# RockAndDirt Scraper - Used Heavy Equipment Listings (`lulzasaur/rockanddirt-scraper`) Actor Scrape used heavy equipment listings from RockAndDirt.com. Get prices, make, model, year, hours, condition, category, dealer, and location. Filter by search keyword, category, or make. Excavators, dozers, loaders, cranes and more. - **URL**: https://apify.com/lulzasaur/rockanddirt-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 ## RockAndDirt Scraper - Used Heavy Equipment Listings Scrape used heavy equipment listings from [RockAndDirt.com](https://www.rockanddirt.com), one of the largest used construction & heavy equipment marketplaces with 400,000+ listings. Get detailed equipment data including prices, make, model, year, hours, condition, dealer, and location. ### Features - **Rich equipment data** — make, model, year, price, hours, condition, category, equipment class - **Dealer info** — dealer name, phone number, seller type - **Location data** — city, region, country - **Flexible filtering** — search by keyword, equipment category, or manufacturer - **Robust parsing** — reads structured data from the page's `__NEXT_DATA__` JSON (resilient to layout changes) - **Pagination** — automatically pages through results up to your `maxResults` limit ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `search` | string | | Free-form search term (e.g. excavator, caterpillar 320). Leave empty for all listings | | `category` | string | | Equipment category (e.g. Excavators, Dozers, Wheel Loaders, Cranes) | | `make` | string | | Manufacturer (e.g. Caterpillar, Komatsu, John Deere, Volvo) | | `maxResults` | integer | 50 | Maximum number of listings to return (~20 per page) | | `proxyConfiguration` | object | | Optional proxy configuration | #### Example Input ```json { "category": "Excavators", "make": "Caterpillar", "maxResults": 100 } ```` ### Output Each listing is returned with the following fields: | Field | Description | |-------|-------------| | `listingId` | RockAndDirt listing ID | | `make` | Manufacturer (e.g. CATERPILLAR) | | `model` | Model (e.g. 374) | | `year` | Model year | | `price` | Asking price (number) | | `priceCurrency` | Currency code (e.g. USD) | | `hours` | Operating hours (parsed from description, when present) | | `condition` | Condition (e.g. used) | | `category` | Equipment category (e.g. Excavators) | | `type` | Type (e.g. Equipment) | | `class` | Equipment class (e.g. INDUSTRIAL, EARTHMOVING) | | `title` | Full listing title | | `sellerType` | Seller type (e.g. dealerships) | | `dealer` | Dealer / seller name | | `dealerPhone` | Contact phone number | | `city`, `region`, `location` | Location details | | `isAuction` | Whether the listing is an auction | | `listingUrl` | Full URL to the listing | | `imageUrl` | Thumbnail image URL | | `scrapedAt` | ISO timestamp of when the data was scraped | #### Example Output ```json { "listingId": 29066878, "make": "CATERPILLAR", "model": "374", "year": 2022, "price": 595000, "priceCurrency": "USD", "hours": null, "condition": "used", "category": "Excavators", "type": "Equipment", "class": "INDUSTRIAL", "title": "2022 CATERPILLAR 374 Excavators INDUSTRIAL", "sellerType": "dealerships", "dealer": "Trophy Tractor LLC", "dealerPhone": "9722646700", "city": "Burleson", "region": "Texas", "location": "Burleson, Texas, United States", "isAuction": false, "listingUrl": "https://www.rockanddirt.com/listings/2022-caterpillar-374-29066878", "imageUrl": "https://cdn1.boatline.com/v1/media/6a3aa3430a9cd84d290f9f87.jpg", "scrapedAt": "2026-06-24T00:00:00.000Z" } ``` ### Use Cases - **Equipment dealers** — monitor competitor pricing and inventory - **Buyers & fleet managers** — find equipment by make, model, and budget - **Market analysts** — track used heavy equipment prices and trends - **Resellers** — spot arbitrage opportunities across categories and regions ### Notes This scraper reads structured listing data embedded in each search page, making it resilient to visual/DOM changes. Use the `maxResults` parameter to control volume. For best results at scale, enable Apify Proxy. # Actor input Schema ## `search` (type: `string`): Free-form search term (e.g. excavator, caterpillar 320, john deere dozer). Leave empty to browse all listings or a specific category. ## `category` (type: `string`): Equipment category (e.g. Excavators, Dozers, Wheel Loaders, Cranes, Skid Steers, Backhoes). Leave empty for all categories. ## `make` (type: `string`): Manufacturer to narrow results (e.g. Caterpillar, Komatsu, John Deere, Volvo, Case). Leave empty for all makes. ## `maxResults` (type: `integer`): Maximum number of listings to return. Each page yields ~20 listings. ## `proxyConfiguration` (type: `object`): Optional proxy to use for requests. ## Actor input object example ```json { "search": "", "category": "", "make": "", "maxResults": 50 } ``` # 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/rockanddirt-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/rockanddirt-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/rockanddirt-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/rockanddirt-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "RockAndDirt Scraper - Used Heavy Equipment Listings", "description": "Scrape used heavy equipment listings from RockAndDirt.com. Get prices, make, model, year, hours, condition, category, dealer, and location. Filter by search keyword, category, or make. Excavators, dozers, loaders, cranes and more.", "version": "1.0", "x-build-id": "AegtzylhiMRjCdPcU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~rockanddirt-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-rockanddirt-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~rockanddirt-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-rockanddirt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~rockanddirt-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-rockanddirt-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "search": { "title": "Search Keyword", "type": "string", "description": "Free-form search term (e.g. excavator, caterpillar 320, john deere dozer). Leave empty to browse all listings or a specific category.", "default": "" }, "category": { "title": "Category", "type": "string", "description": "Equipment category (e.g. Excavators, Dozers, Wheel Loaders, Cranes, Skid Steers, Backhoes). Leave empty for all categories.", "default": "" }, "make": { "title": "Make", "type": "string", "description": "Manufacturer to narrow results (e.g. Caterpillar, Komatsu, John Deere, Volvo, Case). Leave empty for all makes.", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of listings to return. Each page yields ~20 listings.", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy to use for requests." } } }, "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 } } } } } } } } } } ```