🕸️ WebScraping4devs

🌟 Project Overview

WebScraping4devs is a web scraping application designed to extract:

• 🆔 CPF numbers
• 💳 Credit card details

The project leverages Selenium for web automation and CsvHelper for CSV file manipulation. Extracted data is saved into CSV files for further use.

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✨ Features

🆔 CPF Extraction

• Navigates to a specified URL.
• Generates a specified number of CPF numbers.
• Saves the data into a CSV file.

💳 Credit Card Number Extraction

• Navigates to a specified URL.
• Generates credit card numbers for a given card type (e.g., MasterCard, Visa).
• Saves the data into a CSV file.

📂 CSV File Saving

• Utilizes the CsvHelper library for structured CSV file manipulation.

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📦 Libraries Used

• Selenium.WebDriver 🕵️‍♂️: Automates web browser interaction to navigate web pages and extract data.
• CsvHelper 🗂️: Reads and writes CSV files to save the extracted data.

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🏗️ Project Structure

The project is organized as follows:

• 📂 Driver: Contains the main web scraping logic.
  • WebScraping.cs: Implements web scraping functionality and CSV file saving.
• 📂 Enum: Contains enumerations used in the project.
  • Flag.cs: Defines the Flag enumeration for different credit card types.
• 📂 Model: Contains data models.
  • Cpf.cs: Defines the Cpf class for CPF data.
  • CreditCard.cs: Defines the CreditCard class for credit card data.
• 🚀 Program.cs: The entry point of the application.
• 📄 WebScraping4devs.csproj: Project configuration and dependencies.
• 📂 WebScraping4devs.sln: Solution file for Visual Studio.

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🚀 Usage

To run the project, follow these steps:

1. Execute the Main method in Program.cs.
2. The application will:
   • Instantiate the WebScraping class.
   • Call GetCPF to extract CPF numbers and save them to a CSV file.
   • Call GetCardNumber to extract credit card numbers and save them to a CSV file.
   • Close the web driver.

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💡 Summary

This project demonstrates:

• 🕵️‍♀️ The use of Selenium for web scraping.
• 📂 The use of CsvHelper for CSV file manipulation.

It's a practical example of leveraging powerful libraries for data extraction in a .NET application. 🚀