Bikez Motorcycle Specs Scraper

Scrape motorcycle technical specifications from bikez.com — the largest motorcycle database with 42,000+ models from 1894 to present.

What it does

• Search mode: Browse bikes by make (brand), optionally filtering by model name, year, and/or category
• Specs mode: Provide direct bikez.com motorcycle page URLs to extract full specs

Extracts specs from the JSON-LD structured data embedded in each page plus static HTML fields — no JavaScript rendering needed.

Input Parameters

Parameter	Type	Description
mode	string	search (browse by make/model/year) or specs (direct URLs). Default: search
make	string	Brand name (e.g. Honda, Yamaha, Kawasaki, BMW, Ducati). Required for search mode
model	string	Model name substring filter (e.g. CBR, R1, GSX-R). Case-insensitive
year	integer	Filter by year of manufacture (e.g. 2024)
category	string	Filter by bike type: sport, touring, cruiser, naked bike, enduro, etc.
limit	integer	Max number of results. Default: 5, max: 1000
startUrls	array	List of bikez.com spec page URLs (specs mode only)
proxyConfiguration	object	Proxy settings (residential recommended)

Output Fields

Each result contains:

Field	Type	Description
make	string	Manufacturer (e.g. "Honda")
model	string	Model name (e.g. "CBR600RR")
year	integer	Year of manufacture
category	string	Bike type (Sport, Touring, Naked bike, etc.)
engineSize	number	Displacement in cc
power	number	Engine power in BHP/hp
torque	number	Torque in Nm
weight	number	Wet weight in kg
fuelCapacity	number	Tank capacity in liters
wheelbase	number	Wheelbase in mm
fuelConsumption	number	Fuel consumption in L/100km
co2Emissions	string	CO2 emissions (e.g. "124.1 g/km")
color	string	Available color options
price	number	US MSRP in USD
description	string	Manufacturer description
imageUrl	string	Motorcycle photo URL
sourceUrl	string	Source bikez.com page URL
scrapedAt	string	ISO 8601 timestamp

Example Output

{
  "make": "Honda",
  "model": "CBR600RR",
  "year": 2024,
  "category": "Sport",
  "engineSize": 599,
  "power": 118.01,
  "torque": 66,
  "weight": 189.15,
  "fuelCapacity": 18.17,
  "wheelbase": 1369,
  "fuelConsumption": 5.35,
  "co2Emissions": "124.1 g/km",
  "color": "Grand Prix Red Tricolor (red/blue/white)",
  "price": 12199,
  "description": "Designed to give you complete control, the CBR600RR is the ultimate racetrack tool...",
  "imageUrl": "https://bikez.com/pictures/honda/2024/cbr600rr.jpg",
  "sourceUrl": "https://www.bikez.com/motorcycles/honda_cbr600rr_2024.php",
  "scrapedAt": "2024-04-22T10:00:00.000Z"
}

Example Inputs

Search Honda CBR models from 2024

{
  "mode": "search",
  "make": "Honda",
  "model": "CBR",
  "year": 2024,
  "limit": 10
}

Search all Yamaha sport bikes

{
  "mode": "search",
  "make": "Yamaha",
  "category": "sport",
  "limit": 50
}

Fetch specs for a specific URL

{
  "mode": "specs",
  "startUrls": [
    { "url": "https://www.bikez.com/motorcycles/honda_cbr600rr_2024.php" },
    { "url": "https://www.bikez.com/motorcycles/yamaha_yzf-r1_2024.php" }
  ]
}

How it works

1. Search mode: Fetches the brand listing page (/brand/<make>_motorcycles.php) which contains all models in a table. Applies make/model/year filters, then enqueues individual spec pages.
2. Specs mode: Directly fetches the provided spec page URLs.
3. Data extraction: Each spec page contains a <script type="application/ld+json"> block with a Motorcycle schema containing engine specs, weight, fuel data, etc. The price field is parsed from the static HTML table.

Supported Makes

All 600+ brands in the bikez.com database are supported, including:

• Honda, Yamaha, Kawasaki, Suzuki
• BMW, Ducati, Triumph, KTM
• Harley-Davidson, Indian, Victory
• Aprilia, MV Agusta, Moto Guzzi
• And hundreds more

Notes

• Most technical specs (engine type, suspension details, brakes, seat height) are loaded dynamically via JavaScript on the site. The scraper extracts key specs from the JSON-LD structured data, which covers the most important fields.
• Price shown is US MSRP at time of listing on bikez.com, not necessarily current market price.
• Wheelbase in JSON-LD is in centimeters; this scraper converts to millimeters.