TractorHouse – New & Used Farm Equipment Marketplace Data

TractorHouse is the agriculture marketplace brand of Sandhills Global, the Lincoln, Nebraska information-processing company founded in 1978 whose stable also holds Machinery Trader, Truck Paper, AuctionTime, MarketBook and Equipmentfacts - and this dataset is that marketplace delivered structurally. It is the largest US-focused venue for new and used farm equipment, organizing dealer inventory into tractors bucketed by horsepower (less than 40, 40-99, 100-174, 175-299 and 300+ HP) and onward through planting equipment, harvesters, harvest equipment, tillage, hay and forage, chemical applicators, utility UTVs, manure handling, grain handling and storage, ag trailers, precision ag, specialty crop equipment, and attachments and parts - with adjacent catalogs for irrigation, outdoor power, livestock equipment, trucks and trailers, even construction iron.

What turns a storefront into a dataset is the detail page underneath each listing. Every machine carries year, manufacturer, model, a full serial number, condition, stock number, the seller's business name with contact person and phone, a street-address machine location, and an asking price displayable in any of 60-plus currencies - plus structured attribute groups covering attachments, chassis and tires, cab, hydraulics and powertrain. Within Datadory's catalog of 14 agricultural-farm-machinery datasets it scores 8 out of 10, a band shared by 430 of the 1,744 datasets we hold. Get a sample of this dataset cut to your categories and brands, or read the rows below first.

One complete machine, exactly as captured in the August 2026 research pass, followed by two more from other aisles of the catalogue:

title        : 1974 INTERNATIONAL 1066
category     : 100 HP to 174 HP Tractors
price_usd    : $22,500
location     : 4515 S Thomas Rd, Bad Axe, Michigan 48413
seller       : Morell Equipment
serial       : 2610172U037887
stock_no     : 241125
engine_hp    : 140 HP
drive        : 2WD
tires        : 7.50x16 front / 18.4x38 rear (Duals)
rear_remotes : 2

title   : 2012 WILSON PACESETTER    category : Hopper / Grain Trailers Semi-Trailers    price : $22,000
title   : 2020 KUBOTA RTVX1140W     category : Utility Utility Vehicles Motorsports     price : $12,500

Three things the rows prove. The serial number arrives intact - 17 characters on the International - which is what lets one physical machine resolve across marketplaces, auction results and resale instead of counting twice. Tire setup is typed, not parsed out of prose: 7.50x16 fronts beside 18.4x38 rears with Duals named as the configuration. And the location is a street address, not a country flag, so territory mapping and route-planning get coordinates-grade input. The two shorter rows sit in other aisles - a grain trailer, a utility vehicle - and show the same title-category-price triple holding outside the tractor barn.

Nineteen fields define the default delivery, and they divide into four blocks. Machine identity: year, manufacturer, model, serial_number, stock_number and condition - the six columns every deduplication and age-model starts from, with the serial doing the heavy lifting. Commercial: price and category, the latter encoding the horsepower bucket right in its path for tractors. Location and seller: machine_location, seller_name and description. Specification: engine_horsepower, drive, rear_pto_speed, rear_remote_hydraulics, front_tire_size, rear_tire_size, rear_tire_configuration and cab - the working attributes that decide what a machine can actually pull, lift and run.

The nineteen-column spine ships by default; the layers below fold into additional fields on request because they depend on how deep into each detail page the capture goes and how fully each seller populates it. Name the ones your models need when you ask for the sample, and column naming locks against live records at that point.

• Geography: United States and Canada primarily, with dealer inventory from additional countries mixed in - and display-currency support running past sixty markets, which tells you something about where the buyers browse from even when the iron sits in Iowa.
• Temporal: a current-state mirror of live inventory. Machines sell, their ads cycle out, and there is no retrospective archive behind the classifieds, so longitudinal work accrues forward from your first pull. The auction-results section carries recent sale records beside the fixed-price listings.
• Granularity: one row per physical machine at listing level. This is the unit face of the market - serial-numbered individuals with asking prices - not model designs and not dealer rollups.
• Breadth: tractors headline but hardly exhaust the yard - trailers, utility vehicles, grain-handling kits and precision-ag hardware arrive on the same schema, so fleet-wide questions need no second source.

API, files, or your warehouse. Daily, weekly, or hourly.

Name the categories, brands and fields when you request the sample and it lands shaped to that scope with the nineteen-field dictionary unchanged. Because dealer lots turn over quickly, most teams take the full table once to baseline their categories, then keep a scheduled refresh so newly posted machines and sold-listing removals diff cleanly into yesterday's rows - the cadence is your call regardless of how fast the yards move. The sample ships first.

• Used-equipment valuation and price discovery - asking prices against year, horsepower and condition build cohort curves before a trade-in, an appraisal or a fleet disposal; the method lives on our price monitoring page.
• Dealer competitive intelligence - count live inventory by dealership, region and category to see who is stocking what and how quickly rival yards turn their iron; see competitor tracking.
• Cross-marketplace deduplication - serial numbers make the same machine recognizable here, in auction results and on rival platforms, which is the prerequisite for honest supply counts.
• ML feature pipelines - tidy rows of make, model, year, horsepower and typed tire configuration train price-prediction and residual models without a parsing layer; see ML model training.
• Market sizing - live counts by horsepower class anchor top-down models for parts, finance and dealership service; see market sizing.
• Parts demand planning - the age-and-class mix of advertised machines approximates the installed base dealers service; see demand forecasting.

Market researchers and consultants get the closest thing the US used-farm-market has to a census of supply, at unit grain instead of trade-press anecdote - see market researchers use cases. Sales and growth teams at dealerships and OEM branches get rival yard depth by region and category; see sales growth teams use cases. Investors and quants get a live pricing panel for equipment-heavy ag businesses; see investors quants use cases.Data scientists and ML engineers get typed specification columns already separated from the prose; see data scientists use cases. Competitive intelligence product teams get a monitorable feed of dealer inventory refreshed on whatever cadence matches their ops cycle; see competitive intel product teams use cases.

Scope note - this record is the marketplace face of North American farm equipment: live asking prices on serial-numbered units. It answers different questions than the design face of the same industry - TractorData documents what each of 18,310 tractor models was built as, back to the 1910s, while this record prices the individuals actually sitting in yards today. Pair them: factory specifications give these listing rows their missing hitch and PTO context, and the head-to-head is worked through on our TractorData.com vs TractorHouse comparison.

Verification note - field definitions carry a verified flag from the August 2026 research pass. Two boundaries stay open, stated plainly: the marketplace publishes category-level counts but no total active-listing figure, and the historical depth of its auction results could not be measured. Any scoped sample reports presence rates per category before you commit.

Where to go next: - Single-brand depth: MachineFinder (John Deere) - the manufacturer's own used-equipment channel. - European marketplace peer: Mascus - RB Global's multi-country dealer inventory with euro-normalized prices. - European classifieds peer: Agriaffaires - Groupe BV's network across 18-plus country editions. - What asking-price corpora can and cannot claim: the used equipment pricing data glossary entry. - The full ranked field: best agricultural farm machinery datasets, scored on Datadory's 0-10 rubric, with everything above collected in the agricultural farm machinery data hub.