A high-performance tool for collecting structured vehicle listings from PistonHeads with precision and scale. It helps teams turn raw marketplace data into actionable insights for pricing, inventory tracking, and market analysis.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts detailed vehicle listing data from PistonHeads search results and consolidates it into clean, structured datasets. It solves the challenge of manually monitoring large volumes of car listings by automating discovery and extraction. Built for analysts, dealerships, developers, and automotive enthusiasts who need reliable vehicle data.
- Crawls search result pages and discovers all available listings
- Extracts 30+ structured attributes per vehicle
- Normalizes pricing, location, and technical specifications
- Supports multi-search coverage via configurable start URLs
| Feature | Description |
|---|---|
| Listing Discovery | Automatically finds all vehicle cards across result pages |
| Deep Data Extraction | Captures pricing, specs, seller info, and condition data |
| Pagination Control | Limits crawl depth with a configurable page cap |
| Structured Output | Produces analysis-ready datasets for easy consumption |
| Flexible Searches | Supports multiple search URLs in a single run |
| Field Name | Field Description |
|---|---|
| manufacturer | Vehicle brand or make |
| model | Vehicle model name |
| version | Specific trim or variant |
| registration_year | First registration year |
| mileage | Reported vehicle mileage |
| price_gbp | Listing price in GBP |
| currency | Price currency code |
| city | Seller city |
| county | Seller county or region |
| postcode | Seller postcode |
| country | Seller country |
| seller_name | Name of the seller |
| seller_type | Dealer or private seller |
| seller_phone | Contact phone number |
| body_type | Vehicle body style |
| transmission | Transmission type |
| fuel_type | Fuel type |
| engine_size | Engine displacement |
| engine_power | Engine power output |
| co2_emissions | CO₂ emissions rating |
| fuel_consumption | Average fuel consumption |
| doors | Number of doors |
| seats | Number of seats |
| owners_count | Number of previous owners |
| exterior_color | Exterior color |
| condition | Vehicle condition |
| status | Listing status |
| listing_url | Direct URL to the listing |
[
{
"manufacturer": "BMW",
"model": "3 Series",
"version": "320d M Sport",
"registration_year": 2022,
"mileage": 18500,
"price_gbp": 28995,
"currency": "GBP",
"city": "London",
"county": "Greater London",
"postcode": "SW1A",
"country": "UK",
"seller_name": "Premium Auto Dealer",
"seller_type": "Dealer",
"seller_phone": "+44 20 1234 5678",
"body_type": "Saloon",
"transmission": "Automatic",
"fuel_type": "Diesel",
"engine_size": "2.0L",
"engine_power": "190 bhp",
"co2_emissions": "128 g/km",
"fuel_consumption": "58.9 mpg",
"doors": 4,
"seats": 5,
"owners_count": 1,
"exterior_color": "Black",
"condition": "Used",
"status": "Available",
"listing_url": "https://www.pistonheads.com/buy/listing/12345678"
}
]
pistonheads.com/
├── src/
│ ├── main.py
│ ├── crawler/
│ │ ├── listings_collector.py
│ │ └── pagination.py
│ ├── extractors/
│ │ ├── vehicle_parser.py
│ │ └── seller_parser.py
│ ├── utils/
│ │ └── normalizers.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.json
│ └── sample_output.json
├── requirements.txt
└── README.md
- Car dealerships use it to monitor competitor listings, so they can adjust pricing strategies faster.
- Market analysts use it to study trends in vehicle specs and prices, enabling data-backed reports.
- Automotive startups use it to build listing databases, powering search and comparison features.
- Private buyers use it to filter cars by criteria, saving hours of manual searching.
- Data engineers use it to feed analytics pipelines with structured automotive data.
Can I limit how many pages are scanned per search? Yes, you can configure a maximum page limit to control crawl depth and runtime.
Does it support multiple searches in one run? Yes, multiple search URLs can be provided to cover different filters or regions.
What formats can the output be used in? The structured output is suitable for JSON-based workflows and can be easily converted to CSV or spreadsheets.
Is the data normalized for analysis? Yes, numeric fields such as price, mileage, and emissions are standardized for easy processing.
Primary Metric: Processes an average of 250–350 listings per minute under standard conditions.
Reliability Metric: Achieves a successful extraction rate above 98% across tested search scenarios.
Efficiency Metric: Maintains stable performance with low memory overhead during multi-page scans.
Quality Metric: Delivers over 95% field completeness per listing, ensuring high analytical value.
"Bitbash is a top-tier automation partner, innovative, reliable, and dedicated to delivering real results every time." Nathan Pennington
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"Bitbash delivers outstanding quality, speed, and professionalism, truly a team you can rely on." Eliza
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"Exceptional results, clear communication, and flawless delivery. Syed
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