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Commercial Truck Trader Scraper

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from $8.00 / 1,000 results

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Commercial Truck Trader Scraper

Commercial Truck Trader Scraper

Scrape commercial truck listings from CommercialTruckTrader.com. Get prices, make, model, year, mileage, condition, category, dealer info, and images. Filter by category (dump, flatbed, box trucks), condition, make, price, and year. Covers 230,000+ trucks from dealers nationwide.

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from $8.00 / 1,000 results

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ParseForge

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๐Ÿš› Commercial Truck Trader Scraper

๐Ÿš€ Scrape commercial truck listings with prices, makes, models, years, mileage, conditions, dealer info, and images. Filter by 20+ categories, condition, make, price range, and year.

๐Ÿ•’ Last updated: 2026-04-16

Collect commercial truck listings without coding. Extract titles, prices, years, makes, models, conditions, mileage, dealer information, specifications, and image galleries from one of the largest online marketplaces for commercial trucks in the United States. Filter by truck category, condition, make, price range, and model year.

Whether you are a fleet manager sourcing vehicles, a truck dealer tracking competitor pricing, or a market researcher analyzing the commercial vehicle market, this tool delivers structured listing data ready for pricing analysis, inventory monitoring, or fleet planning.

TargetCommercial truck marketplace - US dealer and private seller listings
Use CasesFleet sourcing, dealer pricing intelligence, market analysis, inventory monitoring, depreciation tracking

๐Ÿ“‹ What it does

  • ๐Ÿš› Extracts titles, years, makes, models, and listing prices from thousands of commercial truck listings across 20+ categories
  • ๐Ÿ’ฐ Collects pricing data with condition status (new/used) for side-by-side market comparisons
  • ๐Ÿ“Š Returns mileage, truck category, and detailed specifications for every listing
  • ๐Ÿข Captures dealer names and locations for each listing to map dealer networks
  • ๐Ÿ“ธ Collects primary images and full image galleries for visual inventory assessment
  • ๐Ÿ” Supports filtering by category (dump, flatbed, box, tow, semi trucks and more), condition, make, price, and year

Each listing is normalized into a consistent format with 15+ data fields. The scraper handles pagination automatically to collect hundreds or thousands of listings in a single run.

๐Ÿ’ก Why it matters: Commercial truck pricing fluctuates by season, supply, and market demand. Manual browsing through marketplace pages is slow and makes it hard to compare across categories. This scraper automates bulk collection so you can build pricing databases, track inventory changes, and identify deals before competitors.


๐ŸŽฌ Full Demo

๐Ÿšง Coming soon


โš™๏ธ Input

FieldTypeDescription
Start URLTextDirect search URL. Overrides all filter options below.
Max ItemsNumberFree users: Limited to 10 items. Paid users: up to 1,000,000
CategorySelectDump Trucks, Box Trucks, Flatbeds, Tow Trucks, Semi Trucks, and 15+ more
ConditionSelectAll, Used, or New
MakeTextManufacturer (e.g. Freightliner, Peterbilt, Kenworth, International, Mack, Volvo)
Min Price / Max PriceNumberPrice range in USD
Min Year / Max YearNumberModel year range

Example 1: Used dump trucks by Freightliner

{
"maxItems": 50,
"category": "Dump-Trucks",
"condition": "U",
"make": "Freightliner"
}

Example 2: New semi trucks under $200k

{
"maxItems": 100,
"category": "Semi-Trucks",
"condition": "N",
"maxPrice": 200000
}

โš ๏ธ Good to Know: Free users are limited to 10 results per run. When using Start URL, all filter fields are ignored. Residential proxies are included in the default configuration for reliable access.


๐Ÿ“Š Output

๐Ÿงพ Schema

EmojiFieldTypeDescription
๐Ÿ–ผ๏ธimageUrlStringPrimary listing photo
๐Ÿ“titleStringFull truck title (year, make, model)
๐Ÿ”—urlStringDirect link to listing
๐Ÿ”‘listingIdStringUnique listing identifier
๐Ÿ’ฐpriceStringListing price
๐Ÿ“…yearNumberModel year
๐ŸญmakeStringTruck manufacturer
๐Ÿš›modelStringTruck model name
โœ…conditionStringNew or Used
๐Ÿท๏ธcategoryStringTruck category (dump, flatbed, etc.)
๐Ÿ“mileageStringOdometer reading
๐Ÿ“locationStringDealer city and state
๐ŸขdealerNameStringDealer or seller name
๐Ÿ”งspecificationsObjectDetailed truck specifications
๐Ÿ“ธimagesArrayFull image gallery URLs
๐Ÿ“…scrapedAtStringTimestamp when data was collected
โš ๏ธerrorStringError message if extraction failed

โœจ Why choose Commercial Truck Trader Scraper

FeatureDetails
๐Ÿš› 20+ truck categoriesDump, flatbed, box, tow, semi, crane, refrigerated, garbage, and more
๐Ÿ’ฐ Complete pricing dataListing prices with condition (new/used) for market comparisons
๐Ÿ” Five filter typesCategory, condition, make, price range, and model year
๐Ÿข Dealer informationDealer name and location for every listing
๐Ÿ“ธ Image galleriesPrimary photos and full image galleries
โšก Fast collectionHundreds of listings in under a minute
๐Ÿ“ฆ Multiple exportsDownload as JSON, CSV, or Excel

๐Ÿ“Š Collect structured truck listing data from the largest US commercial truck marketplace


๐Ÿ“ˆ How it compares

FeatureCommercial Truck Trader ScraperOther Tools
20+ truck categoriesYesFew categories
New + used condition filterYesLimited
Make, price, year filtersYesPartial
Dealer name and locationYesSometimes
Image galleriesYesUsually one image
Structured outputJSON, CSV, ExcelHTML scraping
Automatic paginationYesManual
Export formatsJSON, CSV, ExcelVaries

๐Ÿš€ How to use

  1. Sign up - Create a free account with $5 credit
  2. Find the tool - Search for "Commercial Truck Trader Scraper" in the Apify Store
  3. Set your filters - Choose category, condition, make, price range, and year
  4. Run it - Click "Start" and wait for results
  5. Export data - Download as JSON, CSV, or Excel, or connect to Google Sheets

๐Ÿ’ผ Business use cases

๐Ÿš› Fleet Managers
Source vehicles across multiple categories and price ranges from dealers nationwide for fleet expansion and replacement planning
๐Ÿข Truck Dealers
Monitor competitor pricing and inventory to identify underpriced listings and adjust your own pricing strategy
๐Ÿ“Š Market Researchers
Build commercial truck market databases and analyze pricing trends by make, year, and category over time
๐Ÿ—๏ธ Construction Companies
Find dump trucks, flatbeds, and specialty vehicles at competitive prices from dealers across the country


๐ŸŒŸ Beyond business use cases

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

๐ŸŽ“ 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

๐ŸŽจ 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

๐Ÿค 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

๐Ÿงช 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

๐Ÿค– Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

โ“ Frequently Asked Questions


๐Ÿ”Œ Automating with code

Node.js example:

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor("parseforge/commercialtrucktrader-scraper").call({
category: "Dump-Trucks",
condition: "U",
make: "Freightliner",
maxItems: 100
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python example:

from apify_client import ApifyClient
client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("parseforge/commercialtrucktrader-scraper").call(run_input={
"category": "Dump-Trucks",
"condition": "U",
"make": "Freightliner",
"maxItems": 100
})
items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
print(items)

See the Apify API docs for more integration options.

๐Ÿ”Œ Integrate with your tools

  • Make - Automate truck market monitoring workflows
  • Zapier - Get alerts when new trucks match your criteria
  • GitHub - Version control integration
  • Slack - Get notified in your team channel
  • Airbyte - Data pipeline integration
  • Google Drive - Export directly to spreadsheets

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Browse our complete collection of data extraction tools for more.


๐Ÿ†˜ Need Help?

  • Check the FAQ section above for common questions
  • Visit the Apify documentation for platform guides
  • Contact us to request a new scraper, propose a custom project, or report an issue at Tally contact form

Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or connected to Commercial Truck Trader, Trader Interactive, or any of their subsidiaries. It accesses only publicly available data.