Carousell Web Scraper

Overview

This Carousell Web Scraper is a tool designed to automate the process of gathering product listings from the Carousell marketplace. The scraper generates a CSV file containing essential information about each listing, including seller details, listing date, product title, price, condition, and a link to buy the item.

Features

• Input parameters prompted by the script:
  • Product name
  • Minimum price
  • Number of listings to retrieve
• Output:
  • A CSV file containing:
    • Seller Name
    • Listing Date
    • Title
    • Price
    • Condition
    • Link to Buy

Requirements

Before running the scraper, ensure you have the following installed:

• Python 3.x
• Required Python packages (specified in requirements.txt)

Installation

1. Clone the repository:

   git clone <repository-url>
   cd <repository-directory>

2. Install the required packages:

   pip install -r requirements.txt

Usage

1. Open your terminal or command prompt.

2. Navigate to the directory where the scraper is located.

3. Run the scraper with the following command:

   python scraper.py

4. The script will prompt you to enter:

   • Product Name
   • Minimum Price
   • Number of Listings

5. The scraper will generate a CSV file named listings.csv containing the retrieved listings.

Output

The output CSV file (listings.csv) will include the following columns:

• Seller Name: The name of the seller.
• Listing Date: The date the listing was created.
• Title: The title of the listing.
• Price: The price of the product.
• Condition: The condition of the item (e.g., new, used).
• Link to Buy: The direct link to the listing for purchase.

Contributing

Contributions are welcome! If you have suggestions for improvements or new features, please open an issue or submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Thanks to the Carousell community for providing a platform for buying and selling items.