🔨 Ritchie Bros Auctioneers Scraper

🚀 Pull heavy equipment auction listings from Ritchie Bros in minutes. 70+ fields per lot. Specs, bids, manufacturer, location, auction events. No API key.

🕒 Last updated: 2026-05-09 · 📊 70+ fields per lot · 🔨 Upcoming + sold auctions · 🚫 No auth required

Pull live heavy-equipment auction listings from Ritchie Bros, the world's largest industrial auctioneer. The actor accepts a keyword search plus filters (industry, manufacturer, year, country), walks the result pages, and returns one structured record per lot ready for equipment valuation, dealer prospecting, fleet purchasing, or auction-market intelligence.

Every run fetches data live so you get the current state of Ritchie Bros at run time. Records include the make, model, year, serial number, hours, condition, current bid, estimated price, sold price (for past auctions), auction event name, location, geo coordinates, photo URLs, and a back-reference URL.

👥 Built for	🎯 Primary use cases
Equipment dealers	Track auction inventory and final sale prices
Fleet managers	Source equipment from upcoming auctions
Valuation specialists	Build comp sets from sold results
Lenders and finance	Validate equipment values for loans
Investors	Track resale-market trends
Researchers	Study heavy-equipment market dynamics

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📋 What the Ritchie Bros Scraper does

• 🔨 Two modes. Upcoming auctions (active lots) or auction results (sold lots with final prices).
• 🏭 Industry filter. Construction, Consumer Items, Trucks & Trailers, Agriculture, Motors, Forklifts.
• 🏷️ Manufacturer filter. Free-text manufacturer name.
• 🗓️ Year filter. Min and max manufacturing year.
• 💰 Pricing. Current bid, estimated price, sold price.
• 📸 Image galleries. Full photo URL list per lot.
• 📍 Geocoded. Latitude and longitude on every record.

The scraper walks Ritchie Bros' results, fetches each lot's detail page, and pushes structured records to the dataset.

💡 Why it matters: Ritchie Bros is the largest industrial-auction marketplace, but its UI is paginated and lacks bulk export. A live, structured pull beats manual browsing for valuation, dealer intelligence, and procurement teams.

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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
searchQuery	string	Search Query	Keyword (e.g. excavator, caterpillar 320, dump truck). Use * for all.
maxItems	integer	Max Items	Free users: limited to 10 items (preview). Paid users: optional, max 1,000,000.
searchType	enum	Search Type	upcomingAuction or auctionResults.
industry	enum	Industry	Filter by industry (Construction, Consumer Items, Trucks & Trailers, Agriculture, etc.).
manufacturer	string	Manufacturer	Manufacturer name (e.g. Caterpillar, Komatsu, John Deere).
manufactureYearMin	integer	Min Year	Lower bound on manufacturing year.
manufactureYearMax	integer	Max Year	Upper bound on manufacturing year.

Example 1. Caterpillar excavators in upcoming auctions.

{
  "searchQuery": "excavator",
  "searchType": "upcomingAuction",
  "manufacturer": "Caterpillar",
  "manufactureYearMin": 2018,
  "maxItems": 50
}

Example 2. Sold dump trucks (auction results) for valuation comp.

{
  "searchQuery": "dump truck",
  "searchType": "auctionResults",
  "maxItems": 100
}

⚠️ Good to Know: use * as searchQuery to return all listings. Industry codes are UUIDs handled by the input enum.

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📊 Output

The dataset returns one structured record per auction lot. Each record carries identifiers, manufacturer, model, year, hours, condition, prices, auction event, location, photo 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
🆔 lotId	string	RB-12345678
🏷️ title	string	2020 CATERPILLAR 320 Excavator
🏭 make	string	Caterpillar
🚜 model	string	320
🗓️ year	number	2020
🔢 serialNumber	string	CAT0320FAB1234567
⏱️ hours	number or null	1245
🏷️ condition	string	Used
📂 industry	string	Construction
💰 currentBid	number or null	48000
💵 estimatedPriceLow	number or null	45000
💵 estimatedPriceHigh	number or null	65000
💵 soldPrice	number or null	null
💱 currency	string	USD
🔨 auctionEvent	string	Edmonton April 2026
📅 auctionDate	ISO date	2026-04-25
📍 location	string	Edmonton, AB, Canada
📍 latitude	number	53.5461
📍 longitude	number	-113.4938
🖼️ imageUrls	array	["...1.jpg", "...2.jpg"]
🔗 lotUrl	string (url)	https://www.rbauction.com/lot/.../2020-caterpillar-320
📅 scrapedAt	ISO datetime	2026-05-09T12:00:00.000Z

📦 Sample records

1. Upcoming auction lot (Caterpillar excavator)

{
  "lotId": "RB-12345678",
  "title": "2020 CATERPILLAR 320 Excavator",
  "make": "Caterpillar",
  "model": "320",
  "year": 2020,
  "serialNumber": "CAT0320FAB1234567",
  "hours": 1245,
  "condition": "Used",
  "industry": "Construction",
  "currentBid": 48000,
  "estimatedPriceLow": 45000,
  "estimatedPriceHigh": 65000,
  "currency": "USD",
  "auctionEvent": "Edmonton April 2026",
  "auctionDate": "2026-04-25",
  "location": "Edmonton, AB, Canada",
  "latitude": 53.5461,
  "longitude": -113.4938,
  "imageUrls": [
    "https://images.rbauction.com/abc/1.jpg",
    "https://images.rbauction.com/abc/2.jpg"
  ],
  "lotUrl": "https://www.rbauction.com/lot/12345678/2020-caterpillar-320",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

2. Sold lot (auction results)

{
  "lotId": "RB-22334455",
  "title": "2018 KOMATSU PC200LC-8 Excavator",
  "make": "Komatsu",
  "model": "PC200LC-8",
  "year": 2018,
  "hours": 4250,
  "condition": "Used",
  "industry": "Construction",
  "soldPrice": 62500,
  "currency": "USD",
  "auctionEvent": "Houston March 2026",
  "auctionDate": "2026-03-15",
  "location": "Houston, TX, USA",
  "latitude": 29.7604,
  "longitude": -95.3698,
  "lotUrl": "https://www.rbauction.com/lot/22334455/2018-komatsu-pc200lc-8",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

3. Sparse record (older equipment)

{
  "lotId": "RB-99887766",
  "title": "1998 FORD F-550 Service Truck",
  "make": "Ford",
  "model": "F-550",
  "year": 1998,
  "industry": "Trucks & Trailers",
  "currentBid": null,
  "currency": "USD",
  "auctionEvent": "Chicago May 2026",
  "auctionDate": "2026-05-20",
  "location": "Chicago, IL, USA",
  "lotUrl": "https://www.rbauction.com/lot/99887766/1998-ford-f-550",
  "scrapedAt": "2026-05-09T12:00:00.000Z"
}

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✨ Why choose this Actor

	Capability
🎯	Built for the job. Scoped specifically to Ritchie Bros so you skip the parser engineering entirely.
🔖	Structured output. 70+ 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 Ritchie Bros 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 auction 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
⭐ Ritchie Bros Scraper (this Actor)	$5 free credit, then pay-per-use	Full Ritchie Bros catalog	Live per run	Industry, manufacturer, year	⚡ 2 min
Build your own scraper	Engineering hours	Full once built	Whenever you maintain it	Custom code	🐢 Days to weeks
Paid auction-data platforms	$$$ 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 Ritchie Bros Auctioneers Scraper page on the Apify Store.
3. 🎯 Set filters. Pick search type, manufacturer, and year, then set maxItems.
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 auction inventory and final sale prices Build comp sets for valuation discussions Surface bidding signals across regions Monitor make / model demand trends	🏢 Fleet purchasing Source equipment from upcoming auctions Compare current bids vs estimated prices Build approved-purchase pipelines Track regional pricing differences
🎯 Valuation and finance Build resale-price benchmarks by category Validate equipment values for loan underwriting Surface motivated-seller signals Track auction-vs-retail price gaps	🛠️ Engineering and product Power equipment-data products without owning a crawler Replace fragile in-house Ritchie Bros 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 Ritchie Bros Auctioneers 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 upcoming auctions. Combine with the Apify dataset diff tools to track new lots and price changes.

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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 Ritchie Bros Auctioneers Scraper and pull a real sample dataset. For ongoing usage:

• Starter plan ($49/month) — Recommended for individuals running Ritchie Bros Auctioneers Scraper regularly. Includes higher concurrency and larger datasets.
• Scale plan ($499/month) — Recommended for teams running Ritchie Bros Auctioneers 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 Ritchie Bros Auctioneers Scraper

• Start with a small maxItems (3-10) to validate output format before running larger jobs.
• Use Apify Schedules to run Ritchie Bros Auctioneers 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 Ritchie Bros Auctioneers Scraper?

Yes. Ritchie Bros Auctioneers 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

Ritchie Bros Auctioneers 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

• 🚜 MachineryTrader Scraper - Heavy machinery listings with specs
• 🚜 Iron Planet Scraper - Auction equipment listings
• 🚛 CommercialTruckTrader Scraper - Commercial truck listings
• 🚙 Cars and Bids Scraper - Auction listings with bid history
• 🏗️ DealStream Scraper - Industrial equipment 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 Ritchie Bros Auctioneers or RB 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.