ismailjm / scraping_salvage_cars_images

Salvage cars websites Scraping

This repository contains a web scraping project that collects data from [insert website name]. The collected data includes [describe the data collected]. The project utilizes various technologies and libraries to automate the data collection process.

Table of Contents

• Project Description
• Technologies Used
• Installation
• Usage
• Contributing
• License

Project Description

The project aims to automate the process of data collection from [insert website name] using web scraping techniques. It collects [describe the data collected] and stores it for further analysis or processing.

Technologies Used

The project utilizes the following technologies and libraries:

• Selenium: A web automation tool used for navigating web pages and extracting data.
• Pandas: A data manipulation and analysis library used for storing and processing the collected data.
• Concurrent Futures: A library used for concurrent execution of tasks, improving performance.

Installation

To run the project locally, follow these steps:

1. Clone the repository to your local machine:

git clone https://github.com/Ismailjm/Scraping_salvage_cars_images.git

2. Navigate to the project directory:

cd Scraping_salvage_cars_images

3. Install the required dependencies using pip:

pip install -r requirements.txt

Usage

To use the project, follow these steps:

1. Open a terminal or command prompt.

2. Navigate to the project directory.

3. Run the main script to start the data collection process:

python main.py

4. Follow the on-screen instructions or check the output files for the collected data.

Contributing

Contributions to the project are welcome. To contribute, please follow these steps:

1. Fork the repository.

2. Create a new branch for your feature or bug fix:

git checkout -b feature-name

3. Make your changes and commit them:

git commit -m "Your commit message"

4. Push to your forked repository:

git push origin feature-name

5. Create a pull request.

License

This project is licensed under the MIT License. Feel free to modify and distribute the code for your own purposes.