# ClassicCars.com Scraper - Collector Vehicles (`lulzasaur/classiccars-scraper`) Actor Scrape classic and collector car listings from ClassicCars.com. Extract prices, specs, VIN, mileage, dealer info, images, and vehicle details. Search by make, model, year range, and price range. - **URL**: https://apify.com/lulzasaur/classiccars-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## ClassicCars.com Scraper Scrape classic and collector car listings from [ClassicCars.com](https://classiccars.com). Extract prices, vehicle specs, VIN numbers, mileage, dealer information, images, and full vehicle details. ### Features - **Search mode** — Browse listings by make, model, year range, and price range - **Details mode** — Scrape complete data from a specific listing URL - **Rich structured data** — Extracts from JSON-LD schema.org blocks and HTML spec tables - **Vehicle specs** — Year, make, model, price, mileage, VIN, transmission, engine, colors, body type - **Dealer info** — Dealer name and location - **Images** — Full gallery image URLs - **Pagination** — Automatically follows pages up to your limit ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | string | `search` (browse listings) or `details` (single listing) | | `make` | string | Vehicle manufacturer (e.g., Ford, Chevrolet, Porsche) | | `model` | string | Vehicle model (e.g., Mustang, Corvette, 911) | | `yearFrom` | integer | Start of year range (e.g., 1965) | | `yearTo` | integer | End of year range (e.g., 1970) | | `priceMin` | integer | Minimum price in USD | | `priceMax` | integer | Maximum price in USD | | `listingUrl` | string | Direct listing URL (for details mode) | | `limit` | integer | Max results to return (default: 50, 0 = unlimited) | | `proxyConfiguration` | object | Proxy settings for large runs | ### Example Input (Search) ```json { "mode": "search", "make": "Ford", "model": "Mustang", "yearFrom": 1965, "yearTo": 1970, "priceMax": 50000, "limit": 25 } ```` ### Example Input (Details) ```json { "mode": "details", "listingUrl": "https://www.classiccars.com/listings/view/2066945/1966-ford-mustang-for-sale-in-sherman-texas-75092" } ``` ### Output Each listing in the dataset contains: | Field | Description | |-------|-------------| | `title` | Full listing title (e.g., "1966 Ford Mustang") | | `year` | Model year | | `make` | Manufacturer | | `model` | Model name | | `price` | Asking price in USD | | `currency` | Price currency (USD) | | `mileage` | Odometer reading | | `vin` | Vehicle Identification Number | | `location` | City, State | | `dealer` | Dealer name | | `transmission` | Transmission type | | `engine` | Engine size/type | | `exteriorColor` | Exterior color | | `interiorColor` | Interior color | | `bodyType` | Body style | | `titleStatus` | Title status (Clear, Salvage, etc.) | | `stockNumber` | Dealer stock number | | `listingId` | ClassicCars.com listing ID (CC-XXXXXXX) | | `description` | Full vehicle description | | `images` | Array of image URLs (details mode) | | `imageUrl` | Thumbnail image URL | | `listingUrl` | Direct link to the listing | | `scrapedAt` | ISO timestamp of when data was scraped | ### Use Cases - **Market research** — Track classic car prices by make, model, and year - **Price monitoring** — Watch asking prices for specific vehicles - **Inventory analysis** — Analyze dealer inventory and pricing patterns - **Investment research** — Identify undervalued collector cars - **Appraisal data** — Gather comparable sales data for valuations - **Trend analysis** — Monitor classic car market trends over time ### Notes - Search mode uses 60 results per page for efficiency - The scraper respects rate limits with built-in delays between requests - JSON-LD structured data provides the richest data on detail pages - Some listings show "Contact Seller" instead of a price (price will be null) - Proxy is recommended for scraping more than 100 listings # Actor input Schema ## `mode` (type: `string`): Scraping mode: 'search' to browse listings by make/model/year/price, or 'details' to scrape a specific listing URL. ## `make` (type: `string`): Vehicle manufacturer (e.g., 'Ford', 'Chevrolet', 'Porsche', 'Jaguar'). Leave empty to search all makes. ## `model` (type: `string`): Vehicle model (e.g., 'Mustang', 'Corvette', '911', 'E-Type'). Leave empty to search all models. ## `yearFrom` (type: `integer`): Start of year range filter (e.g., 1965). Leave empty for no lower bound. ## `yearTo` (type: `integer`): End of year range filter (e.g., 1970). Leave empty for no upper bound. ## `priceMin` (type: `integer`): Minimum asking price filter in USD. ## `priceMax` (type: `integer`): Maximum asking price filter in USD. ## `listingUrl` (type: `string`): Direct URL to a ClassicCars.com listing (for 'details' mode). Example: https://www.classiccars.com/listings/view/2066945/1966-ford-mustang-for-sale-in-sherman-texas-75092 ## `limit` (type: `integer`): Maximum number of listings to scrape. Set to 0 for unlimited. Default is 50. ## `proxyConfiguration` (type: `object`): Proxy settings for avoiding rate limiting on large scrapes. ## Actor input object example ```json { "mode": "search", "limit": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/classiccars-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 = {} # Run the Actor and wait for it to finish run = client.actor("lulzasaur/classiccars-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 '{}' | apify call lulzasaur/classiccars-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/classiccars-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ClassicCars.com Scraper - Collector Vehicles", "description": "Scrape classic and collector car listings from ClassicCars.com. Extract prices, specs, VIN, mileage, dealer info, images, and vehicle details. Search by make, model, year range, and price range.", "version": "1.0", "x-build-id": "hgFQAs24aOFX3e2ah" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~classiccars-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-classiccars-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~classiccars-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-classiccars-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~classiccars-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-classiccars-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "mode": { "title": "Mode", "enum": [ "search", "details" ], "type": "string", "description": "Scraping mode: 'search' to browse listings by make/model/year/price, or 'details' to scrape a specific listing URL.", "default": "search" }, "make": { "title": "Make", "type": "string", "description": "Vehicle manufacturer (e.g., 'Ford', 'Chevrolet', 'Porsche', 'Jaguar'). Leave empty to search all makes." }, "model": { "title": "Model", "type": "string", "description": "Vehicle model (e.g., 'Mustang', 'Corvette', '911', 'E-Type'). Leave empty to search all models." }, "yearFrom": { "title": "Year From", "minimum": 1900, "maximum": 2030, "type": "integer", "description": "Start of year range filter (e.g., 1965). Leave empty for no lower bound." }, "yearTo": { "title": "Year To", "minimum": 1900, "maximum": 2030, "type": "integer", "description": "End of year range filter (e.g., 1970). Leave empty for no upper bound." }, "priceMin": { "title": "Min Price ($)", "minimum": 0, "type": "integer", "description": "Minimum asking price filter in USD." }, "priceMax": { "title": "Max Price ($)", "minimum": 0, "type": "integer", "description": "Maximum asking price filter in USD." }, "listingUrl": { "title": "Listing URL", "type": "string", "description": "Direct URL to a ClassicCars.com listing (for 'details' mode). Example: https://www.classiccars.com/listings/view/2066945/1966-ford-mustang-for-sale-in-sherman-texas-75092" }, "limit": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of listings to scrape. Set to 0 for unlimited. Default is 50.", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for avoiding rate limiting on large scrapes.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```