# MachineSeeker Scraper — Global Used Machinery (`scrappinglatam/machineseeker-scraper`) Actor Extract used machinery listings from MachineSeeker.com. Supports 41 equipment categories with make, year and country filters. Captures price, year, hours, location and specs. - **URL**: https://apify.com/scrappinglatam/machineseeker-scraper.md - **Developed by:** [ScrappingLatam](https://apify.com/scrappinglatam) (community) - **Categories:** E-commerce, Automation - **Stats:** 3 total users, 0 monthly users, 100.0% 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 ## MachineSeeker Scraper Scrape used machinery listings from **[MachineSeeker.com](https://www.machineseeker.com)** — one of the world's largest used machinery marketplaces with 200,000+ listings across 41 categories and 8,100+ professional sellers. ### What it collects | Field | Description | |---|---| | `ad_id` | Unique listing ID from MachineSeeker | | `title` | Full machine title | | `make` | Manufacturer / brand | | `model` | Machine model | | `year_int` | Year of construction | | `price_clean` | Price as integer (null if "Price info") | | `currency` | EUR / USD / GBP | | `hours_int` | Operating hours | | `condition_std` | `used` / `new` / `refurbished` | | `country_iso` | ISO 3166-1 alpha-2 country code | | `location` | City or region | | `seller` | Seller name | | `category` | MachineSeeker category label | | `image_url` | Main listing image URL | | `url` | Full listing URL | | `source` | Always `machineseeker` | | `scraped_at` | ISO 8601 timestamp | ### Input ```json { "categories": ["ci-8", "ci-42", "ci-4"], "maxPages": 0, "maxItems": 5000 } ```` #### Category reference | ID | Category | Listings | |---|---|---| | `ci-2` | Metal working machinery & machine tools | ~33k | | `ci-3` | Woodworking machinery | ~12k | | `ci-4` | Agricultural machinery | ~9k | | `ci-5` | Industrial automation technology | ~9k | | `ci-7` | Commercial vehicles | ~28k | | `ci-8` | Construction machinery | ~8k | | `ci-9` | Food processing machinery | ~7k | | `ci-10` | Material handling | ~4k | | `ci-13` | Packaging machinery | ~2k | | `ci-14` | Plastic processing machinery | ~3k | | `ci-16` | Printing machinery | ~4k | | `ci-41` | Air compressors & pneumatic equipment | ~1k | | `ci-42` | Forklifts & industrial trucks | ~9k | Full list of 41 categories available in the input schema description. ### Technical notes - **Method:** requests + BeautifulSoup (SSR HTML — no JavaScript required) - **Anti-bot:** reCAPTCHA v3 (passive scoring only — no interactive challenges) - **Proxy:** Not required for standard runs; optional residential proxy available as input - **Rate:** ~20 listings/page, 1.5–3.5s delay between pages - **Throughput:** ~500–1000 listings/min depending on category size ### Pricing - $0.40 actor start + $0.005 per result # Actor input Schema ## `categories` (type: `array`): Category IDs to scrape (ci-XX format). Default: ci-8 (Construction machinery). Common IDs: ci-8 Construction, ci-42 Forklifts, ci-4 Agricultural, ci-7 Commercial vehicles, ci-10 Material handling, ci-5 Automation, ci-2 Metal working. Full list at machineseeker.com. Add multiple IDs for broader coverage. ## `maxPages` (type: `integer`): Maximum pages per category (~20 listings/page). Set to 0 for all pages. Default: 5. ## `maxItems` (type: `integer`): Maximum total listings to collect across all categories. ## `proxyConfiguration` (type: `object`): Optional proxy. MachineSeeker does not use DataDome — standard datacenter proxies are usually sufficient. Use residential if you encounter blocks. ## Actor input object example ```json { "categories": [ "ci-8" ], "maxPages": 5, "maxItems": 100 } ``` # Actor output Schema ## `results` (type: `string`): Dataset containing all scraped listings # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("scrappinglatam/machineseeker-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("scrappinglatam/machineseeker-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 scrappinglatam/machineseeker-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrappinglatam/machineseeker-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "MachineSeeker Scraper — Global Used Machinery", "description": "Extract used machinery listings from MachineSeeker.com. Supports 41 equipment categories with make, year and country filters. Captures price, year, hours, location and specs.", "version": "0.1", "x-build-id": "0cpX3CggyBtDjdhoa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrappinglatam~machineseeker-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrappinglatam-machineseeker-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrappinglatam~machineseeker-scraper/runs": { "post": { "operationId": "runs-sync-scrappinglatam-machineseeker-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrappinglatam~machineseeker-scraper/run-sync": { "post": { "operationId": "run-sync-scrappinglatam-machineseeker-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "categories": { "title": "Categories", "type": "array", "description": "Category IDs to scrape (ci-XX format). Default: ci-8 (Construction machinery). Common IDs: ci-8 Construction, ci-42 Forklifts, ci-4 Agricultural, ci-7 Commercial vehicles, ci-10 Material handling, ci-5 Automation, ci-2 Metal working. Full list at machineseeker.com. Add multiple IDs for broader coverage.", "default": [ "ci-8" ], "items": { "type": "string" } }, "maxPages": { "title": "Max Pages per Category", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Maximum pages per category (~20 listings/page). Set to 0 for all pages. Default: 5.", "default": 5 }, "maxItems": { "title": "Max Total Items", "minimum": 1, "maximum": 250000, "type": "integer", "description": "Maximum total listings to collect across all categories.", "default": 100 }, "proxyConfiguration": { "title": "Proxy (optional)", "type": "object", "description": "Optional proxy. MachineSeeker does not use DataDome — standard datacenter proxies are usually sufficient. Use residential if you encounter blocks." } } }, "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 } } } } } } } } } } ```