# TractorHouse Farm Equipment Scraper - Tractors & Dealer Leads (`scrapers_lat/tractorhouse-equipment-scraper`) Actor

Scrape used farm & ag equipment: tractors, combines, planters, hay tools. Get make, model, year, price, hours, location + dealer name & phone. Export JSON, CSV or Excel.

- **URL**: https://apify.com/scrapers\_lat/tractorhouse-equipment-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** E-commerce, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $17.00 / 1,000 listings

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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## TractorHouse Farm Equipment Scraper 🚜

> Turn TractorHouse into a clean, structured feed of used farm & agricultural equipment for sale — every tractor, combine, planter and hay tool with the selling **dealer's name and phone number** attached.

**📥 [Input](https://apify.com/scrapers_lat/tractorhouse-equipment-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/tractorhouse-equipment-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/tractorhouse-equipment-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/tractorhouse-equipment-scraper/examples)**

### What you get

Each record is one equipment listing, flattened for clean CSV/Excel columns:

- **Equipment:** title, make/manufacturer, model, year, category, condition
- **Pricing:** asking price + currency
- **Usage & specs:** hours/meter reading, serial number/VIN, full spec table (with details on)
- **Location:** city, state, country, postal code
- **Dealer lead:** dealer/seller name, phone number, website and full contact (with details on)
- **Media & links:** primary photo, all gallery photos (with details on), listing URL, listing id
- Short description preview and the search term that produced the row

Turn on **Fetch Full Details** to open each listing and add the serial/VIN, the complete spec sheet, every photo and the full dealer contact block.

### Who is it for

- Equipment dealers and brokers building **buyer/seller lead lists**
- Auction houses and remarketers tracking pricing and inventory
- Ag lenders, insurers and appraisers benchmarking values
- Analysts monitoring make/model supply, hours and regional pricing

### How to use it

1. Enter one or more **search terms** (e.g. `tractors`, `combines`, `planters`, `John Deere 8R`).
2. Optionally narrow by make, model, year, price, hours, state, condition or listing type.
3. Set how many listings to collect, and toggle **Fetch Full Details** for the deep record.
4. Run it, then export to **JSON, CSV or Excel** or pull via API.

### Good to know

- Only real, matched listings are billed — an empty or failed run charges nothing.
- Anti-bot handling, proxies and rendering are all handled for you. No login, cookies or keys required.
- Records are deduplicated by listing id and streamed as they are found, so long runs never lose data.

### FAQ

**Where does the data come from?** Public listing pages on TractorHouse — the same data any visitor can see, delivered structured.

**Do I get the dealer's phone?** Yes — the selling dealer/seller name and phone are captured on every listing where the site shows them.

**Is this affiliated with TractorHouse?** No. This is an independent tool that structures publicly available listing data. All trademarks belong to their owners.

# Actor input Schema

## `searchQueries` (type: `array`):

Equipment types or keywords to search, e.g. "tractors", "combines", "planters", "hay balers", "John Deere 8R". One run does every search in the list.

## `make` (type: `string`):

Only listings from this manufacturer, e.g. John Deere, Case IH, New Holland, Kubota, Massey Ferguson.

## `model` (type: `string`):

Only listings matching this model, e.g. 8R 340.

## `yearMin` (type: `integer`):

Earliest manufacture year.

## `yearMax` (type: `integer`):

Latest manufacture year.

## `priceMin` (type: `integer`):

Lowest asking price.

## `priceMax` (type: `integer`):

Highest asking price.

## `hoursMax` (type: `integer`):

Maximum engine/meter hours.

## `state` (type: `string`):

Only equipment located in this US state, e.g. Iowa, Texas, Nebraska.

## `condition` (type: `string`):

Filter by condition.

## `listingType` (type: `string`):

Retail sale or auction listings.

## `scrapeDetails` (type: `boolean`):

When on, opens each listing to add the serial/VIN, full spec table, every photo and the complete dealer contact. Adds the per-listing details add-on to the cost. Off = fast listing-only records.

## `maxListings` (type: `integer`):

Maximum number of listings to return across all searches.

## Actor input object example

```json
{
  "searchQueries": [
    "tractors"
  ],
  "condition": "",
  "listingType": "",
  "scrapeDetails": false,
  "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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQueries": [
        "tractors"
    ],
    "maxListings": 30
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/tractorhouse-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQueries": ["tractors"],
    "maxListings": 30,
}

# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/tractorhouse-equipment-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": [
    "tractors"
  ],
  "maxListings": 30
}' |
apify call scrapers_lat/tractorhouse-equipment-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapers_lat/tractorhouse-equipment-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/4WtaJgmcsL42YtnQ3/builds/bcegNtnYD3qqJi1Mo/openapi.json