Title, year, make and model + trim (
model_trim) - Price, mileage and stock type (new / used / cpo)
- Deal rating (
great_deal,good_deal,fair_deal,high_price) andprice_vs_market($ under market) - VIN for CARFAX/AutoCheck lookups
- Specs — exterior & interior color, transmission, drivetrain, fuel type
- CARFAX highlights — one owner, no accidents, clean title, service records
- Dealer block — name, rating, review count, phone, location (optional)
- Photos — up to 15 high-resolution image URLs (optional)
- Flip score (0–100) ranking arbitrage potential (optional), plus
url,sourceand ascraped_attimestamp
⬇️ Input
Run it two ways — search by ZIP with filters, or pass exact listing URLs:
| Field | Description |
|---|---|
mode | search (build URL from filters) or direct_urls |
zipCode | US ZIP code for the search location |
searchRadius | Distance from the ZIP in miles (10–500) |
stockType | all, new, used or cpo (certified pre-owned) |
make / model | Vehicle make (dropdown of 40+) and model (model requires a make) |
minYear / maxYear | Model-year range |
minPrice / maxPrice / maxMileage | Standard filters |
dealRating | Keep only great_deal, good_deal and/or fair_deal |
listingUrls | Direct Cars.com URLs (for direct_urls mode) |
maxListings | Cap the run (1–1000) |
includePhotos / includeDealerInfo / includeFlipScore | Toggle extras |
Example input
{"mode": "search","zipCode": "90210","searchRadius": 50,"stockType": "used","make": "toyota","model": "camry","minYear": 2020,"maxYear": 2024,"maxPrice": 30000,"maxMileage": 60000,"maxListings": 100,"includePhotos": true,"includeDealerInfo": true,"includeFlipScore": true}
⬆️ Output
Every vehicle is one clean record (view as a table, or export JSON / CSV / Excel):
{"url": "https://www.cars.com/vehicledetail/abc123/","source": "cars.com","scraped_at": "2026-06-26T15:30:00.000000","title": "Used 2022 Toyota Camry SE","year": 2022,"make": "Toyota","model_trim": "Camry SE","price": 24995,"mileage": 28500,"stock_type": "used","deal_rating": "great_deal","price_vs_market": 1270,"vin": "4T1BF1FK0NU123456","exterior_color": "Midnight Black","interior_color": "Black","transmission": "Automatic","drivetrain": "FWD","fuel_type": "Gasoline","carfax_one_owner": true,"carfax_no_accidents": true,"carfax_clean_title": true,"carfax_service_records": true,"dealer": {"name": "Toyota of Los Angeles","rating": 4.5,"reviews": 1320,"phone": "(555) 123-4567","location": "Los Angeles, CA"},"photos": ["https://platform.cstatic-images.com/xxlarge/in/v2/..."],"flip_score": 82}
💡 Use cases
- 🔄 Car flippers — arbitrage hunting: find "Great Deal" cars priced under market and rank them by flip score before the competition.
- 🏬 Dealers — wholesale sourcing & intel: spot underpriced inventory and monitor competitor pricing by make, model and region.
- 🤝 Auto brokers — client matching: locate specific vehicles for buyers and know true market position before negotiating.
- 📊 Market researchers: track pricing, supply and deal ratings across segments and metros over time.
❓ FAQ
How do I scrape car listings from Cars.com? Choose search mode, set a zipCode and
searchRadius, add any make/model/year/price/mileage filters, then run. Each vehicle comes
back with full specs, pricing, deal rating and a flip score.
Can I find the best deals automatically? Yes — filter dealRating to keep only
great_deal / good_deal listings, then sort by flip_score to surface the strongest
buy-low opportunities first.
What is the flip score? A transparent 0–100 score combining the Cars.com deal rating,
how far the price sits under market (price_vs_market), CARFAX condition (clean title, no
accidents, one owner) and resale potential (vehicle age, mileage, stock type). As a rough
guide: 80–100 = strong opportunity, 60–79 = good, 40–59 = average.
Which vehicle data is included? Year, make, model + trim, price, mileage, stock type, VIN, colors, transmission, drivetrain, fuel type, CARFAX highlights, dealer details, photos, deal rating and flip score.
Does it include the VIN? Yes, when shown on the listing — so you can run your own CARFAX or AutoCheck history report.
Can I scrape specific listings I already found? Yes — use direct_urls mode and paste
Cars.com vehicle URLs into listingUrls.
What happens when a search has no matches or a listing is gone? The run ends
successfully with zero rows and a status message that says so. In direct_urls mode a sold
or removed listing is skipped and the other links are still read.
Can I search every make, or models like F-150 and Model 3? Yes. Choose All Makes to search across makes, and write a model the way Cars.com does (F-150, CR-V, Model 3, Range Rover).
Do I need an API key or login? No. Just set your search filters or paste URLs — no Cars.com account required.
How many listings can it return? Up to your maxListings cap (1–1000); in search mode
it collects listing links across result pages, then scrapes each detail page.
Are the flip scores and deal ratings guaranteed? No — they're calculated estimates from listed data to help you prioritize. Always verify with the dealer and run a full history report before buying.
Can I run it on a schedule or via API? Yes — schedule recurring runs in Apify, call it via the API/SDK, or connect it to Make, Zapier or n8n.
Is scraping Cars.com legal? It extracts publicly available listing data. Use it responsibly for research, sourcing and business intelligence, and follow applicable laws and Cars.com's terms.
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Keywords: Cars.com scraper, used car data, car listings scraper, vehicle data, deal rating, flip score, car arbitrage, dealer inventory, VIN lookup, CARFAX data, used car market research, auto pricing intelligence, car flipping, certified pre-owned, vehicle listings API.