Web Auto Scraper

Web Auto Scraper extracts detailed car and motorcycle listings from WebAuto.com.py, delivering clean and structured vehicle data for analysis and integration. It solves the challenge of collecting large-scale automotive market data with accuracy, consistency, and speed.

     

Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Introduction

Web Auto Scraper is designed to collect comprehensive vehicle listings from Paraguay’s leading automotive marketplace. It automates data collection, normalization, and export so users can focus on insights instead of manual work. This project is ideal for developers, analysts, and automotive businesses needing reliable vehicle data.

Automotive Marketplace Data Extraction

• Supports cars and motorcycles across multiple categories
• Handles pagination and large result sets automatically
• Normalizes pricing, specifications, and seller details
• Produces analysis-ready structured datasets

Features

Feature	Description
Vehicle listings extraction	Collects cars and motorcycles with full specifications.
Pricing & specifications	Extracts price, currency, mileage, year, fuel, and transmission.
Seller information	Captures seller name, phone, email, and location.
Image gallery support	Downloads multiple high-quality vehicle images per listing.
Filter-ready scraping	Works with brand, model, year, and price filtered URLs.
Structured exports	Outputs data suitable for databases and analytics tools.

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What Data This Scraper Extracts

Field Name	Field Description
id	Unique vehicle identifier.
brand	Vehicle manufacturer name.
model	Vehicle model name.
version	Variant or trim level.
year	Manufacturing year.
price	Listed vehicle price.
price_currency	Currency of the price.
km	Mileage in kilometers.
fuel_type	Fuel used by the vehicle.
transmission_type	Gearbox type.
body_style	Vehicle category or body type.
primary_color	Main vehicle color.
city	Seller city.
state	Seller state or region.
seller_name	Seller full name.
seller_phone	Seller contact phone.
seller_email	Seller contact email.
images	Array of vehicle image URLs.
optionals	Optional features and equipment.

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Example Output

[
      {
        "id": 565,
        "brand": "TOYOTA",
        "model": "Land Cruiser",
        "version": "Vx",
        "year": 2010,
        "price": 45000,
        "price_currency": "USD",
        "km": 10,
        "fuel_type": "Diesel",
        "transmission_type": "Automático",
        "body_style": "SUV",
        "primary_color": "Gris",
        "city": "Asuncion",
        "state": "Central",
        "seller_name": "Darling Vega Nascimento",
        "seller_phone": "+595981124005",
        "seller_email": "vegadarling45@gmail.com",
        "images": [
          "https://webauto.com.py/public/images/autos/vehicle1.jpeg",
          "https://webauto.com.py/public/images/autos/vehicle2.jpeg"
        ],
        "optionals": [
          "Aire Acondicionado",
          "Asiento Con Regulación De Altura",
          "Vidrios Eléctricos"
        ]
      }
    ]

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Directory Structure Tree

web-auto-scraper (IMPORTANT :!! always keep this name as the name of the apify actor !!! Web Auto Scraper )/
├── src/
│   ├── main.py
│   ├── crawler/
│   │   ├── listing_crawler.py
│   │   └── pagination.py
│   ├── parsers/
│   │   ├── vehicle_parser.py
│   │   └── seller_parser.py
│   ├── utils/
│   │   └── normalizer.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── sample_output.json
│   └── inputs.sample.txt
├── requirements.txt
└── README.md

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Use Cases

• Automotive dealerships use it to monitor competitor listings so they can optimize pricing strategies.
• Market researchers use it to analyze vehicle trends and demand across regions.
• Price comparison platforms use it to build up-to-date vehicle databases.
• Import/export businesses use it to track availability and market value of vehicles.

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FAQs

Can I scrape both cars and motorcycles? Yes, the scraper supports both categories and works with category or filtered listing URLs.

Is it possible to limit the number of results? Yes, you can control the maximum number of vehicles collected for testing or budget control.

Does the scraper support filtered searches? Yes, filtered URLs by brand, model, year, or price are fully supported.

How fresh is the data? Listings reflect the current state of the marketplace at the time of execution.

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Performance Benchmarks and Results

Primary Metric: Processes several hundred vehicle listings per minute under normal conditions.

Reliability Metric: Maintains a high success rate across large paginated result sets.

Efficiency Metric: Optimized crawling minimizes redundant requests and resource usage.

Quality Metric: Delivers consistently complete records with validated and normalized fields.

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