🚜 MachineryTrader Scraper

🚀 Pull heavy machinery listings from MachineryTrader in minutes. Equipment specs, prices, dealer contacts, location, hours, year. No API key, no manual CSV wrangling.

🕒 Last updated: 2026-05-08 · 📊 30+ fields per listing · 🔍 Category, make, year, price filters · 🚫 No auth required

Pull live equipment listings from MachineryTrader, the world's largest heavy equipment marketplace covering construction, agriculture, transportation, and industrial machinery. The actor accepts a search URL or category-and-filter combination, walks the result pages, and returns one structured record per equipment listing ready for dealer prospecting, equipment valuation, fleet planning, or auction-house intelligence.

Every run fetches data live so you get the current state of MachineryTrader at run time. Records include make, model, year, hours / mileage where applicable, asking price, condition, location, full specifications, dealer contact info, image gallery, and the canonical MachineryTrader URL.

👥 Built for	🎯 Primary use cases
Equipment dealers	Track competitor pricing and inventory
Heavy machinery buyers	Search active inventory across dealers
Auction houses	Source consignment leads from active listings
Fleet managers	Plan replacement purchases by category
Valuation specialists	Build comp sets for equipment appraisals
Lenders and financiers	Validate equipment values for loans

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📋 What the MachineryTrader Scraper does

• 🚜 Equipment listings. Make, model, year, hours, condition, price.
• 🛠️ Full specifications. Category-specific specs (engine HP, lift capacity, working width, etc.).
• 📸 Image galleries. Primary photo plus the full gallery URL list.
• 📍 Location detail. Dealer city, state, ZIP code where exposed.
• 👤 Dealer contact. Dealer name, phone, address, and rating.
• 🔗 Direct URL. Back-reference to each MachineryTrader listing.

The scraper accepts either a MachineryTrader search URL (with all filters baked in) or a category code + filter combination. It walks result pages, fetches each detail page, and pushes structured records to the dataset.

💡 Why it matters: MachineryTrader has the largest US-centric heavy equipment inventory but its UI is paginated, JS-rendered, and lacks bulk export. A live, structured pull beats manual scraping for dealer intelligence, valuation work, and fleet planning.

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🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing setup, a live run, and how to pipe results into Salesforce or Airtable via Apify integrations.

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⚙️ Input

Field	Type	Name	Description
startUrl	string	Start URL	MachineryTrader search or detail page URL. Use this OR filters, not both.
maxItems	integer	Max Items	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
category	enum	Category	Equipment category (e.g. Crusher (1003), Asphalt Pavers (31509)). Optional.
make	string	Make	Manufacturer name (e.g. Caterpillar, John Deere, Komatsu).
model	string	Model	Model name or pattern.
yearMin	integer	Min Year	Lower bound on manufacturing year.
yearMax	integer	Max Year	Upper bound on manufacturing year.
priceMin	integer	Min Price	Lower bound on asking price (USD).
priceMax	integer	Max Price	Upper bound on asking price (USD).
hoursMax	integer	Max Hours	Upper bound on machine hours.

Example 1. Caterpillar excavators, 2020+, under $200K, via filters.

{
  "make": "Caterpillar",
  "category": "Excavators (1015)",
  "yearMin": 2020,
  "priceMax": 200000,
  "maxItems": 50
}

Example 2. Direct URL with custom MachineryTrader filters already applied.

{
  "startUrl": "https://www.machinerytrader.com/listings/search?Category=1015&MfrCode=CAT&Year=2020-&Price=-200000",
  "maxItems": 100
}

⚠️ Good to Know: when startUrl is set, every other filter is ignored. Use it for ad-hoc scrapes from a specific MachineryTrader filter page. The category code in parentheses (e.g. 1015) is what MachineryTrader uses internally.

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📊 Output

The dataset returns one structured record per equipment listing. Each record carries identifiers, make, model, year, price, hours, location, dealer info, image gallery, and a back-reference URL. Consume the dataset as JSON, CSV, Excel, XML, or RSS via the Apify console or API.

🧾 Schema

Field	Type	Example
🆔 listingId	string	239377131
🏷️ title	string	2022 CATERPILLAR 320 Excavator
🖼️ imageUrl	string (url)	https://images.machinerytrader.com/.../primary.jpg
🏭 make	string	Caterpillar
🚜 model	string	320
🗓️ year	number	2022
⏱️ hours	number or null	1245
💰 price	number	185000
💱 currency	string	USD
🏷️ condition	string	Used
📂 category	string	Excavators
📍 location	string	Dallas, TX
🏙️ city	string	Dallas
📍 state	string	TX
📮 zipCode	string	75201
👤 dealerName	string	Texas Equipment Co.
📞 dealerPhone	string	+1 214 555 1212
⭐ dealerRating	number or null	4.8
📐 specifications	object	{ "engineHp": 162, "operatingWeight": "44000 lbs" }
🖼️ imageGallery	array	["...1.jpg", "...2.jpg"]
📃 description	string	Like-new condition Cat 320 with 1245 hours...
🔗 listingUrl	string (url)	https://www.machinerytrader.com/listing/for-sale/239377131/...
📅 scrapedAt	ISO datetime	2026-05-08T12:00:00.000Z

📦 Sample records

1. Typical record (Caterpillar excavator)

{
  "listingId": "239377131",
  "title": "2022 CATERPILLAR 320 Excavator",
  "imageUrl": "https://images.machinerytrader.com/abc/primary.jpg",
  "make": "Caterpillar",
  "model": "320",
  "year": 2022,
  "hours": 1245,
  "price": 185000,
  "currency": "USD",
  "condition": "Used",
  "category": "Excavators",
  "location": "Dallas, TX",
  "city": "Dallas",
  "state": "TX",
  "zipCode": "75201",
  "dealerName": "Texas Equipment Co.",
  "dealerPhone": "+1 214 555 1212",
  "dealerRating": 4.8,
  "specifications": {
    "engineHp": 162,
    "operatingWeight": "44000 lbs",
    "bucketCapacity": "1.5 cy"
  },
  "imageGallery": ["https://images.machinerytrader.com/abc/1.jpg", "https://images.machinerytrader.com/abc/2.jpg"],
  "description": "Like-new condition Cat 320 with 1245 hours, fully serviced...",
  "listingUrl": "https://www.machinerytrader.com/listing/for-sale/239377131/2022-caterpillar-320-excavator",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

2. New equipment (no hours)

{
  "listingId": "240500001",
  "title": "2026 JOHN DEERE 9R 540 Tractor",
  "imageUrl": "https://images.machinerytrader.com/jd/primary.jpg",
  "make": "John Deere",
  "model": "9R 540",
  "year": 2026,
  "hours": 0,
  "price": 845000,
  "currency": "USD",
  "condition": "New",
  "category": "Tractors",
  "location": "Des Moines, IA",
  "dealerName": "John Deere Iowa",
  "dealerPhone": "+1 515 555 9876",
  "specifications": {
    "engineHp": 540,
    "transmission": "AutoPowr"
  },
  "listingUrl": "https://www.machinerytrader.com/listing/for-sale/240500001/2026-john-deere-9r-540-tractor",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

3. Sparse record (auction listing, minimal fields)

{
  "listingId": "230999888",
  "title": "Komatsu PC200LC-8 Excavator",
  "make": "Komatsu",
  "model": "PC200LC-8",
  "year": 2015,
  "price": null,
  "currency": "USD",
  "condition": "Used",
  "category": "Excavators",
  "location": "Indianapolis, IN",
  "listingUrl": "https://www.machinerytrader.com/listing/for-sale/230999888/2015-komatsu-pc200lc-8-excavator",
  "scrapedAt": "2026-05-08T12:00:00.000Z"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to MachineryTrader so you skip the parser engineering entirely.
🔖	Structured output. Clean, typed fields ready for analysis, dashboards, or downstream pipelines.
⚡	Fast. Optimized request patterns return results in seconds, not minutes.
🔁	Always fresh. Every run pulls live data, so the dataset reflects MachineryTrader as of run time.
🌐	No infra to manage. Apify handles proxies, retries, scaling, scheduling, and storage.
🛡️	Reliable. Battle-tested across many runs and edge cases, with graceful error handling.
🚫	No code required. Configure in the UI, run from CLI, schedule via cron, or call from any language with the Apify SDK.

📊 Production-grade structured equipment data without the engineering overhead of building and maintaining your own scraper.

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📈 How it compares to alternatives

Approach	Cost	Coverage	Refresh	Filters	Setup
⭐ MachineryTrader Scraper (this Actor)	$5 free credit, then pay-per-use	Full MachineryTrader catalog	Live per run	Category, make, year, price, hours	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid valuation databases	$$$ monthly	Vendor-defined	Periodic	Vendor-defined	⏳ Hours
Manual searches	Hours per check	Limited	Stale	Manual	🕒 Variable

Pick this Actor when you want broad coverage, source-native filtering, and no pipeline maintenance.

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🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the MachineryTrader Scraper page on the Apify Store.
3. 🎯 Set inputs. Either paste a MachineryTrader URL or pick category, make, and price filters.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

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💼 Business use cases

📊 Equipment dealers Track competitor pricing and inventory daily Build comp sets for valuation discussions Surface oversupplied and undersupplied categories Monitor make / model demand trends	🏢 Buyers and fleet managers Search active inventory across dealers in one query Filter by year, hours, and price for fit Build replacement-purchase pipelines Compare regional pricing differences
🎯 Auction houses and lenders Source consignment leads from active listings Validate equipment values for loan underwriting Build resale-price benchmarks by category Surface motivated sellers via days-listed signals	🛠️ Engineering and product Prototype equipment-data products without owning a crawler Replace fragile in-house MachineryTrader scrapers Wire datasets into your apps via the Apify API or webhooks Skip the proxy, retry, and parsing maintenance entirely

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🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia Empirical datasets for papers, thesis work, and coursework Longitudinal studies tracking changes across snapshots Reproducible research with cited, versioned data pulls Classroom exercises on data analysis and ethical scraping	🎨 Personal and creative Side projects, portfolio demos, and indie app launches Data visualizations, dashboards, and infographics Content research for bloggers, YouTubers, and podcasters Hobbyist collections and personal trackers
🤝 Non-profit and civic Transparency reporting and accountability projects Advocacy campaigns backed by public-interest data Community-run databases for local issues Investigative journalism on public records	🧪 Experimentation Prototype AI and machine-learning pipelines with real data Validate product-market hypotheses before engineering spend Train small domain-specific models on niche corpora Test dashboard concepts with live input

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🔌 Automating MachineryTrader Scraper

This Actor exposes a REST endpoint, so you can drive it from any language or workflow tool.

• Node.js - call it via the Apify JS SDK.
• Python - call it via the Apify Python SDK.
• REST - hit it directly through the Apify v2 API.

Schedules. Use Apify Scheduler to capture daily snapshots of equipment listings. Combine with the Apify dataset diff tools to track new listings, price changes, and sold equipment between runs.

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💰 How much does it cost?

Apify gives you $5 in free monthly credits on the Apify Free plan, enough to test MachineryTrader Scraper and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running MachineryTrader Scraper regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running MachineryTrader Scraper at production scale.

Pay-Per-Event pricing means you only pay for what you actually use. Failed runs are never charged. See the Pricing tab on this Actor's page for exact event prices.

💡 Tips for using MachineryTrader Scraper

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run MachineryTrader Scraper on a recurring basis and keep your dataset fresh.
• Export via Integrations: Apify connects to Google Sheets, Airbyte, Make, Zapier, and direct webhooks — pipe your data anywhere.
• Monitor with webhooks: trigger downstream workflows the moment a run finishes.
• Re-run failed items: if any individual records error out, re-run with their inputs only. Failed events are not charged.

⚖️ Is it legal to use MachineryTrader Scraper?

Yes. MachineryTrader Scraper only collects publicly available data. Web scraping public data has been confirmed as legal by US courts (see hiQ Labs v. LinkedIn) and is widely used for research, market analysis, and business intelligence.

However, you are responsible for:

• Respecting the source website's Terms of Service.
• Complying with GDPR, CCPA, and other applicable data-protection laws when personal data is involved.
• Not republishing copyrighted content without permission.

If you have specific compliance concerns, consult your legal team. See the Apify legal docs for more.

❓ Frequently Asked Questions

🔌 Integrate with any app

MachineryTrader Scraper connects to any cloud service via Apify integrations:

• Make - Automate multi-step workflows
• Zapier - Connect with 5,000+ apps
• Slack - Get run notifications in your channels
• Airbyte - Pipe results into your warehouse
• GitHub - Trigger runs from commits and releases
• Google Drive - Export datasets straight to Sheets

You can also use webhooks to trigger downstream actions when a run finishes.

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🔗 Recommended Actors

• 🚜 Iron Planet Scraper - Auction equipment listings with bid info
• 🚛 CommercialTruckTrader Scraper - Commercial truck listings with specs
• 🚙 Cars and Bids Scraper - Auction listings with bid history
• 🚜 EquipmentTrader Scraper - Equipment listings across categories
• 🏗️ DealStream Scraper - Industrial equipment and machinery deals

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

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🆘 Need Help? Open our contact form to request a new scraper, propose a custom project, or report an issue.

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⚠️ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by MachineryTrader or Sandhills Global. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and lead-generation use. Users are responsible for compliance with the source site's Terms of Service and applicable law.