🚗 Turbo.Az Scraper:

Are you tired of manually sifting through car listings on turbo.az to gather data? Do you wish there was an automated way to compile detailed information about vehicles for sale in Azerbaijan? Look no further!

TurboScraper is a powerful Java-based web scraping tool designed to effortlessly extract comprehensive car listing data from turbo.az and organize it into a clean, accessible Excel spreadsheet.

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✨ Features

• Effortless Data Extraction: Scrapes key information like title, price, location, mileage, year, ban type, transmission, engine volume, and color directly from turbo.az listings.
• Deep Dive Details: Goes beyond summary information by navigating to individual product pages to fetch granular details for each car.
• Structured Output: Organizes all extracted data neatly into an Excel file (.xlsx), ready for analysis, reporting, or further processing.
• Robust & Reliable: Built with Jsoup for efficient HTML parsing and Apache POI for seamless Excel file generation.

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🛠️ How It Works

TurboScraper operates in a few simple steps:

1. It connects to the main car listings page on turbo.az.
2. It identifies individual car listings on the page.
3. For each listing, it extracts basic details and then navigates to the car's dedicated product page.
4. On the product page, it extracts a wealth of detailed specifications.
5. Finally, all collected data is compiled row-by-row into a new Excel spreadsheet named product_data.xlsx.

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🚀 Getting Started

To get this project up and running on your local machine, follow these steps:

Prerequisites

• Java Development Kit (JDK): Make sure you have JDK 8 or higher installed.
• Maven (recommended) or Gradle for dependency management.

Installation

1. Clone the repository:

   git clone [https://github.com/YourUsername/TurboScraper.git](https://github.com/YourUsername/TurboScraper.git)
   cd TurboScraper

2. Add Dependencies:

   If using Maven, add the following to your pom.xml:

   <dependencies>
       <dependency>
           <groupId>org.jsoup</groupId>
           <artifactId>jsoup</artifactId>
           <version>1.17.2</version> </dependency>
       <dependency>
           <groupId>org.apache.poi</groupId>
           <artifactId>poi</artifactId>
           <version>5.2.5</version> </dependency>
       <dependency>
           <groupId>org.apache.poi</groupId>
           <artifactId>poi-ooxml</artifactId>
           <version>5.2.5</version> </dependency>
   </dependencies>

   (Alternatively, you can manually download the Jsoup and Apache POI JARs and add them to your project's build path.)

Running the Scraper

1. Compile the project:

   javac -cp "path/to/jsoup.jar:path/to/poi.jar:path/to/poi-ooxml.jar" Main.java # Adjust paths as needed

   Or, if using Maven:

   mvn clean install

2. Run the Main class:

   java -cp ".;path/to/jsoup.jar;path/to/poi.jar;path/to/poi-ooxml.jar" org.example.Main # Windows
   java -cp ".:path/to/jsoup.jar:path/to/poi.jar:path/to/poi-ooxml.jar" org.example.Main # macOS/Linux

   Or, if using Maven:

   mvn exec:java -Dexec.mainClass="org.example.Main"

After successful execution, an Excel file named product_data.xlsx will be generated in your project's root directory, containing all the scraped car data.

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⚠️ Disclaimer

This tool is intended for educational purposes and personal data analysis. Please be mindful of turbo.az's terms of service and robots.txt file. Excessive or rapid scraping can lead to your IP being blocked. Use responsibly.

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🤝 Contributing

Contributions are welcome! If you have ideas for improvements, new features, or bug fixes, feel free to open an issue or submit a pull request.

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📄 License

This project is open-source and available under the MIT License.

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Happy Scraping!