# Heavy Equipment & Machinery For Sale Scraper (`scrapers_lat/machinery-trader-equipment-scraper`) Actor
Scrape heavy and construction equipment listings: excavators, dozers, loaders, cranes, tractors and trucks. Get make, model, year, price, hours, category, location and the selling dealer's name and phone. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/machinery-trader-equipment-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** E-commerce, Lead generation, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $17.00 / 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.
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/docs.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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
## Heavy Equipment & Machinery For Sale Scraper - Make, Model, Price & Dealer Leads
> Pull heavy and construction equipment listings at scale: excavators, dozers, wheel loaders, cranes, tractors and trucks. Each record includes make, model, year, price, hours, category, location and the selling dealer's name and phone, so you get clean market data and high-ticket dealer leads in one export.
**📥 [Input](https://apify.com/scrapers_lat/machinery-trader-equipment-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/machinery-trader-equipment-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/machinery-trader-equipment-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/machinery-trader-equipment-scraper/examples)**
Make · model · year price & hours
Dealer name & phone high-ticket leads
JSON / CSV / Excel output formats
### What you get
Each record is one equipment listing, ready for a CRM, a pricing model or a spreadsheet:
- **title**, **make**, **model**, **year**: what the machine is
- **category** and **catalog**: equipment type (for example crawler excavators) and its family
- **priceAmount**, **priceCurrency**, **priceEur**: asking price in the listed currency and in euros (null when price is on request)
- **hours**, **meterReading**, **meterUnit**: usage on the machine
- **condition** and **listingType**: used, auction, rental or marketplace
- **locationCity**, **locationCountry**: where the machine is
- **dealerName**, **dealerPhone**, **dealerCountry**, **dealerUrl**: the selling dealer contact, your lead
- **listingUrl**, **imageUrl**, **imageCount**: direct link and photos
- **listedDate**, **productId**: freshness and a stable id
- **searchQuery**, **source**, **observedAt**: which search produced it and when
Empty and failed runs are never charged, and duplicate listings are removed within a run.
### Who is it for
| Use case | Who benefits |
|---|---|
| Dealer lead generation | Sellers of parts, finance, insurance and transport reaching equipment dealers |
| Price and market research | Analysts tracking asking prices, hours and inventory by make and model |
| Sourcing and resale | Buyers and traders finding machines and their sellers fast |
| Dashboards | Builders feeding equipment inventory into their own apps |
### How to use it
1. Add one or more **search queries** (for example `excavator`, `bulldozer`, `wheel loader`, or a make and model like `cat 320`).
2. Set **Max Listings To Scrape**.
3. Run it. Export as JSON, CSV or Excel, or pull the results through the Apify API.
### Frequently Asked Questions
**Do I get the dealer's contact details?**
Yes. Each listing includes the selling dealer's name and phone number where the seller has published them, plus a link to the dealer profile.
**Why is the price sometimes empty?**
Some listings are advertised as price on request. In that case the price fields are null and the rest of the machine details are still captured.
**Can I search several equipment types at once?**
Yes. Add multiple search queries and each is searched separately in the same run. Every record is tagged with the query that produced it.
**How fresh is the data?**
Listings are read live at run time, so each record reflects what is published at the moment of the run (see observedAt).
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool with no affiliation with any equipment marketplace. It only accesses publicly available listing data. Use the results in accordance with the source's terms.
# Actor input Schema
## `searchQueries` (type: `array`):
One or more equipment searches to run in a single run, for example "excavator", "bulldozer", "wheel loader", "crane" or a make and model like "cat 320". Each query is searched separately and every listing is tagged with the query that produced it.
## `maxListings` (type: `integer`):
Maximum number of equipment listings to collect across all searches. Empty and failed runs are never charged.
## Actor input object example
```json
{
"searchQueries": [
"excavator",
"bulldozer"
],
"maxListings": 30
}
````
# 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 = {
"searchQueries": [
"excavator",
"bulldozer"
],
"maxListings": 30
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/machinery-trader-equipment-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 = {
"searchQueries": [
"excavator",
"bulldozer",
],
"maxListings": 30,
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/machinery-trader-equipment-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 '{
"searchQueries": [
"excavator",
"bulldozer"
],
"maxListings": 30
}' |
apify call scrapers_lat/machinery-trader-equipment-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/machinery-trader-equipment-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Heavy Equipment & Machinery For Sale Scraper",
"description": "Scrape heavy and construction equipment listings: excavators, dozers, loaders, cranes, tractors and trucks. Get make, model, year, price, hours, category, location and the selling dealer's name and phone. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "uzWbabSn25PVZquEp"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~machinery-trader-equipment-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-machinery-trader-equipment-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~machinery-trader-equipment-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-machinery-trader-equipment-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~machinery-trader-equipment-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-machinery-trader-equipment-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"searchQueries": {
"title": "Search Queries",
"type": "array",
"description": "One or more equipment searches to run in a single run, for example \"excavator\", \"bulldozer\", \"wheel loader\", \"crane\" or a make and model like \"cat 320\". Each query is searched separately and every listing is tagged with the query that produced it.",
"items": {
"type": "string"
}
},
"maxListings": {
"title": "Max Listings To Scrape",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of equipment listings to collect across all searches. Empty and failed runs are never charged."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```