TractorHouse - Farm Equipment Scraper

Overview

Scrape farm and construction equipment listings from TractorHouse. com including tractors, combines, harvesters, planters, and more. Extract prices, specs, seller info, and location data.

Features

• Search by keywords to find specific results
• Export data in JSON, CSV, or Excel formats
• Captures pricing information
• Includes location and address data
• Supports direct URL input for targeted scraping
• Control output volume with configurable result limits

Use Cases

• Monitor - Monitor vehicle listings and pricing trends
• Build - Build automotive market intelligence databases
• Track - Track dealer inventory and pricing strategies
• Aggregate - Aggregate vehicle data for comparison platforms

Input Parameters

Parameter	Type	Description	Default
startUrls	array	TractorHouse listing URLs, including any filters in the query string (see below). Default scrapes all farm equipment for sale.	[...]
maxItems	integer	Maximum number of equipment listings to scrape	10
maxPages	integer	Maximum number of pages to scrape per start URL	10
scrapeDetails	boolean	Also open each listing's detail page for the full spec sheet (horsepower, drive, transmission, serial/stock number, description, all photos). Slower.	false
proxyConfiguration	object	Proxy configuration. RESIDENTIAL proxies are required; the site sits behind Cloudflare.	{...}

Filtering by manufacturer, category, price, etc.

Build the search on tractorhouse.com, then paste the resulting URL as a start URL. Every query parameter is kept across all pages, for example:

https://www.tractorhouse.com/listings/farm-equipment/for-sale?Manufacturer=JOHN+DEERE&Category=1100

Rows whose title does not contain the Manufacturer value are dropped and not charged. Common category codes: 1100 tractors, 1101 harvesters, 1102 harvest equipment, 1103 planting, 1104 tillage, 1105 hay and forage, 1106 chemical applicators/sprayers.

Output Example

Each result contains structured data like this:

{
  "listingId": "251812601",
  "title": "2014 JOHN DEERE 6175R",
  "year": 2014,
  "make": "JOHN DEERE",
  "model": "6175R",
  "category": "175 HP to 299 HP Tractors",
  "price": 95000,
  "priceText": "USD $95,000",
  "hours": 3347,
  "horsepower": 175,
  "drive": "4WD",
  "transmission": "Power Quad",
  "location": "Lebanon, Pennsylvania",
  "seller": "MGD Tractor and Equipment",
  "sellerType": "dealer",
  "phone": "+17178662585",
  "listingUrl": "https://www.tractorhouse.com/listing/for-sale/251812601/...",
  "specs": { "Hours": "3,347", "Rear PTO": "Yes", "Engine Horsepower": "175 HP" }
}

With scrapeDetails: true each row also carries fullDescription, serialNumber, stockNumber, condition, images and the complete detail-page specs. Auction listings link to auctiontime.com and have no TractorHouse detail page, so they are returned with listing-card data only.

Pricing

This actor uses pay-per-result pricing:

• $0.05 per run start
• $0.01 per result
• $10.00 per 1,000 results

No monthly fees. You only pay for what you scrape. Apify Free plan includes $5/month in platform credits.

How to Run

Apify Console

1. Go to the TractorHouse - Farm Equipment Scraper actor page
2. Configure your input parameters
3. Click Start and wait for the results
4. Download data in JSON, CSV, or Excel format

API

curl -X POST "https://api.apify.com/v2/acts/fortuitous_pirate~tractorhouse-scraper/runs?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"maxItems": 10}'

Python SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("fortuitous_pirate/tractorhouse-scraper").call(
    run_input={"maxItems": 10}
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

Integration

Connect TractorHouse - Farm Equipment Scraper with your existing tools and workflows:

• API access - Programmatic access via Apify API
• Webhooks - Get notified when scraping completes
• Scheduling - Set up recurring runs on any schedule
• Zapier / Make - Connect with 5,000+ apps via Apify integrations
• Python / Node.js SDKs - Native client libraries for easy integration