Autotrader Scraper

Scrape used and new car listings from Autotrader.com — the largest automotive marketplace in the US — with 70+ structured data points per vehicle including pricing, mileage, dealer info, vehicle history, and feature details. All for $1 per 1,000 cars.

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What can the Autotrader Scraper do for you?

• Build a nationwide vehicle database — Search by ZIP, make, model, price range, mileage, year, body style, drivetrain, fuel type, transmission, features, and dozens more filters using individual fields or a full Autotrader search URL
• Track pricing trends — Extract KBB Fair Purchase Price ranges, deal indicators (Great/Good/Fair), MSRP, sale prices, and price history to monitor market movements
• Generate dealer intelligence — Collect dealer names, locations, phone numbers, ratings, hours, and services offered across thousands of listings
• Power inventory analytics — Export VINs, stock IDs, style IDs, option codes, exterior/interior colors, and full specifications for competitive analysis
• Automate vehicle research — Schedule recurring runs to monitor new listings, price drops, or specific makes and models hitting the market
• Export to any format — Pull data as JSON, CSV, or Excel for integration with your CRM, analytics tools, or custom dashboards

What data can you extract?

Field	Description
🖼️ imageUrl	Primary vehicle image URL
🔗 url	Direct Autotrader listing link
🆔 listingId, vin, year	Listing ID, VIN, model year
🏷️ title, titleLong	Listing title and full title with location
🚗 make, model, trim, atTrim	Make, model, trim details
💰 price, msrp, kbbFppAmount	Display price, MSRP, KBB fair purchase price
📊 kbbFppLowAmount, kbbFppHighAmount	KBB price range
🏅 dealIndicator	Deal rating: Great, Good, Fair
📏 mileage	Odometer reading
⚙️ engine, transmission, driveType	Engine, transmission, drivetrain
⛽ fuelType, fuelTypeCode	Fuel type (Gasoline, Hybrid, Electric, Diesel)
🎨 exteriorColor, interiorColor	Exterior and interior colors
🚪 doors, bodyStyle, bodyStyleSubType	Doors, body style, size class
🛣️ mpgCity, mpgHighway	Fuel economy estimates
📐 displacementUOM	Engine displacement (liters)
📅 daysOnSite	Days since listing posted
🏢 dealerName, dealerPhone, distance	Dealer info and distance from search ZIP
📍 dealerCity, dealerState, dealerZip	Dealer location
⭐ hasSpecialOffer	Special offer indicator
📝 description	Vehicle description
📋 specifications	Full specs object (engine, MPG, transmission, colors)
📸 Full image array	All listing images with widths and heights

Why use this scraper?

• 📈 Market Research — Analyze pricing, inventory levels, and popular configurations across US markets to identify trends and opportunities
• 💰 Price Monitoring — Track KBB Fair Purchase Price ranges and deal indicators over time to spot good deals and market shifts
• 🤖 Sales Automation — Feed dealer contact info, inventory, and vehicle details into lead generation and CRM pipelines
• 🔍 Competitive Analysis — Compare makes, models, trims, and feature availability across dealers and regions

Pricing

• $1/1,000 cars
• No hidden fees or limits on usage.

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How to use the Autotrader Scraper

1. Create a free Apify account at apify.com
2. Open the Autotrader Scraper in Apify Console
3. Configure your search — paste a full Autotrader search URL from your browser (recommended — captures all filters) or use the individual fields for ZIP, make, model, price, and more
4. Set a limit (optional) — cap results with maxItems to control run cost
5. Start the run — the scraper will warm up a browser-like session and call Autotrader's internal API to pull listing data
6. Download the dataset — export as JSON, HTML, CSV, or Excel from the Apify Console

Input

Field	Type	Required	Description
searchUrl	string	no	Full Autotrader search URL (recommended — captures all filters including ones not individually mapped below)
zip	string	no	ZIP code for location-based search
city	string	no	City override (normally resolved from ZIP)
state	string	no	State override (e.g., AR)
dmaCode	string	no	Designated market area code (resolved from ZIP)
searchRadius	integer	no	Search radius in miles (default: 50)
makeCodes	string[]	no	Car makes (e.g., BMW, TOYOTA, FORD)
modelCodes	string[]	no	Car models (e.g., 3-Series, Camry)
minPrice	integer	no	Minimum price in USD
maxPrice	integer	no	Maximum price in USD
maxMileage	integer	no	Maximum mileage
startYear	integer	no	Earliest model year
endYear	integer	no	Latest model year
listingTypes	string[]	no	Listing types: NEW, USED, CERTIFIED, 3P_CERT
sellerTypes	string[]	no	Seller types: d (dealer), p (private)
transmissionCodes	string[]	no	Transmission: AUT, MAN
driveGroups	string[]	no	Drivetrain: AWD4WD, FWD, RWD
vehicleStyleCodes	string[]	no	Body styles: CONVERT, COUPE, SEDAN, SUVCROSS, TRUCKS, etc.
engineCodes	string[]	no	Cylinders: 3CLDR, 4CLDR, 6CLDR, 8CLDR
fuelTypeGroups	string[]	no	Fuel: DSL, ELE, GSL, HYB, PIH
doorCodes	string[]	no	Doors: 2, 3, 4, 5
exteriorColors	string[]	no	Exterior colors: BLACK, WHITE, BLUE, etc.
interiorColors	string[]	no	Interior colors: BLACK, BEIGE, GRAY, etc.
mpgRanges	string[]	no	MPG range: 10-MPG, 20-MPG, 30-MPG, 40-MPG
featureCodes	string[]	no	Feature codes from Autotrader (copy from filtered search URL)
dealType	string	no	Deal indicator filter (e.g., greatprice)
dateRange	string	no	Listing age filter (e.g., last-7-days)
newSearch	boolean	no	Send new search session signal on first request (default: true)
vin	string	no	Filter by specific VIN
listingId	string	no	Filter by specific listing ID
sortBy	select	no	Sort: relevance, price_desc, price_asc, newest, mileage_asc, year_desc, year_asc
maxItems	integer	no	Max listings to scrape (0 = all available, capped at ~330 per search)
proxyConfiguration	object	no	Apify proxy settings (Residential recommended)

📝 Copy for Use:

{
  "searchUrl": "https://www.autotrader.com/cars-for-sale/all-cars?zip=72076&searchRadius=50&makeCode=TOYOTA&maxPrice=30000",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

---

Why Choose This Scraper?

• Affordable: Pay only $1 per 1,000 cars scraped.
• Comprehensive: 70+ data points per vehicle including KBB pricing, dealer details, vehicle history flags, and full specifications — no separate detail API needed.
• Easy to Use: Paste a search URL from your browser or configure individual filters. No coding required.
• Reliable: Session warmup with TLS fingerprinting bypasses Akamai protection. Automatic retries with exponential backoff ensure data completeness.

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🙌 Why Buy Through Our Affiliate Link?

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Running via Apify Console

You can run this actor from the Apify Console by providing the necessary input parameters.

Running via API

You can trigger this actor using the Apify API, passing the required input in the request body.

API

Python

import asyncio
from apify_client import ApifyClientAsync

async def main():
    client = ApifyClientAsync(token="YOUR_API_TOKEN")
    run_input = {
        "searchUrl": "https://www.autotrader.com/cars-for-sale/all-cars?zip=72076&searchRadius=50&makeCode=TOYOTA&maxPrice=30000",
        "maxItems": 100,
        "proxyConfiguration": {"useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"]},
    }
    run = await client.actor("rigelbytes/autotrader-scraper").call(run_input=run_input)
    dataset_items = await client.dataset(run["defaultDatasetId"]).list_items()
    for item in dataset_items.items:
        print(item["title"], item["price"], item["mileage"])

asyncio.run(main())

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });

const runInput = {
  searchUrl: 'https://www.autotrader.com/cars-for-sale/all-cars?zip=72076&searchRadius=50&makeCode=TOYOTA&maxPrice=30000',
  maxItems: 100,
  proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ['RESIDENTIAL'] },
};

const run = await client
  .actor('rigelbytes/autotrader-scraper')
  .call(runInput);

const { items } = await client
  .dataset(run.defaultDatasetId)
  .listItems();

items.forEach(item => console.log(item.title, item.price, item.mileage));

cURL

curl -X POST "https://api.apify.com/v2/acts/rigelbytes/autotrader-scraper/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "searchUrl": "https://www.autotrader.com/cars-for-sale/all-cars?zip=72076&searchRadius=50&makeCode=TOYOTA&maxPrice=30000",
    "maxItems": 100,
    "proxyConfiguration": {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}
  }'

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Understanding Proxies:

When scraping data or browsing anonymously, proxies are essential. They act as intermediaries, masking your original IP address and allowing you to send requests from another location.

Why Use Proxies?

• Avoid IP Blocks: By routing requests through proxies, you prevent the target website from recognizing your IP as a scraper or spammer.
• Access Geo-restricted Content: Proxies let you access content or websites restricted by location.
• Enhance Anonymity: Hide your actual IP, ensuring privacy while scraping or browsing.

Types of Proxies

1. Residential Proxies
   • Real IP addresses provided by ISPs to home users.
   • They mimic regular users, making them harder to detect.
   • Best for: Long-term, undetectable scraping, and avoiding blocks.
2. Data Center Proxies
   • IP addresses from servers in data centers.
   • Faster and cheaper than residential proxies but easier to detect and block.
   • Best for: High-speed scraping, but with a higher risk of detection.
3. Mobile Proxies
   • IPs provided by mobile carriers (3G/4G/5G networks).
   • Very difficult to detect, as they appear as regular mobile users.
   • Best for: Mobile-related scraping or avoiding sophisticated blocks.

Rotating Proxies vs. Straight Proxies

• Rotating Proxies: Every request you send goes through a different proxy, making it harder for websites to detect patterns.
• Straight Proxies: All requests are sent through the same proxy, making it easier to track your IP.

About Rigel Bytes

Rigel Bytes specializes in web scraping, automation, and data analytics. We help businesses extract and leverage valuable data for informed decision-making.

Contact Us

Ready to unlock the power of data? Reach out to us at (contact@rigelbytes.com) or book an appointment with us to learn more about how we can help you achieve your data goals.

Detailed Data

[
  {
    "listingId": 782603846,
    "vin": "5N1AZ2MG7JN124151",
    "year": 2018,
    "title": "Used 2018 Nissan Murano Platinum",
    "make": "Nissan",
    "makeCode": "NISSAN",
    "model": "Murano",
    "modelCode": "MURANO",
    "trim": "Platinum",
    "price": 18875,
    "kbbFppAmount": 19470.0,
    "kbbFppLowAmount": 18570.0,
    "kbbFppHighAmount": 20420.0,
    "dealIndicator": "Great",
    "mileage": "69,189",
    "engine": "6-Cylinder",
    "transmission": "Automatic",
    "driveType": "FWD",
    "fuelType": "Gasoline",
    "exteriorColor": "Pearl White",
    "interiorColor": "Cashmere",
    "bodyStyle": "Sport Utility",
    "doors": "4",
    "mpgCity": 21,
    "mpgHighway": 28,
    "daysOnSite": 13,
    "dealerName": "McLarty Nissan of North Little Rock",
    "dealerPhone": "5014877573",
    "distance": 6.65,
    "listingType": "USED",
    "imageUrl": "https://images.autotrader.com/hn/c/a3478bdf2fe841eab855da99f06dd241.jpg",
    "url": "https://www.autotrader.com/cars-for-sale/vehicle/782603846"
  }
]