# RitchieSpecs Scraper — OEM Equipment Specs (`scrappinglatam/ritchiespecs-scraper`) Actor Extract OEM technical specifications from RitchieSpecs.com across 15 equipment categories. Captures full spec sheets: dimensions, engine, capacity, weights and performance data. - **URL**: https://apify.com/scrappinglatam/ritchiespecs-scraper.md - **Developed by:** [ScrappingLatam](https://apify.com/scrappinglatam) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## RitchieSpecs Scraper — OEM Equipment Specifications Collect official manufacturer specifications for heavy equipment models from RitchieSpecs.com, the industry-standard reference database with over 100,000 equipment models on record. **Publisher:** Rastriq · [apify.com/rastriq](https://apify.com/rastriq) ### What you can do with it - Enrich used equipment listings with accurate OEM specs for weight, power, and dimensions - Build a reference database for equipment appraisal, insurance, or financing workflows - Compare specifications across makes and models when advising procurement decisions - Validate seller-provided specs against the official manufacturer data - Support AI or machine learning models that need structured equipment attributes > This is a specifications database, not a listings marketplace — ideal for enriching your own equipment datasets with accurate manufacturer data. ### Filters | Filter | What it does | |---|---| | Make | Limit results to a specific manufacturer | | Category | Focus on a specific equipment type (e.g. excavators, forklifts) | | Max Items | Set a cap on the total number of spec sheets to collect | ### What you get | Field | What it contains | |---|---| | make | Manufacturer name | | model | Model name | | year_from | First year this model was produced | | year_to | Last year this model was produced (if discontinued) | | category | Equipment category | | subcategory | More specific equipment type | | weight_kg | Operating weight in kilograms | | engine_make | Engine manufacturer | | engine_model | Engine model designation | | engine_power_kw | Engine power in kilowatts | | operating_capacity_kg | Rated operating capacity in kilograms | | max_lifting_height_mm | Maximum lift height in millimetres | | length_mm | Overall length in millimetres | | width_mm | Overall width in millimetres | | height_mm | Overall height in millimetres | | url | Direct link to the spec sheet on RitchieSpecs | | scraped_at | Date and time the data was collected | ### Pricing **$12.00 per 1,000 results. First 500 results free.** ### Legal This scraper collects publicly available specification data only. Use responsibly and for market research or reference purposes. Not affiliated with RitchieSpecs or Ritchie Bros. **contact@rastriq.com** # Actor input Schema ## `make` (type: `string`): Filter by manufacturer — e.g. caterpillar, komatsu, volvo, john-deere. Leave blank for all brands. ## `category` (type: `string`): Filter by equipment type slug — e.g. hydraulic-excavator, wheel-loader, crawler-tractor. Leave blank for all categories. ## `units` (type: `string`): Unit system for the output values. Metric converts all measurements to SI units (kg, kW, m, L, etc.). ## `maxItems` (type: `integer`): Maximum number of model specification records to collect. ## `proxyConfiguration` (type: `object`): Proxy settings. RitchieSpecs is generally accessible without proxy. ## Actor input object example ```json { "make": "", "category": "", "units": "metric", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true } } ```` # Actor output Schema ## `results` (type: `string`): Dataset containing all scraped listings # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("scrappinglatam/ritchiespecs-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "proxyConfiguration": { "useApifyProxy": True } } # Run the Actor and wait for it to finish run = client.actor("scrappinglatam/ritchiespecs-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 '{ "proxyConfiguration": { "useApifyProxy": true } }' | apify call scrappinglatam/ritchiespecs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrappinglatam/ritchiespecs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "RitchieSpecs Scraper — OEM Equipment Specs", "description": "Extract OEM technical specifications from RitchieSpecs.com across 15 equipment categories. Captures full spec sheets: dimensions, engine, capacity, weights and performance data.", "version": "0.1", "x-build-id": "bFxU3QeqDTfPFxWaz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrappinglatam~ritchiespecs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrappinglatam-ritchiespecs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrappinglatam~ritchiespecs-scraper/runs": { "post": { "operationId": "runs-sync-scrappinglatam-ritchiespecs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrappinglatam~ritchiespecs-scraper/run-sync": { "post": { "operationId": "run-sync-scrappinglatam-ritchiespecs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "make": { "title": "Make (Brand)", "type": "string", "description": "Filter by manufacturer — e.g. caterpillar, komatsu, volvo, john-deere. Leave blank for all brands.", "default": "" }, "category": { "title": "Equipment Category", "type": "string", "description": "Filter by equipment type slug — e.g. hydraulic-excavator, wheel-loader, crawler-tractor. Leave blank for all categories.", "default": "" }, "units": { "title": "Units", "enum": [ "imperial", "metric" ], "type": "string", "description": "Unit system for the output values. Metric converts all measurements to SI units (kg, kW, m, L, etc.).", "default": "metric" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 20000, "type": "integer", "description": "Maximum number of model specification records to collect.", "default": 100 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy settings. RitchieSpecs is generally accessible without proxy." } } }, "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 } } } } } } } } } } ```