Pakwheels Scraper is a powerful data extraction tool that collects used car listings from PakWheels into clean, structured datasets. It helps businesses and analysts track prices, inventory, and market trends across Pakistan’s automotive market with speed and accuracy.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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This project extracts detailed used-car listing data from PakWheels list pages and optional detail pages. It solves the problem of manually tracking vehicle listings by automating large-scale data collection into ready-to-use formats. It is built for car dealers, exporters, analysts, and developers who need reliable automotive data from Pakistan.
- Supports multiple list URLs including city-based searches
- Two scrape modes for speed or enriched detail
- Automatically handles pagination across listings
- Outputs structured datasets ready for analysis or integration
| Feature | Description |
|---|---|
| List Page Scraping | Collects vehicle data directly from search result pages for fast extraction. |
| Detail Page Enrichment | Optionally visits each listing to gather full specifications and images. |
| Dual Scrape Modes | Choose between speed-optimized or detail-rich scraping modes. |
| Structured Outputs | Produces consistent datasets suitable for business or technical use. |
| Scalable Collection | Handles hundreds to tens of thousands of listings reliably. |
| Field Name | Field Description |
|---|---|
| id | Unique listing identifier. |
| title | Vehicle title as shown in the listing. |
| detail_url | Direct link to the car detail page. |
| city | City or location of the vehicle. |
| make | Manufacturer name. |
| model | Vehicle model name. |
| year | Model year of the vehicle. |
| price | Listed price value. |
| price_currency | Currency code of the price. |
| mileage_km | Mileage driven in kilometers. |
| fuel | Fuel type of the vehicle. |
| transmission | Transmission type. |
| engine_cc | Engine displacement in CC. |
| color | Exterior color. |
| body_type | Body type such as Sedan or SUV. |
| images | Thumbnail and gallery image URLs. |
| description | Short textual description of the listing. |
[
{
"id": "10614223",
"source": "pakwheels",
"url_list_page": "https://www.pakwheels.com/used-cars/search/-/",
"title": "Hyundai Tucson 2022 for sale in Faisalabad",
"detail_url": "https://www.pakwheels.com/used-cars/hyundai-tucson-2022-for-sale-in-faisalabad-10600383",
"city": "Faisalabad",
"thumbnail": "https://cache2.pakwheels.com/ad_pictures/1298/tn_hyundai-tucson.webp",
"make": "Hyundai",
"model": "Tucson",
"year": 2022,
"fuel": "Petrol",
"transmission": "Automatic",
"engine_cc": 2000,
"mileage_km": 41000,
"price": 7400000,
"price_currency": "PKR",
"color": "Black",
"body_type": "SUV"
}
]
Pakwheels Scraper/
├── src/
│ ├── main.py
│ ├── crawler/
│ │ ├── list_parser.py
│ │ ├── detail_parser.py
│ │ └── pagination.py
│ ├── exporters/
│ │ ├── csv_exporter.py
│ │ ├── json_exporter.py
│ │ └── excel_exporter.py
│ └── config/
│ └── settings.example.json
├── data/
│ ├── sample_input.txt
│ └── sample_output.json
├── requirements.txt
└── README.md
- Car dealers use it to monitor new listings daily, so they can identify undervalued vehicles quickly.
- Exporters use it to collect Pakistani car inventory, so they can plan cross-border resale opportunities.
- Market analysts use it to analyze pricing trends, so they can understand demand and supply shifts.
- Data scientists use it to build valuation models, so they can predict fair market prices.
Does this scraper support multiple cities at once? Yes, multiple list URLs can be provided in a single run, allowing coverage across different cities and filters.
Can I limit how many listings are collected? Yes, a maximum item limit can be configured to control total output size.
Is detail page scraping required? No, it is optional. List-only mode is faster, while detail mode provides richer data.
What output formats are supported? The data structure is compatible with CSV, Excel, JSON, and API-based integrations.
Primary Metric: Averages 120–180 listings per minute in list-only mode under normal conditions.
Reliability Metric: Maintains a success rate above 97% across multi-page runs.
Efficiency Metric: Optimized requests keep resource usage low while sustaining high throughput.
Quality Metric: Over 95% field completeness when detail mode is enabled.
"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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