Truck1 Scraper — Used Trucks & Commercial Vehicles Europe

Disclaimer: Unofficial integration for publicly accessible Truck1 listings. Not affiliated with, sponsored by, or endorsed by Truck1 or its operators. Trademarks belong to their respective owners.

This Actor is provided for informational and research purposes only (market research, inventory monitoring, pricing workflows). You are solely responsible for ensuring your use complies with applicable laws, platform terms of use, and your organization's policies.

No warranty is given as to accuracy, completeness, or continued availability of third-party data. Use at your own risk.

Scrape used trucks, tractor units, trailers, vans, buses, construction machinery, and related commercial equipment from Truck1 into clean JSON. Built for European B2B workflows: fleet sourcing, dealer intelligence, market pricing, and inventory monitoring.

Supports category crawls, brand filters, start URLs, and direct listing pages. Choose listings mode for fast card-level catalogs or details mode for full product pages with technical specs, image galleries, Euro emission class, axle configuration, transmission, and seller company context (no phone numbers).

Lightweight HTTP extraction with TLS fingerprinting — no headless browser overhead.

When to use this Actor

Use the Truck1 Scraper when you need:

• Asking prices and currency for used commercial vehicles across Europe
• Technical attributes — year, mileage, power (hp/kW), fuel type, Euro class, axle config (4x2, 6x4, …), transmission, weights, dimensions
• Dealer / company context — seller name, address, and country when published on the listing
• Bulk catalog coverage — 17 top-level categories (trucks, trailers, construction, agriculture, spare parts, and more)
• Brand-filtered runs — e.g. DAF, Volvo, Mercedes-Benz, Scania, MAN

Ideal for truck dealers, fleet buyers, market analysts, and data teams tracking the European used commercial vehicle market.

Data pipeline

Input                              Mode                         Output
─────────────────────────         ────────────────────         ──────────────────────────

  Category / brand URL       ──►   listings (fast cards)  ──►  price, year, mileage
  Search / filtered URL      ──►   details  (full PDP)   ──►  specs, images, Euro, axle
  Direct listing URL         ──►                           ──►  seller company context
  categories[] + make

  Join by manufacturer + model ──► price benchmarking & inventory alerts

Key Features

• 17 top-level categories — trucks, tractor units, semi-trailers, trailers, vans, buses, campers, construction, material handling, agriculture, forestry, municipal, ground support, industrial, swap bodies, spare parts, other machinery.
• Brand filter — optional make applied as a path segment on category URLs.
• Two extraction modes — listings for card-level data; details for JSON-LD + HTML specs + description heuristics.
• Deep vehicle attributes — Euro class, axle configuration, transmission, net/gross weight, dimensions when available on the page or in the description.
• Seller context without phones — company name, address, country only.
• Fast concurrent HTTP — challenge bypass and parallel detail fetches; residential proxy recommended at scale.

Input Parameters

Parameter	Type	Default	Description
startUrls	Array	sample tippers URL	Category, brand, search, or listing detail URLs.
categories	Array	["trucks"]	Used when startUrls is empty. Empty array = all 17 categories.
make	String	""	Optional manufacturer filter (e.g. DAF, Volvo).
runMode	String	"details"	"listings" (cards) or "details" (full PDP).
maxItems	Integer	100	Maximum listings to return (0 = unlimited).
maxPagesPerUrl	Integer	5	Pagination depth per start URL (0 = until exhausted).
concurrencyLimit	Integer	5	Parallel detail workers (1–20).
proxyConfiguration	Object	Apify Proxy	Residential proxies recommended for large runs.

Input example

{
  "startUrls": [
    { "url": "https://www.truck1.eu/trucks/tippers" }
  ],
  "make": "",
  "runMode": "details",
  "maxItems": 50,
  "maxPagesPerUrl": 3,
  "concurrencyLimit": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Output Format

Each row is pushed to the default dataset.

Details mode (enriched)

Field	Description
id, url, title	Listing identifiers
brand, model, category	Vehicle identity
price, currency	Asking price
year, mileageKm, fuelType	Core vehicle facts
powerHp, powerKw	Engine power
euroClass, axleConfig, transmission	Drivetrain / emissions
netWeightKg, grossWeightKg, dimensionsMm	Weights and size
firstRegistrationDate, referenceNumber	Registration / ref
location, country	Listing location
sellerName, sellerAddress, sellerCountry	Dealer company (no phone)
description, specs, images	Free text, spec map, gallery

Example record

{
  "id": "11572087",
  "title": "DAF XF 530 FAT, 6x4, Kempf 3-Seiten Kipper, Bordmatik",
  "brand": "DAF",
  "model": "XF 530",
  "category": "tippers",
  "price": 59000,
  "currency": "EUR",
  "year": 2018,
  "mileageKm": 602000,
  "fuelType": "Diesel",
  "powerHp": 530,
  "powerKw": 390,
  "euroClass": "Euro 6C",
  "axleConfig": "6x4",
  "transmission": "Automatic",
  "netWeightKg": 11450,
  "grossWeightKg": 26000,
  "sellerName": "Staufen Trucks GmbH",
  "sellerCountry": "DE"
}

Typical Workflow

1. Open a filtered category or brand page on Truck1 (or pick categories + optional make).
2. Paste the URL into startUrls.
3. Set runMode to listings for a fast index or details for full enrichment.
4. Export the dataset as JSON, CSV, or Excel.