# AutoTrader Scraper (`jungle_synthesizer/autotrader-scraper`) Actor Collect car listings from AutoTrader.com. Search by ZIP code, radius, listing type, make, model, year range, and price. Returns price, mileage, VIN, KBB deal rating, seller info, specs, and photo URLs. Export as JSON, CSV, or Excel. - **URL**: https://apify.com/jungle\_synthesizer/autotrader-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 33.3% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## AutoTrader Car Listings Scraper Scrapes car listings from [AutoTrader.com](https://www.autotrader.com). Search by ZIP code, radius, listing type, make, model, year range, and price — returns 35+ fields per listing including price, mileage, VIN, Kelley Blue Book deal rating, seller contact info, specs, and photo URLs. --- ### AutoTrader Scraper Features - Extracts 35+ structured fields per listing — price, mileage, VIN, trim, engine, transmission, fuel type, drive type, KBB deal rating, and more - Filters by listing type (all, new, used, certified), make, model, year range, and max price - Returns KBB Fair Purchase Price and deal delta — so you can see exactly how far above or below market a listing is - Collects seller name, phone number (when visible), and distance from your ZIP code - Includes vehicle history report preview flags (e.g. NO_ACCIDENTS_REPORTED) where AutoTrader surfaces them - Handles pagination automatically — scrapes as many listings as you configure, up to AutoTrader's full result set - Exports clean JSON, CSV, or Excel via Apify's standard dataset output --- ### Who Uses AutoTrader Data? - **Car buyers** — Pull listings matching your exact criteria and track price changes over time without reloading the page every morning - **Dealerships and inventory analysts** — Monitor competitor pricing by make, model, and region to set competitive ask prices - **KBB arbitrage researchers** — Filter for listings with GREAT_DEAL or GOOD_DEAL ratings, then cross-reference against local demand - **Automotive market researchers** — Measure days-on-site and price-reduction rates to identify slow-moving inventory segments - **Used car resellers** — Identify underpriced certified or low-mileage listings before they move - **Data journalists** — Build regional price databases for reporting on used car inflation, EV adoption rates, or make/model availability --- ### How AutoTrader Scraper Works 1. **Configure your search.** Set a ZIP code, search radius, listing type, and optional make/model/year/price filters. The scraper constructs the same URL AutoTrader would show you in a browser. 2. **The scraper fetches the first page.** AutoTrader serves fully-rendered Next.js pages with all listing data embedded in the HTML — no JavaScript execution needed. The scraper reads the total listing count from the first page. 3. **Pagination runs automatically.** Based on total count and your `maxItems` cap, the scraper enqueues all remaining pages (25 listings per page) and fetches them concurrently. 4. **Data is extracted and returned.** Each listing's structured data is pulled from the embedded JSON payload and returned as a flat record with consistent field names. --- ### Input ```json { "zip": "90210", "searchRadius": 50, "listingType": "used-cars", "make": "toyota", "model": "camry", "minYear": 2018, "maxYear": 2023, "maxPrice": 30000, "maxItems": 100 } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `zip` | string | — | **Required.** ZIP code to search near. Determines the geographic center of the search. | | `listingType` | string | `all-cars` | Type of listings: `all-cars`, `new-cars`, `used-cars`, or `certified-cars` | | `searchRadius` | integer | `100` | Search radius in miles from the ZIP code | | `make` | string | — | Vehicle make to filter by (e.g. `toyota`, `ford`). Leave blank for all makes. | | `model` | string | — | Vehicle model to filter by (e.g. `camry`, `f-150`). Requires `make` to be set. | | `minYear` | integer | — | Minimum model year, inclusive. Leave blank for no lower bound. | | `maxYear` | integer | — | Maximum model year, inclusive. Leave blank for no upper bound. | | `maxPrice` | integer | — | Maximum listing price in dollars. Leave blank for no limit. | | `maxItems` | integer | `100` | Maximum number of listings to return. | *** ### AutoTrader Scraper Output Fields ```json { "listingId": "645723891", "listingUrl": "https://www.autotrader.com/cars-for-sale/vehicledetails.xhtml?listingId=645723891", "title": "Used 2021 Toyota Camry XSE", "vin": "4T1G11AK0MU123456", "year": 2021, "make": "Toyota", "model": "Camry", "trim": "XSE", "listingType": "USED", "mileage": "42,037", "price": 28495, "msrp": null, "kbbFairPurchasePrice": 29100, "kbbFppDelta": -605, "dealRating": "GOOD_DEAL", "daysOnSite": 12, "isNewlyListed": false, "isReducedPrice": true, "bodyStyle": "Sedan", "doors": 4, "engine": "4-Cylinder", "transmission": "Automatic", "driveType": "FWD", "fuelType": "Gasoline", "mpgCity": 28, "mpgHighway": 39, "exteriorColor": "Blueprint", "interiorColor": "Black", "stockId": "TC21X42037", "styleId": 402285, "sellerName": "Metro Toyota", "sellerPhone": "(310) 555-0147", "sellerDistance": 8.3, "imageUrl": "https://images.autotrader.com/scaler/640/480/...", "description": "One owner, clean Carfax. Navigation, sunroof, sport package.", "vhrSummary": "NO_ACCIDENTS_REPORTED,1_OWNER", "scrapedAt": "2025-01-15T14:32:07.000Z" } ``` | Field | Type | Description | |-------|------|-------------| | `listingId` | string | AutoTrader internal listing ID | | `listingUrl` | string | Full URL to the Vehicle Detail Page on autotrader.com | | `title` | string | Listing title (e.g. "Used 2021 Toyota Camry XSE") | | `vin` | string | Vehicle Identification Number | | `year` | integer | Model year | | `make` | string | Vehicle make (e.g. Toyota) | | `model` | string | Vehicle model (e.g. Camry) | | `trim` | string | Trim level (e.g. XSE, Limited) | | `listingType` | string | NEW, USED, or CERTIFIED | | `mileage` | string | Odometer reading (formatted string, e.g. "42,037") | | `price` | integer | Listing sale price in dollars | | `msrp` | integer | Manufacturer's Suggested Retail Price (new cars only) | | `kbbFairPurchasePrice` | integer | Kelley Blue Book Fair Purchase Price | | `kbbFppDelta` | integer | KBB deal delta — negative means priced below KBB (good), positive means above | | `dealRating` | string | GREAT\_DEAL, GOOD\_DEAL, FAIR\_PRICE, HIGH\_PRICE, OVERPRICED, or NOT\_RATED | | `daysOnSite` | integer | Number of days the listing has been active on AutoTrader | | `isNewlyListed` | boolean | True if the listing is newly listed | | `isReducedPrice` | boolean | True if the price has recently been reduced | | `bodyStyle` | string | Body style (e.g. Sedan, SUV, Truck) | | `doors` | integer | Number of doors | | `engine` | string | Engine description (e.g. 4-Cylinder) | | `transmission` | string | Transmission description (e.g. Automatic) | | `driveType` | string | Drive type (FWD, AWD, 4WD, RWD) | | `fuelType` | string | Fuel type (Gasoline, Hybrid, Electric) | | `mpgCity` | integer | City fuel economy in MPG | | `mpgHighway` | integer | Highway fuel economy in MPG | | `exteriorColor` | string | Exterior color name | | `interiorColor` | string | Interior color name | | `stockId` | string | Dealer stock ID | | `styleId` | integer | AutoTrader style/trim ID | | `sellerName` | string | Dealer or private seller name | | `sellerPhone` | string | Seller phone number (when visible) | | `sellerDistance` | number | Distance from search ZIP code in miles | | `imageUrl` | string | Primary listing image URL | | `description` | string | Listing description text | | `vhrSummary` | string | Vehicle History Report preview flags, comma-separated | | `scrapedAt` | string | ISO-8601 timestamp when this record was collected | *** ### 🔍 FAQ #### How do I scrape AutoTrader listings? AutoTrader Scraper handles everything. Set your ZIP code, adjust the filters, and run — it builds the search URL, reads the total listing count, and paginates through results automatically until it hits your `maxItems` cap. #### What is the KBB deal rating and how is it calculated? AutoTrader Scraper returns the raw KBB Fair Purchase Price delta (`kbbFppDelta`) and maps it to a human-readable `dealRating`. A delta of -$1,000 to -$2,500 is a GOOD\_DEAL; better than -$2,500 is GREAT\_DEAL. Positive deltas mean the asking price is above KBB market value — HIGH\_PRICE above $1,000, OVERPRICED above $2,500. #### Can I filter by make and model? Yes. Set `make` (e.g. `toyota`) and optionally `model` (e.g. `camry`). Model requires make to be set. Leave both blank to search all makes and models. Year range and max price stack on top of any make/model filter. #### How much does AutoTrader Scraper cost to run? AutoTrader Scraper uses pay-per-event pricing. You pay per listing record returned. A typical run of 100 listings costs a few cents. Exact per-event pricing is shown on the actor's Apify page before you run. #### Does AutoTrader Scraper require a browser? No browser needed. AutoTrader renders full listing data server-side in the page HTML — the scraper reads structured JSON embedded in each page without executing JavaScript. This makes it fast and memory-efficient (256 MB is enough for most runs). *** ### Need More Features? Need to scrape vehicle detail pages, additional photos, or full dealer profiles? [File an issue](https://console.apify.com/actors/issues) or get in touch. ### Why Use AutoTrader Scraper? - **KBB deal ratings included** — Returns raw KBB delta and a deal label per listing, so price comparison is built in rather than bolted on after the fact - **No browser, low cost** — Reads server-rendered JSON embedded in AutoTrader's pages, so runs finish fast on minimal memory and you're not paying for Puppeteer overhead on a dataset that doesn't need it - **35+ fields per listing** — VIN, trim, engine, transmission, fuel type, color, seller contact, vehicle history preview, and days on site; most AutoTrader scrapers return price and mileage and call it done # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `listingType` (type: `string`): Type of listings to search: all-cars, new-cars, used-cars, or certified-cars. ## `zip` (type: `string`): ZIP code to search near. Required — determines the geographic center of the search. ## `searchRadius` (type: `integer`): Search radius in miles from the ZIP code. ## `make` (type: `string`): Vehicle make to filter by (e.g. toyota, ford, honda). Leave blank to search all makes. ## `model` (type: `string`): Vehicle model to filter by (e.g. camry, f-150). Requires make to be set. Leave blank to search all models. ## `minYear` (type: `integer`): Minimum model year (inclusive). Leave blank for no lower bound. ## `maxYear` (type: `integer`): Maximum model year (inclusive). Leave blank for no upper bound. ## `maxPrice` (type: `integer`): Maximum listing price in dollars. Leave blank for no limit. ## `maxItems` (type: `integer`): Maximum number of listings to scrape. Defaults to 100. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "listingType": "all-cars", "zip": "10001", "searchRadius": 100, "maxItems": 10 } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "listingType": "all-cars", "zip": "10001", "searchRadius": 100, "make": "", "model": "", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/autotrader-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "listingType": "all-cars", "zip": "10001", "searchRadius": 100, "make": "", "model": "", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/autotrader-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "listingType": "all-cars", "zip": "10001", "searchRadius": 100, "make": "", "model": "", "maxItems": 10 }' | apify call jungle_synthesizer/autotrader-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/autotrader-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "AutoTrader Scraper", "description": "Collect car listings from AutoTrader.com. Search by ZIP code, radius, listing type, make, model, year range, and price. Returns price, mileage, VIN, KBB deal rating, seller info, specs, and photo URLs. Export as JSON, CSV, or Excel.", "version": "0.1", "x-build-id": "8uXaa6W87DZMGTd2Y" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~autotrader-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-autotrader-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~autotrader-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-autotrader-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~autotrader-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-autotrader-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "zip", "maxItems" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "listingType": { "title": "Listing Type", "enum": [ "all-cars", "new-cars", "used-cars", "certified-cars" ], "type": "string", "description": "Type of listings to search: all-cars, new-cars, used-cars, or certified-cars.", "default": "all-cars" }, "zip": { "title": "ZIP Code", "type": "string", "description": "ZIP code to search near. Required — determines the geographic center of the search." }, "searchRadius": { "title": "Search Radius (miles)", "type": "integer", "description": "Search radius in miles from the ZIP code.", "default": 100 }, "make": { "title": "Make", "type": "string", "description": "Vehicle make to filter by (e.g. toyota, ford, honda). Leave blank to search all makes." }, "model": { "title": "Model", "type": "string", "description": "Vehicle model to filter by (e.g. camry, f-150). Requires make to be set. Leave blank to search all models." }, "minYear": { "title": "Min Year", "type": "integer", "description": "Minimum model year (inclusive). Leave blank for no lower bound." }, "maxYear": { "title": "Max Year", "type": "integer", "description": "Maximum model year (inclusive). Leave blank for no upper bound." }, "maxPrice": { "title": "Max Price ($)", "type": "integer", "description": "Maximum listing price in dollars. Leave blank for no limit." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of listings to scrape. Defaults to 100.", "default": 100 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```